Jobs

Job Description

We are looking for a Senior Electrical Engineer who will play a pivotal role in leading the electrical architecture, hardware design, and system integration of next-generation medical imaging systems. In this role, you will drive the design of high-density PCBAs, precision motor control systems for mechanical positioning gantries, and critical imaging signal chains, while mentoring engineers and acting as the technical anchor for a cross-geography engineering team. This position requires a proactive experienced engineer who can balance deep hands-on hardware work with design controls, documentation, and supplier coordination.

Expected skills:

• Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or a related technical discipline
• 8+ years of experience in hardware development, including 3+ years in a high-reliability hardware engineering environment (Medical Devices preferred; Aerospace or Automotive considered)
• High proficiency with schematic capture and PCB CAD tools (Cadence Allegro, Altium Designer, etc..)
• Practical experience architecting AC/DC power stages, gate drivers, current sensing, and protection circuitry
• Hands-on expertise designing precision motor control architectures (BLDC and Stepper) for mechanical positioning systems
• Strong understanding of signal integrity, EMI/EMC mitigation, and noise reduction in microvolt-level analog/imaging signal chains
• Exposure to safety, EMC, and risk management frameworks (such as IEC 60601-1, IEC 60601-1-2, ISO 14971); specific regulatory standard expectations are currently TBD and will be finalized based on project scope
• Expert-level command of lab equipment (oscilloscopes, spectrum analyzers, logic analyzers, function generators)
• Strong technical leadership skills with a track record of mentoring engineers and driving CAPA/root-cause investigations
• Advanced English communication and presentation skills, able to translate hardware constraints for global, cross-functional stakeholders

Job Responsibilities

• Drive the design, prototyping, and testing of complex electrical systems, subsystems, and high-density multi-layer PCBAs for next-generation medical imaging platforms
• Architect and optimize AC/DC power stages, gate drivers, current sensing, protection circuitry, and precision BLDC/Stepper motor control used in mechanical positioning gantries
• Analyze and optimize the critical electrical image chain to minimize noise, manage EMI/EMC, and improve system-level imaging performance
• Assist in defining and adapting hardware designs as formal regulatory, safety, and EMC standard compliance requirements are finalized
• Author and review engineering documentation(schematics, design descriptions, risk assessments, verification protocols) in alignment with applicable quality processes
• Serve as technical point of contact for the APAC engineering pod; mentor junior engineers, lead CAPA/root-cause analysis, and coordinate with suppliers and CMs on DFM

Department/Project Description

Company Description:

A global leader in medical technology dedicated to enabling healthier lives through early detection, advanced diagnosis, and premium diagnostic imaging solutions. The organization develops high-precision capital equipment and integrated hardware systems used by healthcare providers worldwide.

Project Description:

The project focuses on the electrical hardware architecture of a flagship digital mammography and 3D tomosynthesis platform used for breast cancer screening and diagnosis. Work spans the system's mechanical positioning gantry (motorized C-arm rotation and compression mechanisms), power electronics, and the electrical signal chain feeding the digital detector, with a strong emphasis on image quality, patient/technologist safety, and system-level performance. The role combines hands-on hardware design and lab-based debugging with technical leadership and mentorship of a distributed engineering team.

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back. This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audienceWe are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen
 

About your role: This is your opportunity to take full ownership of marketing strategy, budgets, and growth for a global product that already ranks among the top in its niche. You will lead the charge toward $1.2M monthly marketing spend, driving impact across acquisition, retention, and monetization in Tier-1 markets. This role is for someone who thrives in dynamic environments, builds data-driven strategies, and knows exactly how to turn great creatives and hypotheses into measurable business results

In this role, you will:

• Lead strategic product marketing: develop and execute a comprehensive growth strategy
• Scale the product to a monthly budget of $1,200,000 within defined KPIs
• Build a traffic and product-marketing hypothesis roadmap to improve marketing metrics through continuous experimentation
• Coordinate and manage a cross-functional team (UAM, Creative, ASO, PMM) to achieve KPI
• Establish testing frameworks, scaling rules, and control systems for CPA and ROI
• Lead, hire, and grow your team — hold 1:1s, performance reviews, and expand the department
  
  It’s all about you:
• 5+ years of experience in performance marketing for mobile apps (preferably in video streaming / live / social apps)
• Proven track record of managing $1M+ monthly budgets and leading teams of 5+ people
• Deep understanding of unit economics, cohort analysis, and performance marketing metrics
• Strong knowledge of advertising auctions, attribution models, and MMP tools
• Hands-on experience in traffic acquisition and scaling channels
• Expertise in marketing analytics with BI tools (Tableau, Data Studio, AppsFlyer, Firebase)
• Experience with MarTech solutions and process automation
• Understanding of ASO, SEO, marketing funnels, and influencer collaborations
• Ownership mindset and strategic thinking with a focus on measurable growth outcomes
  
  What we offer:
  Care and support: 
• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
• Comfortable working environment:
• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
• Investment in your future:
• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
  
  Hiring process:
• Intro call
• Technical interview
• Interview with Hiring Team
• Bar-rasing 
• Reference check
• Offer

On behalf of our Client from the US, Mobilunity is looking for a Principal Solution Architect.

We are looking for a Principal Solution Architect to lead multiple engineering teams while remaining actively involved in technical architecture and strategic engineering decisions. This role is ideal for an experienced engineering leader who enjoys developing high-performing teams, defining technical standards, and driving successful delivery across complex ecommerce platforms.

As a Principal Solution Architect, you will shape engineering practices across the organization, mentor engineering managers and technical leaders, establish architectural direction, and ensure consistent delivery excellence in a distributed, asynchronous work environment. While the role is primarily leadership-focused, approximately 20–30% of your time will remain hands-on, providing architectural guidance and supporting critical technical initiatives.

WE ARE LOOKING FOR A PERSON WHO IS AVAILABLE TO WORK US HOURS

Responsibilities:Engineering Leadership

• Lead multiple distributed engineering teams, ensuring successful delivery, high engineering standards, and predictable execution.
• Manage, mentor, and develop engineering managers, technical leads, and software architects.
• Build a strong engineering leadership organization and coach leaders on communication, technical decision-making, and cross-functional collaboration.
• Drive engineering excellence by improving development workflows, documentation standards, coding practices, and technical processes.
• Establish scalable engineering standards, architecture guidelines, and development practices across teams.
• Continuously improve software quality, delivery efficiency, and engineering culture.

Frontend Architecture

• Design and own frontend architectures using Next.js, React, and TypeScript for enterprise commerce implementations.
• Define architecture patterns, rendering strategies, state management, caching, scalability, and performance best practices.
• Deeply evaluate and make architectural decisions around SSR, React Server Components, edge computing, and serverless patterns.
• Document key architectural decisions through Architecture Decision Records (ADRs).
• Participate hands-on in complex technical initiatives and architectural discussions when required.
• Identify architectural risks and prevent architectural drift when implementation diverges from the intended design.

Delivery & Technical Planning

• Break large epics into implementable stories with clear acceptance criteria.
• Identify technical dependencies, risks, and complexity and provide realistic estimates.
• Resolve technical ambiguity before work enters a sprint, ensuring engineers have sufficient technical direction to execute effectively.
• Translate complex architectural decisions into practical implementation plans for engineering teams.
• Ensure technical decisions support both short-term delivery objectives and long-term platform scalability.

Performance & Engineering Excellence

• Drive Core Web Vitals performance across delivery teams and establish measurable performance standards engineers build against in every PR.
• Define and enforce best practices for CDN configuration, caching, rendering strategies, and frontend performance.
• Identify performance bottlenecks and drive measurable improvements in application speed, scalability, and reliability.
• Establish coding standards and project conventions in formats that are clear and executable by both engineers and AI agents.

AI-Assisted & Agentic Engineering

• Establish effective AI-assisted development practices across engineering teams.
• Define standards and guidelines for AI-generated code, including review, testing, security, and maintainability expectations.
• Establish specification-driven development practices that enable AI agents to execute technical work reliably.
• Structure technical specifications, documentation, and project context so they can be effectively consumed by AI agents.
• Decompose features and engineering tasks so that agent-generated output is reviewable, testable, and reliable.
• Help teams move beyond individual AI tool usage toward consistent, team-wide agentic engineering workflows.
• Evaluate and continuously improve AI-assisted engineering practices to increase development efficiency without compromising quality.

Client & Stakeholder Collaboration

• Collaborate directly with clients during discovery to understand business requirements and translate them into scalable, pragmatic architecture roadmaps.
• Partner with Product Managers and cross-functional stakeholders to prioritize work and balance competing business objectives.
• Explain architectural decisions and technical trade-offs clearly to both technical and non-technical stakeholders.
• Support technical discovery, solution definition, estimation, and roadmap planning.
• Build strong relationships with clients and internal stakeholders while maintaining technical ownership of the solution.

Requirements:

• 5+ years of engineering management experience, including managing engineering managers, technical leads, software architects, or similar senior technical leaders.
• Proven experience leading multiple engineering teams and delivering complex software projects successfully.
• Proven architectural experience designing frontend systems and leading distributed engineering teams of 3+ engineers.
• Deep proficiency in Next.js, React, and TypeScript.
• Strong understanding of modern web architecture, including:
  • Next.js App Router
  • React Server Components
  • SSR strategies
  • Edge computing
  • Serverless architecture
  • State management
  • Caching
• Strong software architecture and system design skills, with experience defining architecture standards and documenting decisions through ADRs.
• Strong performance engineering expertise, including Core Web Vitals optimization, CDN configuration, caching strategies, and measurable performance improvements.
• Proven ability to translate ambiguous business requirements into scalable technical solutions and actionable engineering plans.
• Experience breaking epics into implementable stories, defining acceptance criteria, identifying dependencies, and estimating complexity.
• Experience resolving technical ambiguity and providing engineering teams with clear technical direction.
• Experience working with AI-assisted development tools and establishing AI engineering practices at a team or organizational level.
• Demonstrated experience designing workflows for agentic software development, including executable specifications, structured documentation, context management, and reviewable AI-generated output.
• Excellent written and verbal English communication skills.
• Strong leadership, mentoring, stakeholder management, and decision-making skills.

• Experience working with distributed Agile teams.

   

Nice to have:

• Hands-on experience with Salesforce Commerce Cloud (SFRA, OCAPI, SCAPI).
• Experience with Shopify Plus, Hydrogen, BigCommerce, or SCAYLE.
• Familiarity with composable commerce and MACH architecture.
• Experience working with headless CMS platforms.
• Knowledge of CI/CD pipelines and cloud deployment practices.
• Previous experience in e-commerce, retail technology, or digital commerce

Наш клієнт, Jugabet — бренд і ігрова платформа, доступна для гравців у Латинській Америці. Завдяки сильному регіональному фокусу та локалізованим стратегіям, Jugabet швидко стає ключовим гравцем на ринку.

Ідеально для тих, хто прагне:

• Керувати загальним маркетинговим напрямком для регіону LATAM у performance-маркетингу, SEO, SMM, афіліатах, інфлюенсерах, бренді та офлайн-каналах;
• Керувати командою медіабаїнгу, забезпечуючи ефективний розподіл бюджету, конкурентну CPA та якісний трафік;
• Виявляти й запускати нові джерела трафіку, аудиторні сегменти, креативні підходи та альтернативні рекламні рішення;
• Координувати крос-функціональні маркетингові команди, перетворюючи регіональні бізнес-цілі та ринкові інсайти на чіткі брифи, ініціативи та вимірювані пріоритети;
• Пропонувати ринково-специфічні пропозиції росту та забезпечувати їх ефективне виконання відповідними командами;
• Тісно співпрацювати з афіліат-департаментом для покращення якості трафіку та ключових метрик, зокрема NGR, LTV та ROI;
• Співпрацювати з SEO-командою, надаючи регіональні інсайти, виявляючи можливості росту, узгоджуючи пріоритети та контролюючи виконання відповідно до бізнес-цілей;
• Координувати SMM- та інфлюенсер-ініціативи з урахуванням локальної аудиторії та культурної специфіки;
• Розвивати регіональний бренд через цифрові й офлайн-ініціативи, узгоджені з поведінкою місцевих гравців;
• Відповідати за регіональні маркетингові бюджети, звітність з ефективності та цілі росту.

Досвід, який стане твоєю перевагою:

• 3+ роки досвіду в digital- або performance-маркетингу, включно з керівною роллю в iGaming;
• Підтверджений досвід управління медіабаїрами та координації крос-функціональних маркетингових команд;
• Сильна експертиза в таргетингу та сегментації аудиторії на Meta, Google, TikTok та альтернативних рекламних платформах;
• Практичний досвід ретаргетингу, look-alike аудиторій, тестування креативів та аудиторій, оптимізації та масштабування кампаній;
• Глибоке розуміння платного залучення трафіку через Google, Meta та альтернативні рекламні мережі;
• Досвід роботи з performance-маркетингом, SEO, SMM, афіліатами, інфлюенсерами та брендовими ініціативами;
• Глибоке розуміння iGaming-ландшафту LATAM, включно з поведінкою місцевих гравців, культурними особливостями та регуляторною специфікою;
• Експертний рівень розуміння метрик CPA, FTD, NGR, LTV, ROI та GGR;
• Практичний досвід роботи з інструментами атрибуції та трекінгу, такими як AppsFlyer та Adjust;
• Підтверджений досвід управління значними щомісячними маркетинговими бюджетами;
• Досвід запуску нових ринків або побудови маркетингової функції з нуля;

• Сильна мережа афіліат-партнерів, локальних інфлюенсерів або тіпстерів у LATAM буде перевагою.

   

Ми цінуємо:

• Data-driven мислення та комерційна орієнтованість; проактивність, самостійність і готовність приймати рішення з високим впливом;
• Сильні навички крос-функціонального менеджменту та комунікації;
• Здатність перетворювати ринкові інсайти на чіткі ініціативи та практичні брифи;
• Висока адаптивність і комфорт у динамічному, швидкозмінному середовищі iGaming.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Медичне страхування;
• Можливості для кар’єрного зростання;
• Пакет бенефітів (відшкодування витрат на спортзал, стоматологічні та психологічні послуги тощо);
• Бонусну систему на основі OKR;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:

Our client, Jugabet, is a brand and gaming platform accessible to players in Latin America. With a strong regional focus and localized strategies, Jugabet is quickly becoming a key player in the market.

Perfect for those who aim to:

• Own and drive the overall marketing direction for the LATAM region across performance marketing, SEO, SMM, affiliates, influencers, brand, and offline channels;
• Lead and manage the media buying team, ensuring efficient budget allocation, competitive CPA, and high-quality traffic;
• Identify and launch new traffic sources, audience segments, creative approaches, and alternative advertising solutions;
• Coordinate cross-functional marketing teams, translating regional business goals and market insights into clear briefs, initiatives, and measurable priorities;
• Bring market-specific growth proposals and ensure their effective execution by the relevant teams;
• Work closely with the Affiliate Department to improve traffic quality and key metrics, including NGR, LTV, and ROI;
• Collaborate with the SEO team by providing regional insights, identifying growth opportunities, aligning priorities, and overseeing execution against business objectives;
• Coordinate SMM and influencer initiatives tailored to local audiences and cultural specifics;
• Drive regional brand growth through digital and offline initiatives aligned with local player behaviour;

• Own regional marketing budgets, performance reporting and growth targets.

   

Experience you’ll need to bring:

• 3+ years of experience in digital or performance marketing, including a leadership role within iGaming;
• Proven experience managing media buyers and coordinating cross-functional marketing teams;
• Strong expertise in audience targeting and segmentation across Meta, Google, TikTok and alternative advertising platforms;
• Practical experience with retargeting, lookalike audiences, creative and audience testing, campaign optimisation and scaling;
• Strong understanding of paid acquisition across Google, Meta and alternative advertising networks;
• Experience working across performance marketing, SEO, SMM, affiliates, influencers and brand initiatives;
• Deep understanding of the LATAM iGaming landscape, including local player behaviour, cultural insights and regulatory specifics;
• Expert-level understanding of CPA, FTD, NGR, LTV, ROI and GGR metrics;
• Hands-on experience with attribution and tracking tools such as AppsFlyer and Adjust;
• Proven experience managing substantial monthly marketing budgets;
• Experience launching new markets or building marketing functions from scratch;

• A strong network of LATAM affiliate partners, local influencers or tipsters would be an advantage.

   

It’s a perfect match if you have those personal features:

• Data-driven and commercially minded;Proactive, self-driven and comfortable making high-impact decisions;
• Strong cross-functional management and communication skills;
• Able to translate market insights into clear initiatives and actionable briefs;

• Highly adaptable and comfortable working in a dynamic, fast-changing iGaming environment.

   

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading - including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

About the Role:

We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

This is a deeply hands-on role with significant autonomy and ownership. You’ll work with modern GenAI and agentic technologies, use AI-native development workflows daily, and see the impact of your solutions quickly. As the squad grows, you’ll also guide other engineers while remaining hands-on.

Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

Required Competence and Skills:

• 5+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Experience with agent orchestration and evaluation frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel or equivalent).
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

Nice to Have:

• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.

We are seeking a highly skilled Solution Architect to drive design and delivery of cutting-edge AdTech platforms and innovations.
 

By joining our team, you will have the opportunity to work on a variety of AdTech initiatives that span programmatic advertising, real-time bidding, identity resolution, predictive analytics, and measurement. These projects are focused on developing advanced, high-value technical solutions that help our clients scale, grow, and evolve.
 

This role is well-suited for those who bring strong architectural thinking skills, experience with high-performance distributed systems, and the ability to translate complex technical concepts into clear ideas for diverse audiences. The environment is dynamic and collaborative, with daily interaction between engineers, PMs, data experts, product owners, and customer stakeholders who work together to build innovative solutions.
 

The responsibilities include guiding teams, driving architectural decisions, supporting pre-sales activities, leading discovery phases, evaluating technologies, and introducing forward-thinking approaches to address sophisticated AdTech challenges. This position involves working with mission-critical platforms that operate under extreme performance requirements, such as low latency, high load, and large volumes of data.
 

Requirements

• 7+ years of experience in software development
• 3+ years in a technical leadership or architecture role
• Strong proficiency in at least one of the following languages: C++, Golang, Rust, or Node.js
• Proven experience designing and building high-load, low-latency, and scalable cloud platforms
• Hands-on experience with containerization and orchestration (Docker, Kubernetes, Helm, etc.)
• Successful track record in consulting engagements, pre-sales activities, and client-facing presentations
• Strong understanding of distributed systems, performance optimization, messaging, caching, and API design

• Advanced level of English
   

  Would be a plus

• Experience in the AdTech domain (SSP, DSP, ad server, header bidding, OpenRTB, Prebid, VAST, user sync, identity solutions, audience data, measurement/attribution, etc.)
• Hands-on knowledge of real-time bidding systems and auction mechanics
• Familiarity with mobile ad delivery (iOS/Android)
• Experience designing SDKs, APIs, libraries, and integration frameworks
• Experience with ad integrations, analytics pipelines, consent management (TCF/GPP), and fraud detection
• Experience with Prebid ecosystem

• Understanding of privacy-driven architectures and GDPR/CCPA compliance principles
   

  Responsibilities

• Design, architect, and oversee the implementation of AdTech solutions, including SSPs, DSP integrations, ad servers, RTB pipelines, header bidding systems, identity frameworks, analytics pipelines, and auction engines
• Act as a technical driver across multiple initiatives, ensuring architectural consistency, quality, and scalability
• Stay up to date with evolving AdTech standards (OpenRTB, Prebid, VAST, GPP, TCF 2.2, UID2, RampID, etc.)
• Lead the discovery and assessment phases, including architecture reviews, gap analysis, and solution scoping
• Provide technical estimation, advisory services, PoCs, and support during pre-sale activities
• Translate complex business requirements into scalable and compliant technical architectures
• Define architectural standards, best practices, reference models, governance rules, CI/CD expectations, and operational guidelines
• Collaborate with development teams to ensure high-quality implementation and adherence to architectural decisions
• Provide recommendations for solution design, performance tuning, data modeling, and cost optimization
• Guide teams in building future-proof, maintainable, and scalable software components
• Mentor engineers, conduct knowledge-sharing sessions, and support professional growth of the team

We’re looking for a Senior DevOps Engineer (with potential to grow into a DevOps Lead) to join our core team. 

Our current main project is a well-funded cybersecurity startup building an AI-driven platform that helps enterprises identify, investigate, and remediate identity and access risks. The project involves a modern cloud-native stack and interesting challenges around infrastructure scalability, Kubernetes, security, observability, and reliability.

We’re looking for someone who can take ownership, quickly understand unfamiliar systems, and solve complex infrastructure and DevOps problems without needing step-by-step direction.

The ideal candidate has strong hands-on experience across a range of DevOps tools and cloud technologies and is comfortable working across different stacks. Beyond engineering, you should be comfortable speaking directly with customers, understanding their technical and business needs, recommending pragmatic solutions, and clearly explaining the reasoning and trade-offs behind them.

Required skill-set & experience

- Proven track record as a DevOps engineer (5+ years of production hands-on experience), fluent in industry trends & best practices 

- Extensive knowledge and hands-on experience with AWS and their key services 

- Infrastructure-as-code experience with tools like Terraform/Terragrunt, Pulumi 

- Deep understanding of k8s: networking, autoscaling, permissions, operator patterns 

- Experience with ArgoCD

- Experience with observability and monitoring: logging, metrics, tracing. Grafana stack experience preferred, but others also welcome

- Good understanding of networking: subnetting, HTTP, DNS, TLS, OSI Model

- A consulting mindset, ability to weigh and present pros/cons of various solutions

- Upper-intermediate+ level of English

Bonus points

- Experience with GCP 

- Experience in managing databases

- Experience with writing operators in Go

- AWS, GCP, CKA or other cloud certifications

- You’re a contributor to open-source software, or run your own projects

What's in it for you

- Opportunity to become a core part of a boutique software consultancy, working with well-known international customers and complex tech challenges

- Competitive salary 

- Paid national holidays, vacation and sick leave

- Annual learning & development stipend 

- Monthly health and wellness benefit (reimbursement for gym, pool, and other health-related activities)

- Remote-first culture

- Mentorship from an experienced CTO

- FOP administration support

Brief introduction
You will build production RAG and LLM systems that read real documents and run inside enterprise ERP and finance stacks.

This is a solo, end-to-end role. You join client calls, design the architecture, then build the important parts yourself. Our core stack is Python, Django, Angular and RAG. Ukraine/EU hours.

About us

Deploy Staff automates the manual work large enterprises run on: finance, operations, customer service, reporting. We build complex systems for clients in the US and UAE (currently primarily UAE), centered on production RAG and LLM workflows that read real documents and integrate with real ERP and finance systems.

Despite the name, we don't place engineers into other people's teams. We are not an outstaff company. We own the solutions we build end to end, and so will you.

The role

Solo and end to end. You are the engineer on your projects: there is no development team, and the technical work is yours from discovery through production support.

You sit in on client calls with the project manager, understand the business problem, design the architecture, then open the codebase and build it yourself. The PM runs the relationship and the commercial side. You own the system.

Solo does not mean isolated. You have direct access to the people making decisions, and we talk architecture through with you before you commit to it. After that the code is yours to write and merge. Part of the job is judgement about which calls are yours and which should come back to us, and we would rather be asked than surprised.

If you have spent recent years distributing work and reviewing it, this will feel like a step backwards. If you have spent them wishing there were fewer people between you and the problem, it will not.

What we expect

Our core stack is Python, Django, Angular and RAG/LLM-based workflows. That is what we need you to already be good at.

Core

• Production LLM work: RAG (retrieval design, chunking, evaluation), document processing, structured extraction or agentic workflows. Shipped and operated by you, through the parts that only show up after real users arrive
• Strong Python with Django or DRF, and PostgreSQL data models you can design and debug in production
• Angular and TypeScript. You own the frontend of what you build, so you need to be able to ship a feature through it without waiting for anyone
• Advanced English (C1). You will question senior stakeholders directly and explain a decision a second way when the first one does not land

Also part of the work

You will hit all of this. We do not expect equal depth in every line, and we do expect you to pick up what you are missing.

• Celery, Redis, queues and asynchronous processing
• Enterprise integration: ERP, finance, CRM systems and their APIs
• Cloud infrastructure, deployment, observability and security. AWS, GCP, Kubernetes, Docker
• Reading an existing system before changing it, and keeping what already works

What matters more than the CV

What you personally built, what you personally decided, and what happened when it broke. If your strongest examples are systems your team implemented while you supervised, this is not the right fit.

How we work

Remote, with working hours aligned to the Ukraine time zone.
Small team, direct access to decision makers, real operational problems. You get problems to solve rather than specs to implement.

Interview

1. Introductory interview.

2. Technical interview with us.

3. Test task.

4. Offer.
Interviews are recorded and shared only within the hiring team, so decisions are made on what you actually said rather than someone's notes.

Repeating once again - our core stack is Python, Django, Angular and RAG! We cannot compromise on any of these. If one of those isn't present or barely used - this is an immediate mismatch!

CodeIT Innovation is looking for an experienced Solution Architect with strong hands-on expertise in the AVEVA PI ecosystem.

In this role, you will take ownership of architecture and technical decisions for complex industrial solutions. You will work closely with customers, translate business and technical requirements into scalable architectures, and stay involved in the hands-on implementation of PI-based solutions.
 

What you'll do

• Design end-to-end AVEVA PI System architectures and technical solutions.
• Translate customer requirements into scalable, secure and maintainable solutions.
• Design asset models, data structures, integrations and analytics.
• Work with OT/IT integrations and industrial operational data.
• Lead technical and architectural workshops with customers.
• Challenge requirements and recommend the best technical approach.

• Stay hands-on with implementation, configuration, modelling, troubleshooting and upgrades.

   

What we're looking for

• 4+ years of hands-on experience with the AVEVA PI ecosystem.
• Strong expertise in PI System architecture and solution design.
• Experience with OT/IT integrations.
• Experience with asset modelling, contextualization and analytics.
• Ability to independently drive technical decisions and solution architecture.
• Strong communication skills and experience working directly with customers.
• Fluent English.
   

Nice to have

• AVEVA PI System certifications
• Knowledge of ISA-95 and IEC 62443
• Understanding of OT cybersecurity principles
• Experience in Energy or Power & Utilities industries
• Scandinavian language skills
   

Why join CodeIT Innovation?

• Work with leading industrial companies across the Nordics.
• Solve complex challenges at the intersection of OT and IT.
• High level of autonomy and influence on technical decisions.
• Small, experienced and growing team.
• Remote-first and location-independent setup.

• Opportunity to contribute to the company's technical direction.

   

If you're passionate about industrial data, AVEVA PI and building robust solutions that create real customer impact, we'd love to hear from you.

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment
 

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

Always Pushing the Boundaries? You Already Belong at RISK!
 

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.
 

We're looking for a Head of SEO to own and scale our global organic acquisition strategy across multiple brands and GEOs — someone who thinks in business outcomes, not just rankings.
 

Responsibilities:

• Define and execute SEO strategy with direct impact on FTD, LTV, and GGR — not just traffic
• Build and lead high-performing teams across Product SEO, Technical SEO, Brand Protection, and Search Visibility
• Drive Product SEO initiatives in close collaboration with Engineering, Product, Analytics, and Commercial
• Own technical SEO excellence: SSR, crawlability, indexation, structured data, Core Web Vitals, and architecture
• Develop and enforce Brand Protection strategies across organic search and Google Ads
• Lead innovation in organic acquisition — SEO, AEO, GEO, and emerging search technologies
• Manage SEO budgets, planning, resource allocation, and executive reporting
• Set KPIs and performance frameworks that actually mean something

Requirements:

• 5+ years of hands-on SEO experience
• 3+ years leading SEO teams in iGaming
• 2+ years focused on Product SEO
• Experience in offshore iGaming environments
• Proven track record managing teams of 15+ specialists
• Strong business acumen: budgeting, planning, performance management
• Deep technical SEO expertise — SSR, Schema Markup, Crawl Optimization, Website Architecture, Core Web Vitals
• Data-driven mindset with strong command of SEO and BI tools
• Experience across multiple brands and international markets
• Excellent cross-functional leadership and stakeholder management
   

Will be a plus:

• Experience with AI-powered search and AEO
• Built an SEO organization from scratch
• Brand protection in highly competitive search environments

• Large-scale enterprise SEO background
   

  Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!
   

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a fast-growing startup focused on modernizing the way companies manage procurement and purchasing. They help organizations streamline procurement workflows, vendor management, and internal processes, allowing them to move faster, control spending, and gain better visibility. The company is small, fast-moving, and highly customer-focused. They work closely with their customers and move quickly from feedback to product improvements. Their platform is highly configurable and integrates with systems such as ERPs, CLMs, and collaboration tools.

Key Requirements:
🔹 You have solid 10+ years of experience building and operating production backend systems;
🔹 You are strong at debugging and refactoring across services, logs, and data and strive for;
🔹 Precise understanding, not hand wavy guesses;
🔹 AWS, with a heavy use of managed and serverless services;
🔹 TypeScript and Node for backend services;
🔹 Aurora Postgres;
🔹 Python for some services and data related work;
🔹 Integrations with third party APIs, ERPs, CLMs, and collaboration tools;
🔹 And flows rather than only individual endpoints;
🔹 You have taken ownership of technically challenging and evolving projects before and are;
🔹 Comfortable working through ambiguity;
🔹 You communicate clearly in writing and in conversation and are comfortable pushing back;
🔹 Asking questions, and exposing risks early;
🔹 You are good at using documentation, experimentation, and AI tools to unblock yourself and;
🔹 Accelerate your work, while still owning correctness and quality;
🔹 You care about leaving codebases and systems in a better state than you found them and;
🔹 Think about maintainability by default;
🔹 Priori experience working at a US based company is a nice to have;
🔹 English – Upper-Intermediate or higher.

Will be plus:
🔹 You can clearly communicate and debate complex problems and proposed solutions;
🔹 You have a broad engineering mindset and enjoy understanding systems end to end;
🔹 You are comfortable taking ownership of technically challenging, evolving projects, not just;
🔹 Well scoped tickets;
🔹 It is very important to us that you are independent: you know how to ask questions, ask for;
🔹 Help, and own your features start to finish;

What you will do:
🔹 Own features end to end and drive them from discovery through design, implementation;
🔹 Rollout, and follow up;
🔹 Work independently while collaborating smartly by unblocking yourself and asking questions;
🔹 Analyze and decompose complex work into clear, incremental steps without losing important;
🔹 Edge cases;
🔹 Communicate and debate solutions by explaining complex topics simply and leading;
🔹 Productive design discussions;
🔹 Identify and articulate tradeoffs across performance, reliability, complexity, and delivery;
🔹 Speed to guide decisions;
🔹 Design and implement backend services including APIs, background jobs, and data flows;
🔹 Across multiple domains and systems;

Interview stages:
🔹 1. Technical Interview(s) with Team Engineers;
🔹 2. Non-Technical Interview with the CTO;


Availability & Collaboration Hours

To ensure seamless collaboration across time zones, everyone is expected to be available for meetings and collaborative work for 4 hours each day, from 10:00 AM to 2:00 PM Eastern Time (ET). This is a mandatory shared availability window for all team members, regardless of their location.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startup's Data Science and R&D teams. This is a hands-on, delivery-focused role where you will own projects end-to-end, from early design to production deployment.

The role is focused on building production-grade Generative AI systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a pure research or model training role, it’s about designing and shipping reliable systems under real constraints.

📍 Work location: remote from Ukraine.

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

• Build and deliver production-ready GenAI systems on AWS, including RAG pipelines, retrieval logic, and LLM-based services
• Design and implement agent-based or multi-step workflows for real use cases (not just prototypes)
• Work closely with Solution Architects, DevOps, and client teams to turn ideas and POCs into scalable systems
• Deploy, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability
• Work with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch
• Adapt existing ML or GenAI code into production environments when needed
• Continuously improve system quality, including retrieval performance, output consistency, and evaluation approaches

• Operate in a fast-paced, project-based environment where you may own a project as the main engineer

   

Requirements

• Strong hands-on experience building and deploying AI / GenAI systems in production
• Solid experience with AWS in real projects (not just Console usage), including working with services like Bedrock, OpenSearch, Lambda, S3, or similar
• Experience building RAG systems in practice, including retrieval logic, vector databases, and output quality improvements
• Experience working with LLM frameworks or tools such as Amazon Bedrock, OpenAI, LangChain, or LlamaIndex
• Strong Python skills and a good understanding of backend system design
• Experience designing multi-agent systems or more complex orchestration workflows
• Experience with vector databases (OpenSearch, pgVector, Pinecone, etc.)
• Comfort working in fast-moving environments with short project cycles (weeks to a few months)
• Strong communication skills and ability to work directly with clients and cross-functional teams
• Ability to clearly explain technical decisions, limitations, and trade-offs in English (written and spoken)
• Experience with AWS Bedrock advanced features (e.g. Knowledge Bases, agent orchestration) - an advantage 
• Experience with Kubernetes, Docker, IaC Terraform and CI/CD pipelines  - an advantage 

• Background in Machine Learning or Data Science (including model training or fine-tuning)  - an advantage

   

What Success Looks Like in Year One

• Within 12 months, you are independently owning and delivering production GenAI systems on AWS, from initial design through deployment and iteration
• Working directly with customers and making clear architectural decisions around performance, cost, and reliability

• You are comfortable taking an ambiguous problem, turning it into a working system end-to-end, and explaining the trade-offs behind your approach

   

Why Join Automat-it?

Be at the Forefront of Cloud Innovation

Join a global leader and AWS Premier Tier Services Partner. We don't just use the cloud; we master it. As an All-In AWS partner, you’ll work with the most sophisticated tech stacks and help maintain our status as a top-tier collaborator in the global ecosystem.

Work on Meaningful, Large-Scale Impact

We specialize in helping startups and scaleups scale at speed. By joining us, you’ll be part of a team that has successfully completed hundreds of complex projects, directly influencing the growth of the next generation of unicorns through our unique "Product-based Professional Services" approach.

Accelerate Your Career Trajectory

In our fast-paced, dynamic environment, "growth" isn't just a buzzword. You will have:

• Clear Progression: Defined career paths from engineering to leadership.
• Continuous Learning: Sponsored AWS certifications and access to internal "Expert-led" knowledge sharing.
• Cutting-Edge Exposure: Early access to beta AWS features and high-level architectural challenges.

Thrive in a Culture of Excellence

We pride ourselves on a collaborative, supportive, and transparent culture. You’ll work alongside and learn from some of the industry’s brightest architects and DevOps engineers who are committed to mentorship and collective success, including AWS Gold Jacket recipients.

Global Reach, Boutique Feel

With over 250 employees across EMEA and the USA, enjoy the stability of a mature, profitable company with the agility and spirit of a startup. Whether you are working on GenAI & Agentic use cases, DevOps automation, FinOps optimization, or Kubernetes migrations, your voice is heard, and your contributions are visible.

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

We are building an international iGaming product and have been growing steadily for more than three years together with a strong in-house team.
During this time, we have not only strengthened the product but also built flexible processes that support business scaling.

Now we are actively expanding: strengthening our product expertise, growing the team, and entering the next stage of development.
That is why we are looking for a DevOps Team Lead who will lead our Platform Engineering team.

This role combines technical leadership, team management, and hands-on involvement in platform development.

Responsibilities:
• Team development — around 30% of your time:
• Develop engineers through regular feedback, mentoring, and individual development plans;
• Participate in hiring and building a strong Platform Engineering team;
• Define technical standards and ensure they are followed;
• Manage priorities between product team requests and platform development, helping the team stay focused;
• Define and execute the platform development roadmap;
• Platform development — around 70% of your time:
• Develop golden paths and reusable modules using Terraform and Helm to help teams launch new services quickly and according to common standards;
• Develop and maintain the platform based on AWS and Kubernetes;
• Develop CI/CD as a platform product, including reusable GitLab CI templates, GitOps-based deployments, and standardized delivery processes;
• Improve observability using Prometheus, Grafana, Loki, Alertmanager, distributed tracing, and shared monitoring tools across teams;
• Develop the platform’s networking and security architecture, including VPC, VPN, load balancing, and secrets management;
• Implement and improve SRE practices, including SLOs, error budgets, and an effective on-call process;
• Reduce time to production and the cognitive load on development teams through automation, standardization, and improvements to internal platform services.


Requirements:
• Experience leading a team of DevOps, SRE, or Platform Engineers;
• Hands-on experience with AWS, including EKS, RDS, VPC, IAM, and S3;
• Production experience with Kubernetes, including Helm, Ingress, StatefulSets, and Operators;
• Strong hands-on experience with Terraform, Ansible, and Helm;
• Experience building CI/CD pipelines using GitLab CI or similar tools and a good understanding of GitOps principles;
• Good understanding of networking: TCP/IP, L4/L7 load balancing, VPN, and container networking;
• Strong Linux administration skills and experience troubleshooting performance and networking issues using tools such as strace, perf, and tcpdump;
• Bash and Python skills sufficient to build your own automation tools;
• Experience building engineering processes and technical standards and scaling a Platform Engineering team.


Preferred Qualifications:
• Hands-on experience with GitOps tools such as Argo CD or Flux;
• Experience with OpenTelemetry and distributed tracing;
• Experience with secrets management solutions such as Vault, SOPS, or AWS Secrets Manager;
• Mature SRE practices, including SLOs, error budgets, and on-call processes;
• AWS FinOps experience;
• Experience running stateful services in Kubernetes, such as PostgreSQL, Kafka, Redis, and related Operators.


We offer:
• Competitive compensation that is regularly reviewed based on your professional growth and contribution to the team’s results;
• Fully remote work with flexible working hours — we focus on results rather than hours worked;
• We care about work-life balance and offer paid vacation, sick leave, public holidays, and additional days off;
• An opportunity to work with a strong team and an experienced manager who will support your professional growth and development;
• An environment with growth opportunities even for experienced senior-level professionals.

Culture Wallet — your flexible benefits budget
We give you the freedom to invest in what matters most to you:
• A personal budget for sports, education, health, hobbies, and more — the amount grows together with your level and time with the company;
• A starting bonus after successfully completing the probation period, which you can use to improve your workspace or invest in your development;
• A birthday bonus added to your Wallet;
• Spot bonuses from your manager for strong performance and contribution to the product.

Our values:
• We build a team where everyone is involved in the overall result and understands the value of their work;
• We take responsibility for quality and bring tasks to completion;
• We build a strong product through a strong team, based on openness, direct communication, and mutual respect;
• We adapt quickly to changes while keeping our pace and focus on what matters most;
• We encourage proactivity, curiosity, and continuous development, creating an environment where people support each other and grow together.

If this approach to work and professional growth resonates with you, let’s talk and see how we can be a good match 🤝

About Our Client
 

Our client builds and operates GPU cloud infrastructure at the scale modern AI demands. They run dense accelerated-compute clusters on bare metal and Kubernetes, stitched together with high-performance Ethernet and InfiniBand fabrics, and deliver them to customers as reliable, secure, high-throughput platforms. They are building Cloud v2, their next-generation, clean-slate, Kubernetes-native GPU cloud, and scaling it across new data center sites. The infrastructure team sits at the center of that effort, building the systems that turn racks of hardware into a product customers depend on.
 

The role

We are hiring a Senior Observability Engineer to build the observability layer for Cloud v2. This role exists to close the single most damaging gap in our client’s current product: today their observability is reactive, so customers are their failure detector. Some of their worst incidents went undetected internally because they occurred below the layer they instrument (a corrupted forwarding entry, a flapping firewall sync process), and the customer reported the outage before their dashboards did. Cloud v2 is architected from day one against the industry’s Gold-tier bar for neocloud platforms (SemiAnalysis ClusterMAX), and proactive detection, where they see problems before the customer does, is the trust gap they are building this platform to fix.
 

You own the metrics, logs, alerting, dashboards, and detection stack that make that true. That means operator-facing observability that catches failures first and drives automated remediation, and tenant-facing observability that gives customers the usage, health, and status visibility a hyperscaler-grade cloud implies. This is the observability workstream the platform validates earliest, because detection is where the current product loses trust, and it maps directly to the ClusterMAX Monitoring and Reliability criteria.
 

This is a build-focused, hands-on senior IC role. You will spend your time engineering the telemetry pipelines, detection logic, dashboards, and alerting that turn raw signals from multi-vendor GPUs (AMD/NVIDIA), hosts, fabrics, and switches into problems we catch before customers feel them, and you will set the technical direction and standards for how we instrument the platform. You will partner closely with our client’s SRE, platform, network, and security engineers, who own the control-plane architecture, the fabric, and day-to-day operations; you own the observability that makes the whole platform legible and its failures visible.
 

What you’ll own

The OpenTelemetry foundation: own OpenTelemetry as the instrumentation standard the whole platform plugs into: the collector topology and pipelines, semantic conventions for metrics, logs, and traces, and consistent resource and tenant attribution across GPU, host, fabric, switch, and control-plane signals. Everything we instrument, internal and tenant-facing, lands on this common backbone so signals are portable, correlated, and not locked to any one backend.

Proactive detection: build the detection that fires before a customer reports, GPU failure-rate tracking, Xid detection, and the anomaly and threshold signals that feed the automated detect-drain-remediate loop, so mean time to detect stops being inverted and our client sees the problem first.

The metrics pipeline: own the metrics stack across GPU, CPU, network planes, thermal, and power (Prometheus and OpenTelemetry-based), including the DCGM profiling-metric suite (DCGM_FI_PROF_* for SM activity and tensor TFLOPs, plus PCIe AER, ECC, power and thermal, and NVLink and fabric throughput), with custom exporters and OpenTelemetry receivers where DCGM falls short.

Instrumenting below the layer we watch today: push instrumentation down into the sub-layers where our most damaging silent failures live (forwarding state, firewall and HA sync, fabric health), so the failure classes that used to reach us through the customer surface on our own dashboards instead.

Host and switch debug data: build reliable extraction of host and switch debug and telemetry data so responders have the signal they need without hand-collecting it during an incident.

Operator and tenant dashboards and alerting: build the operator dashboards and low-noise, actionable alerting the on-call team runs on, and a tenant-facing status page so customers are not our failure detector.

Tenant-scoped observability: deliver per-tenant usage and utilization visibility and per-tenant access to logs and metrics, cleanly isolated from internal ops telemetry, on a multi-tenant model where no tenant can see another’s data.

Proactive customer notifications: build automated, proactive maintenance and change notifications to affected tenants, replacing today’s manual and ad hoc comms.

Reliability and SLO instrumentation: build the telemetry behind the 99.9%+ node SLA measurement, the passive and active health-check battery, and MTTA and MTTR tracking, so reliability is measured, not asserted, and so the health automation has trustworthy signal to act on.

AI-leveraged observability: push our observability toward an AI-augmented model, agentic triage, anomaly detection, alert-noise reduction, and MCP-driven access to our operational telemetry, so a small team catches more, faster, than headcount alone would allow.

Technical direction and standards: set the instrumentation patterns, metric and label conventions, alerting standards, and SLO practice the rest of the platform adopts, and raise the bar through design review and mentorship.
 

What we’re looking for

Required

8+ years building production observability or monitoring systems at scale, ideally for cloud, hosting, or high-performance compute environments, with real platform-build experience (not solely operating dashboards someone else built).

Deep expertise with Prometheus and the metrics ecosystem: PromQL, exporters, recording and alerting rules, Alertmanager, and Grafana, used to build durable, reusable observability rather than one-off dashboards.

Hands-on experience designing and running OpenTelemetry as a foundational instrumentation layer: the Collector, receivers and exporters, semantic conventions, and vendor-neutral pipelines that multiple backends and teams plug into.

Experience running time-series at scale, including long-term and high-cardinality storage (Thanos, Mimir, Cortex, or VictoriaMetrics), and a real understanding of cardinality, retention, and query-performance tradeoffs.

A track record of building alerting that is actionable and low-noise, and of practicing SLO and error-budget-based reliability rather than alert on everything.

Strong programming skills in a real language (Python, Go, or similar) used to build maintainable exporters, collectors, and observability tooling, not just glue scripts.

Strong Linux systems fundamentals: you can reason about the OS, networking, storage, and the boot and provisioning path, and instrument at that level, not just at the application surface.

A track record of owning significant observability systems end to end and setting technical direction that other engineers adopt: defining standards and influencing architecture across a team.

A demonstrated bias toward building things right the first time: reproducible, code-defined observability and sound instrumentation design over short-term shortcuts.

Strong written communication: you document designs and decisions clearly, and you raise the team’s bar through design review and mentorship.
 

Strongly preferred

Multi-vendor GPU/HPC observability: DCGM & dcgm-exporter (NVIDIA) and RDC & AMD Device Metrics Exporter (AMD/ROCm); NVML and AMD SMI; Xid vs. amdgpu/RAS error reporting; DCGM_FI_PROF_* and ROCProfiler profiling metrics; GPU node health checks (DCGM diagnostics, AGFHC, ROCm Validation Suite).

Experience building multi-tenant, tenant-facing observability with per-tenant metric and log isolation.

Checkmk (our client runs parent and child sites today), and experience migrating or bridging a Checkmk estate into a modern metrics stack.

Network and fabric observability: switch telemetry, streaming telemetry (gNMI) and SNMP, BGP and fabric health, and RoCE Ethernet or InfiniBand/UFM fabric monitoring.

Log and trace pipelines and distributed tracing: Loki, Elastic, or Vector, and instrumenting traces across a distributed control plane.

Kubernetes observability: kube-state-metrics, cAdvisor, and GPU Operator metrics, in a multi-cluster environment.

Status-page and incident tooling, MTTA and MTTR instrumentation, and integration with an incident-response and paging workflow.

Building observability within a SOC 2, ISO 27001, or HIPAA compliance posture, including audit-log export.
 

How we work

Small, senior, high-trust teams. We hire people who can own and solve problems end to end and we give them the room to do it.

Code over clicks. The platform is defined, reviewed, and versioned. Manual changes are the exception and they get automated away.

Build it right. We invest in sound architecture and durable design so the platform scales cleanly instead of accumulating debt.

Customers are real. The platform exists to serve customer workloads, and we build to the reliability and self-service standard a hyperscaler-grade cloud implies.

We document. Designs, decisions, and architecture are written down so the team compounds knowledge instead of re-learning it.
 

AI as a force multiplier

We expect our engineers to use AI to move faster and operate at higher leverage, and we build our environment to make that the default rather than an afterthought. We maintain CLAUDE.md and AGENTS.md context files across our repositories, run MCP servers against our operational systems (Jira, NetBox, Checkmk), and use agentic coding tools such as Claude Code directly in our infrastructure and platform workflows.
 

For this role in particular, observability is one of the highest-leverage places to apply AI: anomaly detection, automated incident triage, alert-noise reduction, and AI-assisted root-cause analysis over the telemetry you build. You don’t need to be an AI expert, but you should be eager to fold these tools into how you design and operate observability, and to help us define what an AI-leveraged infrastructure team can do.

What success looks like
 

First 30 days

Ramped on the Cloud v2 architecture, the current observability stack (Prometheus, Checkmk parent and child sites, and the GPU and fabric telemetry), and the lab, and able to navigate the repos and design docs independently.

Shipped your first meaningful contribution to the metrics, alerting, or detection stack with the team’s review.

Aligned with SRE, platform, network, and security on where your work meets theirs and on the highest-value detection gaps to close first.
 

First 90 days

Owning a defined area of the v2 observability layer end to end, from design through delivery (for example the OpenTelemetry instrumentation foundation, the GPU and DCGM metrics pipeline, the alerting and SLO framework, or the tenant-facing dashboards and status page).

Delivered proactive detection for at least one failure class that the platform previously learned about from customers, so our client now detects it first.

Measurably reduced alert noise or improved mean time to detect for a meaningful part of the fleet.
 

First 12 months

The go-to engineer for the hardest observability and detection problems in Cloud v2, trusted across SRE, platform, network, and security, and setting the standards the team instruments by.

Designed and delivered a significant piece of the platform’s observability (proactive detection, tenant-facing observability, or reliability and SLO instrumentation) that raised the whole team’s leverage and moved the platform toward its Gold-grade Monitoring and Reliability bar.

Hi! We’re Applyft, a product IT company building mobile and web solutions for millions of users. Starting our path with Geozilla, we’ve grown into an ecosystem of 6 products. Our portfolio spans across several niches: Family Safety, Parental control and AI Spheres.

We’re looking for a Head of User Acquisition to strengthen our Performance marketing team and drive the global scaling of our products.

You’re a great fit if you have:

• Hands-on expertise across all major paid channels — Google (Search/PPC, UAC/App campaigns, PMax, Demand Gen), Meta (Advantage+, CAPI), TikTok, AppLovin and other ad networks
• Proven ability to run UA on both Web and App
• Experience in mobile subscription apps
• Experience managing teams of 5+ specialists
• Strong technical command of the measurement layer: event setup, attribution logic, MMPs (AppsFlyer), analytics (GA4, Amplitude, BigQuery), GTM/GTG, Enhanced Conversions and CAPI
• iOS privacy-era measurement: SKAdNetwork/SKAN, AdAttributionKit, and consent/privacy frameworks
• Bidding and budget allocation strategy — value-based/tROAS and smart bidding, plus splitting and scaling budget across channels and units
• Incrementality and holdout testing — geo-lift, incrementality tests
• Solid grasp of subscription economics — LTV/pLTV, ROAS/ROI targeting
• Comfortable with data analysis (SQL, cohorts, dashboards)
• Ability to manage large budgets

Will be a plus:

• Track record of building marketing automation or internal tooling
• Comfort using AI tools in marketing/analytics workflow

• Experience owning both technical measurement setup and the team that acts on it

   

What you’ll do:

• Own all paid acquisition across every unit and network (Google, Meta, TikTok, AppLovin, etc.), on both Web and App
• Own the technical marketing setup end to end - events, attribution, MMP, analytics - and keep it reliable
• Lead, mentor and develop the marketing unit team
• Manage budgets and deliver against ROI/ROAS targets

• Partner cross-functionally to unblock measurement, creative and monetization work

   

We offer:

• Remote-First culture: We provide a flexible working schedule and you can work anywhere in the world.
• Health taking care program: We provide Health insurance, mental health support (psychologist compensation), sport compensation, and 20 paid sick days.
• Personal Equipment Policy: We provide all necessary equipment for your work. For Ukrainian employees we also provide Ecoflow.
• Vacation Policy: Each employee in our company has 20 paid vacation days and extra days on the occasion of special events.
• Knowledge sharing: We are glad to share our knowledge and experience in our internal events.
• English Lessons: We provide corporate English lessons to support your professional and personal growth.
• Professional Development: Annual learning budget for courses, training, certifications, and conferences.
• Public Holidays: You receive days off according to the official public holidays of your country of residence.

• Coworking Compensation (Ukraine): We provide coworking space compensation for employees located in Ukraine.

   

Hiring process:
Recruitment Screen 👉Tech interview 👉 Final interview 👉Reference check 👉 Job Offer