Jobs at Djinni

Galaktica — українська продуктова IT-компанія, що з 2019 року створює мобільні застосунки та вебпродукти для ринків Tier-1. У команді 350+ фахівців з провідною експертизою, які працюють з різних куточків світу. Ми розвиваємо міжнародні продукти, експериментуємо з підходами і швидко масштабуємо рішення, які покращують життя мільйонів користувачів.

Важливою складовою бізнесу Galaktica є благодійність. З 2022 року ми спрямували велику кількість волонтерської допомоги в різні напрямки. У першу чергу, підтримка ЗСУ: десятки позашляховиків і комерційних квадрокоптерів, сотні FPV-дронів, НРК з турелями, квадроцикли. Також розвиваємо два благодійні фонди: фокус на реабілітації військових і на підтримці дітей військовослужбовців та постраждалих від війни.

Ми вже маємо суттєві здобутки, але продовжуємо далі активно масштабуватись. У зв’язку з чим ми шукаємо Remarketing Media Buyer, який приєднається до нашої молодої, активної і залученої команди!

• Запускати і вести ремаркетинг-кампанії у Google Ads під різні цілі (ліди / покупки / реєстрації);
• Будувати структури ремаркетингу:
  • “теплі” аудиторії (відвідувачі);
  • “гарячі” аудиторії (додав у кошик / почав форму / переглянув контакт);
  • “повернення” (30–180 днів).
• Проводити сегментування по поведінці:
  • нові vs повернулися;
  • engaged vs bounce;
  • конкретні сторінки / категорії / продукти.
• Налаштовувати/контролювати коректності конверсій:
  • GA4, GTM, імпорт у Google Ads;
  • перевірка дублювань, затримок, якості.
• Постійно оптимізувати:
  • ставки/стратегії (tCPA, tROAS);
  • плейсменти, частота, креативи;
  • виключення нерелевантного трафіку.
• Підготовлювати ТЗ на креативи + контроль ротації (щоб не “вигоряли”);
• Контролювати бюджет + масштабування робочих зв’язок;
• Робити звітність: щотижневі/щомісячні висновки, що зроблено і що планується.

Які навички та критерії нам зараз важливі:

• Маєте досвід роботи від 1 року активного рекламування в Google Ads;

• Маєте досвід роботи з Google Tag Manager;

• Маєте досвід налаштування та оптимізація ремаркетингу;

• Розумієте логіку воронки та сегментації аудиторій;

• Впевнене володієте GA4;

• Маєте досвід оптимізації кампаній під цілі:

  • Max Conversions / tCPA / tROAS

  • контроль частоти, охоплення, CPM, CPA

• Вмієте працювати з метриками ремаркетингу:
        Frequency, Reach, View-through, Assisted conversions, CPA, ROAS

• Маєте досвід коммуникації з маркетингом, продакт менеджерами та розробниками.

Буде великим плюсом, якщо ви:

• Маєте досвід роботи з server-side tracking (Stape / GTM SS / enhanced conversions);

• Вмієте будувати стратегії прогріву та повернення аудиторії (7 / 14 / 30 / 60 / 180 днів);

• Маєте досвід роботи з Looker Studio, GA4, Tableau (дашборди, звітність);

• Розумієте BigQuery (на рівні “підключити та подивитись дані”);

• Маєте досвід оптимізація відео-ремаркетингу (YouTube + відео креативи);

• Маєте досвід роботи з A/B тестами LP або CRO-інструментами (Hotjar / Clarity).

Що ми раді вам запропонувати:

• Формат роботи: обирайте, як вам зручніше — віддалено, гібридно або в офісі в Києві, Львові, Одесі чи на Кіпрі (Ларнака). Усі українські офіси обладнані генераторами зі Starlink і доступні для команди 24/7. Робочий графік — з 10:00 до 18:30;

• Обладнання: надаємо все необхідне для комфортної роботи та для вирішення масштабних завдань, експериментів — ноутбук/ПК/додаткові монітори чи спеціалізовані гаджети;

• Безпека та страховка: ми не лише слідкуємо за рівнем задоволеності співробітників, а й дбаємо про вас у скрутні моменти. Кожен співробітник має медичне страхування за рахунок компанії (на території України) або грошову компенсацію на спорт;

• Відпочинок та баланс: 3 тижні оплачуваної відпустки щороку, необмежені day off та гнучкі sick leaves без зайвої бюрократії. Ми довіряємо команді, тому підтримуємо здоровий баланс між роботою та особистим життям;

• Колеги та атмосфера: люди, які вас оточують, визначають рівень життя та розвиток. Завдяки якісним етапам співбесіди, ми підбираємо найкращих з найкращих. Ви працюватимете зі справжніми професіоналами у своїй сфері;

• Безперервний розвиток: оплачуємо тренінги, семінари, онлайн-курси, конференції. Маємо власну LMS-систему, бібліотеку та книжковий клуб, які об’єднують тих, хто не зупиняється в навчанні. Крім того, у нас є 3 сертифіковані коучи, які проводять внутрішні навчання та персональні коуч-сесії для співробітників — це допомагає краще розуміти себе, прокачувати лідерські навички та досягати професійних цілей;

• Англійська мова: компенсуємо 70% вартості індивідуальних занять та маємо Speaking Club, щоб ви прокачали свою англійську мову та забули про будь-які бар’єри;

• Спортивні активності: долучайтеся до корпоративних тренувань з волейболу, бігу або йоги щотижня, які повністю оплачує компанія. Ми вже пробігли не один марафон, адже наші тренери — справжні професіонали;

• Командний дух: ми регулярно проводимо тімбілдінги від виїзних до затишних зустрічей в офісі. Це чудовий шанс познайомитись ближче й зарядитись енергією команди. Атмосферу наших івентів можна відчути тут — YouTube Galaktica.

🚀 Наша мета
Побудувати продуктову IT екосистему різних напрямків, у якій кожен співробітник матиме можливість відкривати внутрішні стартапи, рости та реалізовувати свої ідеї. Приєднуйтеся!

🔗 Дізнайтесь більше про нас:
🌐 Galaktica — офіційний сайт
📸 Instagram (@galakticateam) — команда та процес зсередини
🎥 Galaktica. Візитівка — відео-візитівка
Будемо раді обговорити всі ваші запитання та запросити вас на перший етап співбесіди!
Наголошуємо, у разі зацікавленості команди у вашій кандидатурі, ми зв’яжемося з вами будь-яким зручним способом для детального обговорення нашої вакансії!

Delivery Manager

We are a boutique software development company working with international clients to build and grow digital products.

We are looking for a Delivery Manager who will own project delivery, client communication, and team coordination. This is not a purely administrative Project Manager role. We need someone who can proactively identify risks, manage expectations, and ensure successful delivery across multiple projects.

Responsibilities

Own end-to-end delivery for assigned projects and clients

Lead client communication, status meetings, and regular reporting

Ensure projects are delivered on time and with expected quality

Coordinate the work of developers, designers.

Identify delivery risks early and drive mitigation plans

Manage scope changes and align expectations with clients

Track project progress, milestones, and release plans

Remove blockers and improve delivery efficiency

Ensure transparency for both clients and internal stakeholders

Contribute to improving delivery processes and operational excellence

Support project onboarding and handover from sales/presales

Requirements

2+ years of experience as a Delivery Manager, Project Manager, or similar role in IT

Strong understanding of the Software Development Lifecycle (SDLC)

Experience working with outsourcing and/or outstaffing projects

Experience managing client relationships and stakeholder communication

Solid understanding of Agile methodologies (Scrum, Kanban)

Hands-on experience with Jira, Confluence, Notion, or similar tools

Ability to manage multiple projects simultaneously

Strong problem-solving and decision-making skills

Upper-Intermediate or higher English level (written and spoken)

Nice to Have

Experience with Upwork as project manager.

Experience in a small or growing software development company

Basic technical understanding of web and mobile development

Experience working with US and European clients

Background in account management or customer success

About the Role

We are not looking for a Jira administrator or a status collector.

We are looking for someone who takes ownership of delivery outcomes, proactively manages risks, aligns teams and clients, and ensures projects move forward predictably and successfully.

We’re looking for a Senior Full Stack Engineer to join a Web3 project.

The project is based on ZK-proof technology (zero-knowledge proofs), enabling decentralized verification of user attributes without directly exposing personal data.

Responsibilities:

• Design, develop, and implement blockchain solutions using Node.js, JavaScript, and TypeScript, following clean code principles
• Collaborate with the team to define project requirements and architecture for blockchain-based applications
• Integrate blockchain functionality into new and existing systems and applications
• Perform code reviews and ensure the quality and security of the developed software
• Develop and maintain tests for components
• Collaborate with other developers and stakeholders to identify and implement improvements.

Professional requirements:

• Strong knowledge of JavaScript/Typescript, with a focus on writing clean, maintainable code
• 3+ years of commercial experience as a full-stack engineer with NodeJS (NestJS)
• Strong understanding of the event loop in Node.js and its implications on application performance and scalability
• 2+ years of commercial experience with ReactJS/Next.js
• Familiarity with asynchronous programming concepts, including Promises and async/await
• Experience with optimizing code performance and addressing blocking and concurrency issues in event-driven systems
• Solid understanding of blockchain technology, cryptographic principles, and decentralized systems
• Experience with viem, ethers.js or similar libraries for interacting with blockchain networks
• Strong problem-solving skills and the ability to troubleshoot complex issues;
• Proficiency in writing unit tests, integration tests, and end-to-end tests for Node.js and blockchain components
• Experience with PostgreSQL databases and query languages (e.g. SQL)
• Familiarity with database design and optimization principles

Will be a plus:

• Experience in designing and maintaining SDKs and public-facing components
• Understanding of, or hands-on experience with, decentralized or multi-party protocols
• Solid understanding of zero-knowledge proofs (ZKPs) and their applications

We offer:

• Competitive compensation
• Social package (24 working days of annual leave, 5 paid sick days)
• Flexible working hours
• Challenging projects in diverse business domains and a variety of tech stacks
• Personal development and professional growth opportunities
• Work with talented, ambitious and family-feel teams
• Educational possibilities: corporate courses, knowledge hubs, and in-house English classes
• Compensation for your professional certification & support for your learning activities
• Opportunity to choose IT equipment you like
• Corporate social responsibility

Design System Lead / Design Ops (Remote)

Our client is looking for a Design System Lead / Design Ops Specialist to help build an AI-friendly design system for an AI-first coaching platform.

This role sits at the intersection of product design, design systems, and AI-assisted prototyping. You will help create reusable UX patterns, scalable components, and structured documentation that improve collaboration between designers, engineers, and AI tools.

Responsibilities

Build and maintain a scalable Figma design system

Define reusable components, variants, tokens, layouts, and interaction patterns

Create clear and AI-friendly documentation for modern AI-assisted workflows

Collaborate with product, UX, and engineering teams to transform product flows into reusable UI patterns

Improve consistency between design and frontend implementation

Support rapid prototyping for dashboards, onboarding flows, feedback systems, and learning experiences

Establish Design Ops processes including naming conventions, governance, QA, versioning, and component adoption

Requirements

4+ years of experience in UI/UX, Product Design, Design Systems, or Design Ops

Strong expertise with Figma: components, variants, auto-layout, variables, design tokens, and prototyping

Experience building or maintaining design systems for complex digital products

Ability to simplify complex product logic into scalable UX patterns

Understanding of design-to-code workflows and collaboration with frontend engineers

Interest in AI-assisted design workflows and modern prototyping tools

English — Upper-Intermediate or higher

Nice to Have

Experience with AI products, gaming, coaching platforms, educational products, analytics systems, or complex dashboards

Familiarity with tools such as Cursor, Claude Code, Figma MCP, v0, Lovable, Framer, Webflow, or Storybook

Basic frontend knowledge (HTML, CSS, React, Tailwind)

Experience creating structured documentation for both humans and AI systems

Interest in strategy games or skill-based products

What Success Looks Like

A clean, scalable, AI-friendly design system

Faster feature prototyping without losing consistency

Improved design-to-development collaboration

AI-assisted tools generating outputs aligned with product patterns and UI logic

Conditions

Remote

Flexible collaboration

Long-term product opportunity

Iterasec works with clients worldwide, helping them find vulnerabilities and secure their products. Our projects range from mobile/web applications to complex modern cloud and automotive stacks. We work with both small product companies as well as Fortune 500 enterprises.

We are looking for a talented and motivated Junior Pentester who will join our security team to work on penetration testing and vulnerability/cloud security assessment projects.

We expect a short motivation letter where you can explain your skills, achievements and motivation.

Required skills

- Solid non-commercial cybersecurity experience, such as HTB/THM

- Junior-level cybersecurity certifications would be a plus.

- Comfortable with basic application security testing and common vulnerabilities (like OWASP Top 10, CWE Top 25) and cybersecurity fundamentals

- Strong basic IT skills: Linux, networking (TCP/IP, DNS, HTTP etc.)

- Some experience in scripting/coding languages, such as Java, JS, Python, Shell, etc.

- Strong drive to learn and develop cybersecurity skills

- Technical English (Intermediate)

We offer

- Good salary + bonus system

- Rewarding environment: brilliant team ready to share knowledge and collaborate

- Support in obtaining professional certifications, such as BSCP, OSCP, eWPTX, cloud certifications, etc.

- Courses and conferences which are relevant to the position are sponsored by the company.

- We are a remote-first company with full WFH support and a flexible work schedule.

Responsibilities

- Execute penetration tests and security assessments as part of a team, including internal/external networks, web and mobile applications, Windows and Linux environments, cloud architectures, IoT devices, and more

- Create assessment documentation and reports, clearly identifying vulnerabilities and associated remediation steps

- Conduct security research

Iterasec works with clients worldwide, helping them find vulnerabilities and secure their products. Our projects range from mobile/web applications to complex modern cloud and automotive stacks. We work with both small product companies as well as Fortune 500 enterprises.

We are looking for a Middle/Senior Security Consultant / Penetration tester to work on and lead penetration testing and vulnerability/cloud security assessment projects.

In this role, you will work on technically challenging projects and also spend some time leading/mentoring our junior pentesting colleagues.

Required skills

- 1.5+ years of intensive commercial experience

- OSCP, eWPTx2 or similar would be a plus

- Scripting/coding skills and being comfortable with advanced pentesting tooling

- Strong knowledge of mobile/web security

- Comfortable with cloud and container security

- Basic RE skills

- Ability to mentor/lead colleagues

- Strong ability and drive to learn and develop cybersecurity skills

- Technical English (Intermediate+)

We offer

- Good salary + bonus system

- Diverse project portfolio and technologies to work with

- Rewarding environment: brilliant team ready to share knowledge and collaborate

- Courses and conferences which are relevant to the position are sponsored by the company.

- We are a remote-first company with full WFH support and a flexible work schedule.

Responsibilities

- Participate in various pentesting projects

- Lead junior colleagues

- Perform threat modeling in pentesting and security assessment projects

- Create assessment documentation and reports, clearly identifying vulnerabilities and associated remediation steps

- Consult clients on efficient issues remediation

- Conduct security researches

- Develop tools and scripts to automate and improve current pentesting processes

Diya (70+ employees) is currently seeking to hire Recruitment Specialist for a full-time position for our Zhytomyr office. Remote work possible, however permanent residence in Zhytomyr is required.

The company is actively growing, so there is a need to expand the HR team. You will deal with both technical and non-technical vacancies. The recruiter will work closely with HR and report to the company’s management.

Responsibilities for the role:

• Providing a full recruitment cycle — making sure that the job posts are posted on all the job boards used by the company; 
• Candidates pre-selection and pre-interview; 
• Scheduling the technical interviews; 
• Approving and sending out the job offers;
• Ensuring effective communication with hiring managers;
• Analysing and optimisation of the recruitment process.

Qualifications:

• 1+ year of recruitment experience
• Understanding of the specifics of the IT market
• Proficient knowledge of candidate search tools (LinkedIn, Djinni, work.ua, robota.ua, Happy Monday and other resources; social networks)
• Excellent communication and interpersonal skills
• Self-motivated, punctual, quick-thinking, creative and proactive
• Ability to learn and adopt new technologies
• Ability to multitask and perform under pressure
• Upper-intermediate level of English (both spoken and written)

What we offer:

• Comfortable work environment.
• We provide full support and sponsorship for obtaining professional certification (taking courses and additional training).
• We provide a corporate English tutor to help you level up your communication skills for international projects.
• Comprehensive healthcare insurance and gym membership compensation.
• Access to professional psychological consultations to support your well-being.
• Paid vacation and sick leave.
• Real career opportunities, paid training.

We are looking for an AI-driven Full Stack Developer to join our team building next-generation healthcare infrastructure.
 

You’ll work on products focused on credentialing, compliance, staffing, provider workflows, and operational automation. We move fast, ship often, and use AI deeply across engineering and product workflows.

This is not a traditional engineering role. We are looking for builders with strong product thinking, ownership mentality, and experience working with modern AI tooling.
 

What we’re building

• AI-powered credentialing workflows
• Provider identity and compliance infrastructure
• Healthcare staffing and hiring tools
• Facility workflow systems
• Secure access and document management
• Intelligent automation for healthcare organizations
   

What you'll do

• Build full stack applications using PHP/Laravel and React/TypeScript
• Design scalable REST APIs and backend services
• Develop modern frontend architecture and reusable UI components
• Work with PostgreSQL and scalable data models
• Build asynchronous workflows using AWS SQS, RabbitMQ, or Kafka
• Contribute to AI-native automation and workflow systems
• Collaborate closely with product, design, and engineering
• Participate in architecture and technical decision-making
• Own features end-to-end, from idea to production
• Write clean, maintainable, production-ready code
• Help improve engineering standards and platform scalability
• Building crawlers or data-scraping workers using various techniques and approaches.
   

What we’re looking for

• 4+ years of full stack development experience
• Strong PHP and Laravel experience
• Strong React and TypeScript experience
• Experience building and integrating REST APIs
• Solid PostgreSQL knowledge
• Experience with asynchronous systems and queues
• Strong understanding of scalable architecture
• Comfortable working in fast-moving startup environments
• Strong ownership mentality and proactive mindset
• Product thinking, not just implementation skills
• Ability to move fast, learn quickly, and adapt constantly
• Strong problem-solving and communication skills
• English level B2+

We actively use Claude and AI-assisted engineering workflows every day. This is a core part of our development culture.

AI tools already cover much of routine engineering work. We are looking for engineers who can think critically, make product decisions, improve systems, and drive execution.

You should already have experience with:

• AI-assisted development
• agentic workflows
• AI-driven debugging and architecture
• rapid iteration using modern AI tools

Responsibilities may also include:

• designing UI components and product flows using AI tools
• improving UX and feature usability
• taking full ownership of features and delivery
   

Nice to have

• Experience with AWS infrastructure
• Experience with Python
• Experience building AI-enabled products
• Frontend performance optimization
• Experience with testing frameworks
• Understanding of accessibility and modern UI/UX practices
   

Why join us?

• Build technology that solves real healthcare problems
• Work on an AI-first platform with ambitious vision
• Influence architecture and product direction
• Work with a strong, mission-driven team
• Remote-friendly and flexible culture
• Opportunity to grow with a fast-scaling company

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
We develop a unified, AI-driven cybersecurity platform that helps organizations detect, prevent, investigate, and respond to cyber threats. The platform combines endpoint, network, cloud, email, and identity protection in a single solution, supported by automation and a 24/7 MDR service. A core part of the platform is its Windows endpoint protection technology, deployed on nearly one million devices worldwide.

About the Role
As a Windows Kernel Developer, you will develop and maintain kernel-mode drivers and low-level system components that power our endpoint protection technology. You will work closely with Product and Research teams to deliver new security capabilities, improve system performance and reliability, and contribute to a large-scale cybersecurity product.

Key Responsibilities:

• Design and develop protection modules for the XDR platform.
• Implement, test, and maintain kernel-mode drivers and user-mode infrastructure in modern C++.
• Build and enhance security features for the Windows endpoint protection product.
• Collaborate with Product and Research teams to deliver new detection and prevention capabilities.
• Investigate, debug, and resolve complex low-level system issues.

• Contribute to technical design documents and development best practices.

   

Required Competence and Skills:

• 2–3 years of experience in system programming and low-level development in Windows environments using C++17 (or newer).
• At least 1 year of commercial experience with Windows kernel driver development.
• Good understanding of Windows internals and kernel.
• Experience with Windows debugging tools such as WinDbg.
• Experience with at least one of the following: KMDF, File System Minifilters, Registry Callbacks, or WFP Callouts.
• Strong problem-solving and troubleshooting skills.
• Good communication skills and ability to work effectively in a team environment.

• Good English communication skills, both written and spoken.

   

Nice to Have:

• Experience developing security, endpoint protection, or threat detection products.

   

Why Us:

• We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).
• We provide full accounting and legal support in all countries we operate.
• We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.
• We offer a highly competitive package with yearly performance and compensation reviews.

We're a boutique Shopify agency based in Oldenburg, Germany. 10–12 people. No bureaucracy, no approval layers. We work with eCommerce businesses turning multiple millions of euros per year — and we're growing fast while the market figures out what's next.

If you want to actually work hard, own your projects, and build real skills — not just fill a seat — read on.

WHY SKALUM

We're small. That's the point.

Small means you're visible from day one. Small means no intern purgatory. Small means when you take ownership, people notice — and you grow.

We're Shopify-only. Not SEO in general — Shopify SEO architecture. Narrow focus means deep expertise, premium clients, and work that actually matters.

The market is shifting fast right now. Big agencies are losing agility. AI is rewriting the rules. We're not waiting — we're already embedding automation, GEO, and AI-driven workflows into everything we do. We're the team that will come out ahead.

WHAT YOU'LL DO

• Run technical and content SEO audits under senior guidance
• Support SEO strategy rollouts for Shopify clients in US and EU markets
• Work daily with Ahrefs, Screaming Frog, and Google Search Console
• Analyze competitors and support SEO plan execution
• Implement AI tools into daily workflows
• Manage 2–4 projects simultaneously

WHAT WE'RE LOOKING FOR
 

• 1–2 years in SEO (agency or in-house)
• Solid grasp of technical SEO fundamentals
• Hands-on experience with GSC and SEO tools
• Genuine curiosity about marketing, strategy, and analytics
• Willingness to experiment, take ownership, and ask hard questions
• Working-level English

WHAT YOU GET

• 20 days paid vacation
• Paid courses: SEO, Shopify, AI tools
• English or German lessons covered by the company
• International Shopify projects across real markets
• Fully remote
• Fast track to senior if you deliver

Send your CV and a few lines about yourself. You don't need a perfect resume — you need a sharp mind and the drive to get better. We reply to everyone.

Product Manager (SDK Monetization)

Location: Poland
Interview Process: Approximately 4–5 interview stages

About the Role

We are seeking a Product Manager to lead the strategy, development, and growth of our SDK Monetization product. This role will be responsible for defining and executing the product roadmap while collaborating with cross-functional teams across multiple regions.
 

The ideal candidate has experience in AdTech, mobile monetization, and AI-powered products, with a strong understanding of the programmatic advertising ecosystem and mobile SDKs.

Key Responsibilities

• Own and drive the SDK Monetization product roadmap.
• Define product vision, strategy, and priorities aligned with business objectives.
• Lead both inbound and outbound product initiatives.
• Gather and prioritize product requirements from internal and external stakeholders.
• Work closely with engineering, data, business, and commercial teams to deliver high-impact product features.
• Analyze product performance and identify opportunities for optimization and growth.
• Collaborate with global teams to ensure successful product delivery and market adoption.
• Stay up to date with industry trends, emerging technologies, and competitive developments within the AdTech and AI landscape.

Requirements

• Proven experience as a Product Manager, preferably within AdTech, MarTech, Mobile, or related technology sectors.
• Strong understanding of the programmatic advertising ecosystem.
• Experience working with mobile SDKs and monetization products.
• Exposure to AI-driven products, tools, or technologies.
• Experience managing end-to-end product lifecycle, from discovery through launch and optimization.
• Strong analytical and data-driven decision-making skills.
• Excellent stakeholder management and communication skills.
• Ability to work effectively within distributed international teams.

Nice to Have

• Experience with mobile advertising technologies and monetization platforms.
• Background in performance advertising, mediation, bidding, or related AdTech solutions.
• Experience working in high-growth technology companies or startups.
• Technical understanding of SDK architecture and integrations.

Team & Environment

• Global product team distributed across the United States and Israel.
• Product leadership and core product organization are primarily based in Israel.
• Strategic initiative to expand the product organization in Europe, with the first Product Manager position being established in Poland.

About the Client

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we're rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We're small, senior, and moving fast. The people who do well here own problems end-to-end and make decisions with incomplete information.
 

The role

We're hiring a Senior Manager, Platform Engineering to lead the team that keeps our GPU

clusters running and evolving. You'll own the operational heartbeat of Company's cloud platform, the people, the systems, and the practices that turn racks of GPUs into reliable customer-facing infrastructure.

This is a hands-on leadership role. You'll start roughly 50/50 between technical work and management as you ramp up, earn context, and build trust with the team, and scale toward 80/20 management over your first 12 months as the team grows and your direct reports take on more. We're not looking for a manager who has forgotten how to read a stack trace, and we're not looking for a senior IC with a team tacked on. We're looking for someone who leads by setting technical direction, raising the bar on operational rigor, and growing engineers, and who can still jump into an incident bridge and be useful.
 

What you'll own

• A team of ~9 engineers spanning production engineering, SRE, security, and

automation.

• The reliability, performance, and operability of Client's GPU cloud platform across

multiple clusters and customers

• Incident response and post-incident culture, you'll set the standard for how we

investigate, communicate, and learn from outages

• Operational readiness for new clusters and data center buildouts, in close partnership

with our DC Build, Networking, and Program Management functions

• Platform automation and infrastructure-as-code maturity, reducing toil, codifying tribal

knowledge, and making our environment legible to both engineers and AI tooling

• Hiring, coaching, and career development for the team, including an anticipated split of the team into specialized functions as we scale
   

What we're looking for

Required

• 8+ years of infrastructure, production engineering, or SRE experience, including 3+

years managing or tech-leading engineers

• Deep hands-on experience with Linux production systems at scale, you've debugged

kernel, networking, and storage issues in anger, not just read about them

• Strong Kubernetes operational experience, you understand what breaks in Kubernetes

at scale and why, not just how to write a deployment manifest

• Experience running cloud or cloud-adjacent platforms in production, IaaS, bare-metal, or hybrid, with real customers depending on uptime
• Fluency with modern automation and IaC tooling (Ansible, Terraform, or equivalent) and a bias toward codifying operational knowledge rather than keeping it in people's heads
• Track record of building and running on-call, incident response, and post-mortem

practices that engineers actually trust

• Clear, direct written communication, much of our team and work is async
  
   

Strongly preferred

• Experience operating GPU or HPC infrastructure, or a strong appetite to go deep on it

quickly

• OpenStack, or bare-metal provisioning experience
• Experience working alongside networking and security engineers as peers, not as tickets to file
• Familiarity with observability stacks (Prometheus, Grafana, Checkmk, or similar) and a

point of view on what good monitoring looks like

• Experience scaling a team through rapid growth, splitting functions, hiring against a plan, and evolving reporting structures without breaking trust
   

How we work

• We're remote-first across US, LATAM, and EU time zones
• We write things down, decisions, architecture, runbooks, post-mortems
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it
• We ship, we debug, we iterate. We don't process-engineer our way around problems that need to be solved
   

AI as a force multiplier

We're making a deliberate bet that AI changes the shape of infrastructure teams. Our plan is to scale our platform faster than we scale headcount, using AI-powered development tools to build and refactor automation, AI-assisted testing and validation to improve reliability, and LLM-driven workflows to accelerate investigation, documentation, and operational review.

We're already applying these approaches in production and actively working to turn institutional knowledge into AI-accessible systems that improve operational efficiency and decision-making.
We want a leader who is genuinely excited about this, not someone who tolerates AI tooling because it's in the JD, but someone who will drive it. That means:

• Setting the expectation on the team that AI-assisted workflows are the default, not the exception
• Identifying where agents can own meaningful slices of work, writing playbooks,

generating tests, validating configurations, triaging alerts, drafting RCAs

• Building the substrate the team needs: good documentation, clear schemas, MCP

integrations, and the kind of structured knowledge that makes AI actually useful rather

than a gimmick

• Measuring what's working, killing what isn't, and being honest with the team and with

leadership about both

If your reaction to this is "finally, a team that's serious about this," we should talk.
 

What success looks like

First 30 days: You've built 1:1 relationships with every member of the team, shadowed enough incidents and customer escalations to have a real picture of where we are, and identified the two or three operational patterns most worth changing.

First 90 days: You're the owner of our incident and post-mortem practice. You've onboarded two new senior hires (SRE and Security Engineer) and set clear expectations for their first deliverables. You've made at least one meaningful call on platform architecture or operational tooling that the team agrees was the right one.

First 12 months: The team is measurably more effective, fewer repeat incidents, faster time to resolution, more work automated away. You've hired at least one additional engineer, coached at least one existing team member into a stretch role, and established Platform Engineering as a function that other teams at Company want to work with.

About the Client

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. We operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and we’re rapidly expanding. Our infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

We’re small, senior, and moving fast. The people who do well here own problems end-to-end and make decisions with incomplete information.
 

The role

Security is a core part of who we are and how we operate. We’re hiring a Senior Production Security Engineer to help strengthen and scale our security capabilities.

This is not a compliance-focused role, and it is not purely advisory. We are looking for a hands-on senior engineer who can identify high-risk gaps and opportunities, partner with engineering and leadership teams to design effective solutions, and implement those solutions through code, automation, and tooling. In addition to security-focused initiatives, this person will contribute meaningfully to broader infrastructure, platform, and production engineering efforts.
Beyond the technical responsibilities, this role plays a key part in fostering a security-first engineering culture. You will advocate for best practices, educate teams, and help raise the security bar across the organization. This is an opportunity to shape the future of our security function and become a foundational leader as it continues to grow.
 

What this role is, and is not

This role is:

• A senior engineer who drives the core of a security focus.
• A self-directed practitioner who identifies security weaknesses, opportunities to level up, prioritizes them, and builds a credible roadmap.
• A cross-functional partner who works with infrastructure, platform, cloud, and leadership to recommend action and architect solutions.
• A builder who implements solutions in software, tooling, and infrastructure, not just slides and policies.
• A reviewer and advisor who partners with developers and teams on proposed projects from a security perspective.
• A versatile contributor who still gets meaningful work done in other engineering domains.

This role is not:

• A regulatory or legal compliance role. Compliance evidence will be a byproduct of good engineering, not the job itself.
• An audit-and-recommend-only role. We need someone who builds what they recommend.
   

What you’ll work on

The scope below outlines where this role will harden, automate, and validate Client’s security posture across our infrastructure, platform and customer facing surfaces.  We expect the person in this role to refine priorities based on what they learn in their first weeks.
 

Internal tools, services, and applications that harden our security posture

• Proper network segmentation best practices across tenants, management, and customer planes.
• SSH and system access management architecture
• Multi-tier secret storage for both internal users and customers.
• User account management and lifecycle policy for core systems (joiners, movers, leavers done right).
• Secret rotation pathways for core internal systems, automated, auditable, and not reliant on tribal memory.
• x509 certificate issuing architecture, an internal PKI we can actually operate and rotate.
   

Security-focused monitoring, alerting, and auditing

• Multi-redundancy Vault admin logging.
• GCP access and action logging with real retention and alerting.
• Automatic alerting and reporting from log aggregation pipelines.
• Network traffic analysis and reporting, feeding off our existing fabric telemetry.
• Security-focused dashboards that are actually used, not just built.
   

Customer-facing secret and identity management

As our cloud offering matures, this role helps define the customer-side story:

• KMS architecture and options.
• Encryption strategy, at rest, in transit, and tenant-scoped.
• Security reporting surfaces for customers.
• Customer login, identity, and account management for the cloud platform.
   

Review of what we already have

• Own and drive third-party penetration tests and red team engagements.
• Lead a full design and architecture review of our current stack and document the risk landscape.
• Translate findings into a prioritized, resourced remediation plan.
   

Clear policies and partnerships around third-party code

• Own the liability model, or make the deliberate decision to pay someone else to.
• Processes and tooling for third-party software review, and dependency risk.
• A “happy path” for engineers, the easy, supported way to pull in third-party code safely.
   

What we’re looking for

Required

• 7+ years of hands-on engineering experience, with a substantial portion focused on security in production environments.
• Demonstrated experience designing and operating in multi-tenant, tenant-isolated environments, cloud, neocloud, hosting, or regulated enterprise.
• Deep, practical familiarity with secrets management (HashiCorp Vault or equivalent), PKI, and identity systems (Okta, Google Workspace, or similar).
• Strong Linux and OS fundamentals, you understand what is actually happening on the box, not just what the tool reports.
• Working fluency in networking and network security: firewalls, segmentation, VPN, BGP at a conceptual level, and modern L3/L4 controls.
• Experience with at least one of: Kubernetes security (admission control, network policy, workload identity), cloud IAM at depth (GCP, AWS, or Azure), or infrastructure-as-code security review.
• CI/CD automation design and implementation experience, enough to build the paved road yourself when needed.
• Experience driving or responding to a third-party audit, penetration test, or customer-led security review.

• Clear, direct written communication, much of our team and work is async.

   

Strongly preferred

• Experience being the first or one of the first dedicated security hires at a company, and building a function from there.
• Experience in GPU cluster, HPC, or AI infrastructure environments.
• Familiarity with InfiniBand, RoCE, or other high-performance fabrics from a security and segmentation perspective.
• Experience with SOC 2, ISO 27001, HIPAA, or similar frameworks, enough to know what auditors actually care about, without being a compliance specialist.
• Experience supporting sensitive customer workloads (regulated industries, government, frontier AI labs).

How we work

• We’re remote-first across US, LATAM, and EU time zones.
• We write things down, decisions, architecture, runbooks, post-mortems, threat models.
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it.
• We ship, we debug, we iterate. We don’t process-engineer our way around problems that need to be solved.

AI as a force multiplier

We’re making a deliberate bet that AI changes the shape of infrastructure and security teams. Our plan is to scale Client's platform faster than we scale headcount, using coding agents to write and refactor automation, AI-assisted testing and validation to harden our changes, and LLM-driven tooling to compress the work of investigation, documentation, and operational review. We’re already doing this in production: Claude Code for SRE operations, MCP servers exposing Jira, NetBox, and Checkmk, and an active effort to turn tribal infrastructure knowledge into AI-consumable formats.

For security specifically, we want someone who is excited about this, not someone who tolerates AI tooling because it’s in the JD. That means:

• Using AI-assisted workflows as the default for tasks like log review, config audit, threat modeling support, and policy drafting.
• Identifying where agents can own meaningful slices of security work, triaging alerts, drafting RCAs, generating and validating hardening configurations, reviewing pull requests for security-relevant changes.
• Building the substrate the team needs to make AI actually useful, good documentation, clear schemas, MCP integrations, and structured knowledge about our environment.
• Being honest about where AI is adding value and where it isn’t, with the team and with leadership.

If your reaction to this is “finally, a team that’s serious about this,” we should talk.

What success looks like

First 30 days: You’ve built working relationships with the infrastructure, platform, network, and cloud teams, shadowed enough of our production environment to understand where real risk sits, and produced a draft of our top security issues ranked by impact and effort.

First 90 days: You own a credible, prioritized security risk register that leadership and engineering actually use in planning. You’ve made at least one meaningful architectural call, on access, secrets, or identity, that the team agrees was the right one. Shared admin-scoped SSH keys and shared or weak passwords on critical systems have a concrete plan and timeline to be eliminated.

First 12 months: A functioning internal PKI and secret rotation story is in place for core systems. Security-relevant logging, alerting, and dashboards cover our highest-value systems with an on-call path that works. A third-party penetration test has been executed and findings have a remediation plan with owners and dates. Engineering teams have a clear, low-friction path for third-party code and for new service design reviews. You and leadership have a shared point of view on what the next hire into the security function looks like, and whether this becomes a team, a CSO search, or both.

Benefits:

• Unlimited Paid Time Off (PTO)
• Zero-cost employer-covered health insurance
• Company-funded 401k contributions
• Transparent, candid culture with 1:1 coaching, performance reviews, and a consistent feedback loop
• Diverse, respectful, high-performing coworkers you’ll want to achieve greatness with!  

Description

About the Client

Our client is a neocloud purpose-built for AI workloads. We design, deploy, and operate GPU clusters at scale, bare-metal compute, high-performance networking (NVLink, InfiniBand, RoCE), and the software platforms that make them usable for training and inference customers. We move fast, we own our infrastructure end-to-end, and we are building the operational foundation for the next generation of AI compute.

The Role

We are hiring a Principal Production Operations Engineer to serve as part of the senior technical backbone of how we run production. This is a generalist role. You will operate horizontally across systems administration, DevOps, SRE, automation, platform engineering, and vertically from hands-on incident command to multi-quarter architectural strategy and execution.

This is not a people-manager role. It is a senior individual contributor role with org-wide technical influence. You will help set the standards that the rest of the operations org follows, lead the hardest incidents, design the automation and platform investments that determine how we scale, and raise the bar for every engineer around you. We expect you to have already done this work somewhere else, owned production at scale, survived the outages, built the systems that prevented the next ones, and mentored the engineers who now run them.

You will work alongside our network architects, platform engineers, and datacenter delivery team. You will be expected to have strong opinions, defend them with data, and change your mind when the evidence says you should.

What you'll own

Production infrastructure and reliability

• End-to-end ownership of reliability, performance, and operational health across the company's production infrastructure, bare-metal GPU clusters, OpenStack, Kubernetes, storage, and the networking and security layers underneath.
• Technical leadership during major incidents: incident command, root cause analysis, and the durable fixes that ensure the same class of failure does not recur.
• Architectural decisions for how we scale compute, storage, and networking across

multiple datacenters and cluster generations.

• Lifecycle workflows for bare-metal provisioning, node onboarding, decommissioning,

firmware management, and fleet-wide remediation.

• Capacity planning, performance engineering, and the operational readiness reviews that gate new clusters into production.
   

Automation and platform engineering

• Set the bar for infrastructure-as-code, configuration management, and operational

tooling across the org. Define the patterns; do not just follow them.

• Design and build the automation that eliminates classes of toil, deployment, scaling,

failover, provisioning, firmware, observability, security posture.

• Own the CI/CD, GitOps, and release engineering primitives that production runs on. Make them boring, reliable, and self-service.
• Choose the right tools and frameworks (Terraform, Ansible, Helm, Python, Go, Bash) for the problem in front of us, and know when to build versus buy versus avoid.
• Drive the AI-assisted operations strategy, agentic runbooks, MCP-integrated tooling, and the workflows that let a small team operate a very large fleet.
   

Observability and operational discipline

• Evolve the observability stack (OpenTelemetry, Prometheus, Grafana, Alertmanager,

Loki, Checkmk) into a platform engineers trust.

• Define what good looks like for instrumentation, SLOs, alerting, and on-call hygiene.

Drive the org toward signal over noise.

• Lead post-incident reviews. Translate findings into concrete engineering work, not action items that die in a doc.
• Participate in the on-call rotation.
   

Technical leadership and force multiplication

• Mentor senior and mid-level engineers. Raise the technical ceiling of the team without

becoming the bottleneck.

• Write the design docs, the runbooks, and the standards that the rest of the org builds on.
• Prioritize engineering effort against real operational risk. Say no to the work that does

not matter; say yes loudly to the work that does.

• Partner with the leadership on org-level technical strategy.
• Represent operations in customer-facing technical conversations when the situation calls for it.
   

What we're looking for

Required

• 10+ years in Operations, DevOps, SRE, Production Engineering, or Infrastructure

Engineering, with significant time at the senior or staff level.

• Deep Linux internals knowledge.
• Proven track record owning production systems end-to-end at scale, not just

participating in operations, but defining how operations work.

• Strong programming and automation skills in at least one of Python, Go, or similar. Bash fluency is assumed.
• Hands-on expertise with Terraform, Ansible, or equivalent configuration management at scale.
• Hands-on expertise with modern observability stacks (Prometheus, Grafana, Loki,

OpenTelemetry) instrumentation, SLO definition, alert design, and reducing alert fatigue.

• Networking depth well beyond fundamentals: routing, NAT, conntrack behavior, load

balancing, DNS, TLS, and the ability to troubleshoot when needed.

• Experience leading incident response and post-incident review for high-severity

production events.

• Track record of mentoring engineers and elevating the technical standards of a team or org.
• Comfortable working in ambiguity. You build a structure where there is none and do not

wait to be told what to do.
 

Strongly preferred

• Production OpenStack experience, particularly Ironic, Nova, Neutron, and the

operational realities of bare-metal provisioning at scale.

• Kubernetes at scale, including GPU-aware workloads, operators, and the failure modes of CNI, CSI, and the control plane.
• GPU compute or AI infrastructure experience, NVIDIA driver and Fabric Manager

troubleshooting, NCCL, InfiniBand or NVLink fabrics, CUDA version management across

fleets.

• Hardware-aware operations: firmware management, BMC/Redfish automation, BIOS

configuration at fleet scale, and the operational discipline that goes with bare metal.

• Startup or scale-up experience. You know what it feels like to build the second version of everything because the first one was duct tape.
• Experience integrating AI-assisted tooling (Claude Code, agentic workflows, MCP

servers) into production operations.
 

How we work

• We are remote-first. We rely on written communication, async-by-default decision

making, and high-bandwidth pairing when it matters.

• We own our infrastructure. We do not hand off problems to vendors and wait. We

diagnose, we fix, and we write down what we learned.

• We use AI as a force multiplier, not as a replacement for engineering judgment, and not

as a novelty. We expect every engineer to be fluent with it.

• We participate in a 24/7 on-call rotation. Principal engineers are also an escalation point when the rest of the rotation needs help.
  
   

AI as a Force Multiplier

Operations is built on the assumption that a small, senior team augmented with AI can outperform a much larger traditional ops org. We expect you to use Claude Code, MCP-integrated tooling, and agentic workflows as core parts of how you investigate, automate, and document. If you have not used these tools in production yet, you should be hungry to. If you have, you should be ready to help define how the rest of the team uses them.

What success looks like

First 30 days

• Onboarded into all production systems, and the active incident backlog. You know where the bodies are buried.
• Shadowed an incident, and contributed at least one durable fix to a recurring operational issue.
• Identified the top three operational risks you would prioritize in the next quarter and started building consensus on them.

First 90 days

• Owning at least one major reliability or automation initiative end-to-end, with measurable impact (toil reduction, MTTR improvement, or reliability gain).
• Driving meaningful improvements to incident response, observability, or platform tooling that the rest of the org has adopted.
• Actively mentoring at least one mid-level or senior engineer.

First 12 months

• Recognized across the company as a technical authority on production operations. Architecture decisions of any significance include you.
• Shipped at least one platform-level investment (automation, observability, or lifecycle) that has materially changed how we operate.
• Raised the operational maturity of the org by a visible step, measured in incident frequency, MTTR, toil, and engineer quality of life.
• Influenced the hiring bar and the technical direction of operations beyond your own scope of work

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
Our client is a global Solution Integrator specializing in enterprise-grade infrastructure, platform engineering, and cloud-native architectures. They partner with the world's leading technology vendors to help organizations design and implement transformative solutions that drive innovation, efficiency, and growth. 
 

Office location: Vilnius (hybrid format, office visit 1-2 times a week)

About the role: 
We are looking for a Full Stack Engineer to join the CTO Office and take ownership of our client’s product development lifecycle. You'll work hand-in-hand with the CTO Office team, taking initiatives that have been validated as POCs and leading them into production-grade, scalable solutions.

Responsibilities:
- Take validated POCs from the CTO Office and architect, build, and ship them as production-ready applications
- Design and develop full-stack solutions — modern frontends paired with robust, scalable backends
- Build and deploy within the AWS ecosystem (Lambda, ECS/EKS, DynamoDB, S3, RDS, API Gateway, CDK/CloudFormation, and more)
- Own the CI/CD pipeline — design, build, and maintain automated workflows using GitHub Actions
- Design and build internal agentic AI solutions using LangChain and LangGraph — from multi-step agent orchestration to RAG pipelines and tool-augmented workflows
- Leverage Agentic IDE tools (Cursor, Claude Code, and similar) as a core part of your development workflow, applying best practices around skills, MCPs, agents, and prompt engineering to accelerate delivery
- Collaborate closely with the CTO Office, product stakeholders, sales, and pre-sales teams to translate business needs into elegant technical solutions 
- Make pragmatic technology decisions that balance speed, quality, and maintainability

Requirements:
Must-Have:
- 5+ years of professional full-stack development experience
- Frontend: Strong proficiency with Vue.js or React (with modern tooling such as Nuxt/Next.js, TypeScript, Vite, Tailwind CSS)
- A builder's mindset — you thrive on taking something from prototype to production
- Understanding of system design principles — you can architect scalable, reliable distributed systems and make sound trade-offs
- Grasp of data structures and design patterns — to work alongside your Agentic IDE you write efficient, well-structured code
- Backend: Solid experience with Python and modern frameworks — primarily FastAPI, or Django/Flask
- Hands-on experience with the AWS cloud ecosystem — you've built and deployed real workloads on AWS
- Hands-on experience building agentic AI systems with LangChain and LangGraph — including multi-agent orchestration, tool use, and RAG patterns
- Proven experience designing and maintaining CI/CD pipelines with GitHub Actions including automated PR based Code Reviews.
- Working knowledge of Agentic IDEs and AI-assisted development (Cursor, Claude Code, Windsurf, or similar) — including familiarity with skills, MCP servers, agents, and AI-driven development best practices
- Strong understanding of RESTful API design, relational and NoSQL databases, and cloud-native architecture patterns

Nice-to-Have:
- Experience with Amazon Bedrock and/or Azure AI Foundry for building and deploying AI/ML solutions on managed cloud platforms
- Experience with Infrastructure as Code (AWS CDK, Terraform, CloudFormation)
- Experience in security infrastructure (IDP, authentication protocols - S) and writing secured applications 
- Security & Identity - understanding of application security, including SSL/TLS certificates, secret management, and identity providers (IDP). Experience implementing authentication and authorization protocols such as SAML, OAuth2, and JWT.
- Foundational SRE knowledge, including monitoring, logging, and observability (e.g., CloudWatch, Prometheus, ELK) to ensure production stability and performance.
- Familiarity with FinOps concepts, cloud cost management, or multi-cloud environments
- Experience building data-driven tools — predictive models, analytics dashboards, or recommendation engines
- Exposure to Azure services alongside AWS
- Experience with containerization and orchestration (Docker, Kubernetes)
- Background in B2B SaaS or enterprise software development