Jobs Engineering Manager

N-iX is looking for a Lead Azure DevOps.
The Cloud Engineer role focuses on the design, implementation, and maintenance of an Azure-based cloud infrastructure. This infrastructure is critical for powering connected safety systems, handling secure data ingestion from mobile and embedded devices, and managing scalable storage for telemetry and crash data. The position involves providing reliable notification services for emergency contacts and collaborating with mobile, embedded, and algorithm teams to ensure robust integrations. Additionally, the role supports the deployment of machine learning models for crash detection while maintaining alignment with cybersecurity and data privacy standards.

Responsibilities:

• Architecture & Design: Design and implement scalable Azure cloud architecture for telemetry ingestion, user data management, and crash event processing
• API Development: Develop and maintain RESTful APIs for the integration of mobile apps and BLE-enabled devices
• Database Management: Optimize database design and performance to ensure scalability for telemetry and event workloads
• Notification Workflows: Build and manage SMS, email, and push notification workflows triggered by crash events
• ML Support: Support the deployment and versioning of machine learning models used for crash detection
• Automation & DevOps: Implement CI/CD pipelines for cloud services and infrastructure using Azure DevOps
• Optimization: Monitor and optimize cloud resource usage, costs, and overall performance to ensure system reliability under real-world conditions
• Compliance: Implement infrastructure and workflows that align with cybersecurity and data privacy standards, such as GDPR and ISO/IEC 27001

Requirements:

• Experience: At least 5 years of experience in cloud engineering, with a preference for Microsoft Azure
• Technical Knowledge: Strong understanding of cloud-native services, serverless architecture, API development, and data pipelines
• Security & Compliance: Familiarity with security best practices, including encryption, identity management, and regulatory compliance
• Scripting & Automation: Proficiency in scripting and automation tools such as PowerShell, Python, Terraform, or Bicep
• Monitoring: Experience using monitoring tools like Azure Monitor, Application Insights, or Prometheus
• Tech Stack Proficiency: Familiarity with Azure-specific tools, including Functions, API Management, Event Grid, IoT Hub, Blob Storage, Cosmos DB, and PostgreSQL.

Nice to Have:

• Domain Expertise: Experience with IoT, wearable safety systems, or BLE device integration and telemetry handling
• Advanced ML Ops: Exposure to the lifecycle management and deployment of machine learning models
• Certifications: Professional certifications such as Azure Solutions Architect or Azure Security Engineer

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.
 

Your impact:

• Build AI agents for engineers that transform development workflows.
• Automate routine engineering tasks (requirements refinement, coding, testing).
• Improve team velocity and reduce manual effort through AI-driven solutions.
• Create internal best-practices guidelines for building and scaling AI agents.
• Act as an Engineering × AI multiplier across teams.
   

About you:

• 1+ year of hands-on experience building and integrating AI/LLM solutions.
• Strong Software Engineering, AQA, SDET or DevOps background.
• Practical experience with Context Engineering and RAG architectures.
• Experience building multi-agent systems (n8n, Claude Code, Agents SDK, etc.).
• Strong hands-on experience with coding agents (Cursor, Claude Code, Codex).
• Proven ability to operate autonomously and deliver measurable results.
• Systems thinker with strong time management and ownership mindset.
   

Will be a plus:

• Understanding of infrastructure fundamentals, including MLOps principles, cloud platforms (AWS/GCP), and Kubernetes.
   

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.

Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.

Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.

Flexible work format. Choose what works best for you — office, remote, or hybrid.

Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.

Health insurance & corporate doctor.

Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.

Support for sports events. We cover entry fees and encourage the team to compete and participate together.

Modern equipment. We provide new hardware and everything you need for productive work.

Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.

Simulmedia is seeking an experienced VP of Engineering to join our team to lead our engineering team as we strengthen our platform and deliver new insights and analytics capabilities within our next-generation projects.

Our engineering org is 30+ people, fully Ukraine-based, and part of a broader 65-person Ukraine team that spans product, data science, design, and marketing. The VP, Engineering leads that engineering org and is a member of the executive leadership team, reporting directly to the Chief Product & Technology Officer.

This is a hands-on leadership role. You will set technical direction, build culture, and contribute directly to innovation through prototyping and architectural work alongside your team.

Location: Ukraine is mandatory. Our offices are located in Kyiv and Lviv. Teams are located in Kyiv and Lviv and primarily work remotely with occasional offline meetings.

What You’ll Own:

Technical Strategy

• Define and drive the engineering roadmap across a multi-product platform, ensuring architectural decisions are coherent, durable, and tied to business outcomes
• Serve as the senior technical voice in cross-functional planning, shaping product and data decisions alongside peers in Product, Data Science, and Design
• Set and maintain standards for code quality, system design, and operational reliability, including the legacy systems and architectural debt that are already in production and need active stewardship
• Own production reliability end-to-end, including 24/7 incident response and escalation. This role is accountable for uptime and operational health across a live, multi-product platform.
• Build a culture where architecture decisions, service ownership, runbooks, and onboarding materials are written down, kept current, and treated as engineering deliverables

Developer Experience and Agentic Engineering

• Own the engineering toolchain as the platform for how work gets done: CI/CD pipelines, release infrastructure, error tracking, and the agentic development environment your team operates within
• Lead the org’s transition to AI-assisted and agentic development practices, defining where and how AI agents participate in the development lifecycle, from code generation to testing to deployment, and where engineers stay in the loop

AI-Native Product Development

• Lead the design and delivery of AI and agentic capabilities within the products: systems that monitor, reason, and act on behalf of users
• Prototype and build proof-of-concepts directly to validate ideas and set direction for the team
• Build engineering practices around LLM integration, agentic workflows, and AI-driven automation at the product level
• Develop team-wide judgment on where AI systems operate autonomously and where human review is required, and design products accordingly

Note: this is an active and required capability for this role. Candidates should have shipped something in this space, not just a point of view about it.

Team Leadership

• Lead and develop 30+ engineers organized across: Backend Engineering, Full Stack Engineering, Data Engineering, Infrastructure and DevOps, QA and Architecture
• Grow engineering leads into accountable, autonomous owners with strong technical judgment
• Build a culture of product engineering — where engineers own outcomes, operate with high autonomy, and are accountable to users and business results, not delivery processes.
• Build a high-trust, async-first operating culture across a fully distributed, Ukraine-based team

Cross-Functional Collaboration

• Partner with Product, Data Science, Design, and Commercial leadership as a full peer in executive discussions
• Communicate engineering strategy and status clearly to the CPTO, CEO, and board when required
• Proactively surface risks, decisions, and opportunities across the organization

Qualifications:

Background

• 8+ years in engineering leadership, with meaningful time at the VP level or equivalent scope
• Experience at a product-led company, with a track record of owning outcomes across the full software lifecycle
• Experience leading and developing distributed engineering teams within a global organization
• Familiarity with the operational realities of multi-product platforms: shared infrastructure, competing priorities, and the tradeoffs that come with scale, including the legacy systems that are part of any platform that has been in production for years.

AI and Agentic Systems

• Demonstrated experience shipping products where AI or agentic systems are in the critical path
• A clear point of view on how to design products around AI capabilities responsibly and effectively
• Ability to prototype and build directly, and to use that work to lead the team technically.

Technology

Our stack includes: Ruby, Go, TypeScript, Python, React, Next.js, Databricks, PostgreSQL, AWS, Kubernetes, and GitHub Actions. TypeScript and Next.js are central to the product roadmap and hands-on familiarity with both is expected. The ability to reason well about systems and lead credibly across a broad technical surface matters more than deep experience in every layer of the stack.

Communication

• Business-level written and spoken English is required. This role involves direct participation in English-language executive discussions, partner conversations, and external communications.
• Clear, precise, and proactive communication across all levels of the organization

Ways of Working

• Proactive and systems-oriented: you identify what needs attention and act
• Hands-on: you contribute through prototypes, design documents, and architectural review
• A member of the executive team first, with a remit that extends beyond the engineering organization.

Interview Process

1. Pre-screening call (30 mins)
2. Technical Interview (1 hour)
3. Product Interview (30 mins)
4. Interview with the CEO
5. Offer.

We are looking for a junior backend VLSI engineer to join our Physical Design team.

This role is ideal for new graduates with strong academic foundations in digital design and VLSI who want to learn and execute a full RTL→GDSII implementation flow using Synopsys tools.

You will gain hands-on experience working on advanced semiconductor technologies, including nodes down to 7 nm, 5 nm, 3 nm, and 2 nm.

Responsibilities:

Assist in synthesis (Design Compiler / Fusion Compiler) from RTL to gate-level netlist

Support floorplanning, power planning, and clock tree design

Perform place and route (P&R) using ICC2 / Fusion Compiler

Contribute to timing analysis and closure using PrimeTime (STA)

Run physical verification checks: DRC, LVS, antenna, IR-drop, EM

Prepare and validate design constraints (SDC, clock definitions, I/O timing)

Help generate and validate physical deliverables (LEF/DEF, SPEF, SDF)

Collaborate with RTL, DFT, package, verification, and integration teams

Document design steps, results, and signoff data

Required Qualifications:

B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or related field

Strong understanding of digital logic, synchronous design, and timing fundamentals

Academic exposure to VLSI backend flows

Basic familiarity with: synthesis, place & route, STA

Scripting skills (TCL, Python, Shell)

Strong analytical and problem-solving mindset

Motivation to learn deep-submicron implementation techniques (FinFET and GAA nodes)

Nice-to-Have Skills

Exposure to Synopsys tools (DC, ICC2, PT) through coursework or projects

Understanding of setup/hold timing, OCV, derates, clock uncertainty

Basic knowledge of physical effects: congestion, crosstalk, IR-drop, EM

Linux environment experience

Familiarity with Git or similar tools

What We Offer:

Hands-on work on advanced semiconductor nodes down to 2 nm

Full training in modern RTL→GDSII physical design flows

Mentorship from senior PD and STA engineers

Opportunity to work on high-performance ASICs and SoC designs

Clear growth path toward P&R specialist, STA engineer, PD lead, or chip integration engineer

InsulaLabs is an international IT company that helps product and technology businesses scale their engineering teams and launch service solutions through outstaffing and outsourcing models.

We are currently transitioning from a classic staff augmentation approach to a more mature solution and delivery model. This transformation is why we are strengthening the company’s technical core.

We are looking for a Technical Delivery Lead — a hands-on technical leader who will take ownership of technical expertise, validation, presales, and delivery quality.

This is not a theoretical role and not pure management.
It is a role for an expert, validator, and result-driven leader.
 

Responsibilities:

• Validate candidates and engineers
• Conduct and oversee technical interviews
• Participate in performance reviews (technical evaluation)
• Create and support Personal Development Plans (PDPs)
• Assess real-world performance of engineers at client projects
• Participate in technical presales
• Estimate scope, timelines, and required resources
• Support Sales in setting realistic client expectations
• Maintain strong business impact awareness
• Lead technical project kick-offs after deal closure
• Maintain a delivery risk radar and ensure alignment with agreements
• Identify risks early and proactively
• Control delivery quality across teams and partners
   

Requirements

• 8+ years in IT 
• Background as Tech Lead, Engineering Manager, or Technical Delivery Lead
• Broad technical expertise (Frontend, Backend, QA, DevOps)
• Presale and estimation experience
• Strong systems thinking
• Ability to translate technical decisions into business language
• Ownership mindset and results orientation
• English proficiency: C1
   

What We Offer

• Fully remote work format
• Direct collaboration with Executives and key clients
• Influence on company strategy and growth through 2026
• Competitive compensation (discussed individually)
• Opportunity to evolve into Head of Technical Delivery or CTO
   

Why This Role Matters

You will build the technical foundation of Insula Labs, not just maintain processes. This role has real impact on business results, delivery quality, company reputation, and long-term growth.

We are looking for a Lead Back-end Engineer who can take full ownership of one of our products and its team. If you enjoy diving into existing product, writing code, growing and leading a team, and making technical decisions that directly impact product stability and business growth, this quest is for you 🚀

💪 YOUR QUEST-LINE:

• Own the backend of one of the company products end-to-end: architecture, reliability, and delivery of complex and high-impact features;
• Build and lead a team of mid/senior back-end engineers: hiring, onboarding, conducting performance reviews;
• Hand-on development (approx. 70% initially, gradually shifting towards management as team grows);
• Drive architectural discussions and implementation planning;
• Establish, maintain and improve back-end engineering standards;
• Contribute to reducing technical debt and improving development processes;
• Collaborate closely with product managers, frontend developers, DevOps, and other backend engineers;
• Support building a healthy feedback culture.
   

👨‍🚀 YOUR IN-GAME SKIN:

• 5+ years of back-end experience, 1–3 of them in a Team/Tech Lead role;
• Experience in hiring engineers and growing a team from small size (1-2 devs) to a medium size squad;
• Experience with PHP (8.1+) and Laravel (9.0+): console commands, jobs, horizon, writing APIs;
• Experience with MySQL/MariaDB (complex queries, optimization, database design, indexes and optimizations); query profiling should be easy;
• Redis (or other caching, queues and event bus), understanding of process synchronization and atomic locks;
• Understanding of high-load systems, including scalability, fault tolerance, and performance considerations;
• Experience with asynchronous processing: queues and background jobs, schedulers, and event-driven patterns (Laravel Queues/Horizon or similar);
• API design & governance: REST/JSON, OpenAPI, versioning, error taxonomies, pagination, rate limiting; auth (JWT/OAuth);
• CI/CD (GitHub/GitLab), Docker; good grasp of cloud basics (AWS preferred) and observability (Sentry, Prometheus/Grafana/ELK);
• Knowledge of Software Development and Architectural patterns;
• Ability to design architecture from scratch and scale it with the team;
• You care about performance, stability, and scalability;
• Familiar with writing framework-level code, even if not part of your daily work;
• Comfortable setting up processes and aligning the team around them;
• Clear communicator who gives honest, helpful feedback;
• Prioritization of bringing Product value over Engineering perfection.
   

🚀 WILL BE YOUR BOOST:

• Experience with microservices architecture;
• Experience in building modular/service-oriented applications;
• Experience in working with Kubernetes, AWS;
• You know how to balance delivery speed with technical debt;
• Experienced in cross-functional collaboration: engineering, product, design, and analytics;
• Experience in defining SLAs/SLOs and setting up production monitoring/alerting;
• Flexible leadership style, depending on team context;
• Familiar with performance and observability metrics.
   

🥷 YOUR POWER-UPS SOURCE:

• Spontaneous weekend from the CEO;
• Support for professional development, including events (we went on a MAJOR trip to Copenhagen, for example), certifications, and educational materials;
• Start working at a time that’s comfortable for you;
• People Partner who will always support you in word and deed;
• Anniversary and performance bonuses;
• Input on project direction in a bureaucracy-free environment;
• Regular performance reviews and personal feedback sessions;
• 20 paid vacation days and 7 sick leave days;
• Assisting with the accounting and tax management for individual entrepreneurs;
• English language and Well-being benefit — so that you can improve your mental health the way you want;
• No time tracking;
• We purchase CHARGING STATIONS for our spacers;
• We help Ukraine: every month the company supports AFU and transfers donations for ammunition and supplies.
   

If you read everything carefully and exclaimed: «Oh, yeah, I'm good at everything and I want to do cool things together!», then we are already looking forward to your resume and portfolio! 

Send them as soon as possible! 🚀


 

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.
 

Role Overview

As a Java Tech Lead at Flamingo, you will drive the technical direction of our back-end platform, leading architecture decisions and mentoring a team of engineers building scalable, high-performance services on Java and Spring Boot. You will own the design of event-driven microservices, set engineering standards, and ensure our systems are reliable, performant, and ready to scale. Your deep expertise in distributed systems, high-volume data processing, and hands-on leadership will be critical to delivering a robust platform that powers thousands of MSPs.
 

Key Responsibilities

• Define and drive the back-end technical architecture, making key decisions on system design, patterns, and technology choices.
• Lead, mentor, and grow a team of back-end engineers, fostering a culture of quality, ownership, and continuous improvement.
• Design and develop scalable backend services and APIs using Java (Spring Boot).
• Architect and implement event-driven microservices with Kafka and RabbitMQ.
• Own technical roadmap and prioritization in collaboration with product and engineering leadership.
• Process and analyze high-volume logs efficiently to ensure scalability and real-time insights.
• Integrate and manage multiple data sources, including SQL, NoSQL, and streaming data.
• Optimize database performance using PostgreSQL, Redis, and Elasticsearch.
• Implement authentication and authorization mechanisms with OAuth, JWT, and Keycloak.
• Drive code quality, testing strategies, CI/CD pipelines, and engineering best practices across the team.
• Conduct code reviews, lead technical discussions, and contribute to hiring decisions.

Qualifications

Must-Have:

• 7+ years of experience in backend development with Java and Spring Boot, including 2+ years in a tech lead or senior leadership role.
• Proven experience leading and mentoring engineering teams.
• Deep expertise in microservices architecture, including event-driven systems (Kafka, RabbitMQ).
• Strong knowledge of RESTful APIs, GraphQL, and WebSockets.
• Experience processing high-volume logs and working with log management tools (ELK stack, Loki, Fluentd, OpenTelemetry).
• Experience working with multiple data sources, including relational (PostgreSQL) and non-relational (Redis, Elasticsearch) databases.
• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS/GCP).
• Strong understanding of security best practices in backend development.
• Excellent communication skills and ability to translate technical complexity into clear decisions and plans.

Nice-to-Have:

• Experience with functional programming in Java or Scala.
• Familiarity with distributed tracing (e.g., Jaeger, Zipkin) for microservices.
• Knowledge of cloud-native architectures and serverless frameworks.
• Exposure to message queues and event sourcing.
• Experience building engineering culture and processes at early-stage startups.

Why Join Flamingo?

• Technical Leadership: Shape the architecture and engineering culture of a fast-growing platform from the ground up.
• Ownership & Equity: Competitive compensation, including equity in an early-stage, high-growth startup.
• Innovative Tech Stack: Work with cutting-edge open-source technologies in AI, automation, and security.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

About the Role

We are looking for an exceptional VP of Engineering to lead and scale our engineering organization at a key stage of growth.

This is a high-impact leadership role for someone who can combine:

• strong technical depth
• organizational leadership
• engineering execution
• cross-functional partnership with executive, product, and go-to-market teams

You will help shape the technical direction of the company, build a strong engineering culture, and ensure the delivery of reliable, scalable, enterprise-grade products.

This role is especially relevant for leaders with experience in:

• cloud platforms
• distributed systems
• infrastructure-heavy B2B SaaS products
• developer-facing or data-intensive products

What You Will Own

• Scaling the engineering organization across infrastructure, cloud platform, and developer experience
• Building hiring plans, team structure, and engineering culture
• Translating company strategy into clear engineering priorities and execution plans
• Driving product delivery, technical quality, and operational excellence
• Improving reliability, performance, security, and scalability across the platform
• Partnering closely with Product, Developer Relations, Customer Success, and the executive team
• Establishing strong engineering processes around:
  • code quality
  • observability
  • incident response
  • delivery rhythm
  • automation

Key Responsibilities

• Lead and grow a distributed engineering organization
• Own engineering execution across core platform and cloud products
• Partner with leadership on roadmap, architecture, and scaling strategy
• Improve system reliability, speed, and operational maturity
• Align engineering efforts with the needs of both developer users and enterprise customers
• Define and execute the hiring strategy for engineering growth
• Build a culture of ownership, rigor, and high technical standards

Required Experience

• 10+ years in engineering leadership
• Experience in senior leadership roles within cloud, platform, or infrastructure engineering
• Proven experience building and scaling B2B SaaS platforms
• Strong track record of managing distributed teams
• Deep experience with Kubernetes and cloud-native architectures
• Experience running high-scale, production-critical infrastructure
• Experience working with enterprise security and compliance requirements

Technical Background

• Strong understanding of distributed systems
• Experience operating infrastructure in AWS, GCP, or Azure
• Deep knowledge of:
  • observability
  • reliability engineering
  • automation
  • DevOps
  • CI/CD
  • infrastructure as code

Leadership Profile

We are looking for someone who is:

• strategic, but still able to go deep technically
• confident in decision-making in fast-changing, high-growth environments
• clear and effective when communicating with both technical and business stakeholders
• data-driven and customer-focused

Nice to Have

• Experience with search engines, databases, storage systems, or data infrastructure
• Experience in an open-source company
• Familiarity with AI / ML infrastructure or vector search systems

Why This Role Is Attractive

• Opportunity to shape the future of AI infrastructure
• Executive leadership role in a fast-growing open-source company
• Chance to lead cloud and platform strategy at scale
• Work with a globally distributed, high-performing engineering team
• Competitive compensation package, including equity
• Remote-first work environment

Candidate Application Note

Candidates should submit a short cover letter written personally by them explaining why they are a strong fit for the role.

We're looking for an AI Automation Engineer to build internal AI-powered tools and automated workflows that accelerate every department in the company — from content production to growth to operations.

You'll work directly with the founding team and C-level leadership at a fast-growing startup with the freedom and infrastructure to move fast.
 

Ready to be part of a modern, fast-growing #1 product in its niche and gain extensive professional growth? Apply now!
 

Who are we?

memoryOS makes it easy for people to remember what's important. Proven learning and memory techniques are merged with Duolingo-like gamified e-learning with patented virtual mind palace tech. Co-founded by 2X World Memory Champion — Jonas von Essen.
We're a remote team of 30+ like-minded and diverse professionals, united around solving the problem of the forgetting curve.

We are proud to be the Most Funded App on Kickstarter. memoryOS was featured on TechCrunch and recognized by Google Brands Accelerator as "light years ahead of any other company in memory space."

Your playground

You'll have access to serious local AI infrastructure: 2x Mac Studio M3 Ultra machines, each with 512GB unified memory, running OpenClaw with the strongest open-weight models available — including the latest from Minimax, Qwen, and more. No API rate limits. No vendor lock-in. Full freedom to experiment, fine-tune, and ship.

You'll also work hands-on with cutting-edge tools like Claude Opus 4.6, Autoresearch, and agentic AI frameworks — building real systems, not demos.

What you'll be working on

• Design and build AI-powered internal tools for teams across content, marketing, analytics, and operations
• Architect and maintain automated workflows that multiply output per team member
• Deploy, manage, and optimize local LLMs on our Mac Studio infrastructure via OpenClaw
• Integrate external AI APIs (Anthropic, OpenAI, etc.) where local models aren't the right fit
• Collaborate directly with the CEO and founding team to identify the highest-leverage automation opportunities
• Prototype fast, iterate based on real usage, and ship tools that people actually use daily

About you 

• 2+ years of hands-on experience building with LLMs (local and API-based)
• Strong Python skills; comfortable with FastAPI, scripting, and glue code that holds up in production
• Experience deploying and running open-weight models locally (llama.cpp, vLLM, Ollama, or similar)
• Familiarity with prompt engineering, RAG pipelines, and agentic workflows
• Feel of urgency towards shipping — you'd rather deploy something useful today than architect something perfect next quarter

Will be a plus

• Experience with n8n, Make, or similar workflow automation platforms
• Familiarity with Apple Silicon / Metal optimization for ML workloads
• Background in building internal tools or developer platforms
• Experience with multi-agent systems or orchestration frameworks
• Contributions to open-source AI projects
• Comfortable working autonomously in a fast-moving startup where priorities shift

You will also get

• Direct access to C-level and founding team — your work shapes company strategy, not just tooling
• A local AI lab that most engineers only dream about (2x Mac Studio M3 Ultra, 512GB each, full model freedom)
• Work at the intersection of AI, learning science, and gamification
• Transparent management and regular feedback
• The opportunities to be involved in interesting and useful product for millions of people.
• Significant opportunities for professional growth and impact
• The modern team of like-minded and diverse professionals.
• Enjoy a vacation and paid sick leave days to relax every year.
• Fully remote: you are free to choose your productive work time and place.

Getting the job

Please send your CV and a brief cover letter explaining:

1. What's the most impactful AI automation or internal tool you've built, and what made it work?
2. Why does memoryOS's mission and this role excite you?

Step-by-step for this position:

1. Screening call with Recruiter (45 min): Position overview, basic competencies, culture fit
2. Technical task: A practical challenge relevant to the role
3. Technical interview with CEO and Technical Product Manager (up to 1.5 hours): Deep-dive into experience, technical skills, and problem-solving approach
4. Referral: Recommendations from previous workplace
5. Final interview with CEO and Technical Product Manager (up to 30 min): Alignment with company strategy
6. Offer call with HR (30 min): Final terms

We look forward to receiving your application! 

We are looking for an experienced Engineering Manager to lead and scale our engineering teams building a high-performance trading platform. You will be responsible for people leadership, delivery excellence, and technical direction across a hybrid infrastructure.

This role sits at the intersection of engineering, infrastructure, and business, with a strong focus on reliability, performance, and scalability in a latency-sensitive environment.

Responsibilities

- Lead and manage cross-functional engineering team up to 10 engineers (backend, frontend, infrastructure, mobile)

- Own delivery, quality, and technical outcomes for your teams

- Partner closely with Product, Trading, and Senior Engineering leadership to translate business requirements into technical execution

- Drive and evolve engineering processes: planning, estimation, CI/CD, code reviews, testing, and release management

- Guide architectural decisions for systems running on hybrid infrastructure

- Ensure high availability, performance, and observability of production systems

- Identify and reduce technical debt, while maintaining delivery velocity

- Hire, onboard, mentor, and grow engineers; conduct 1:1s and performance reviews

- Foster a culture of ownership, customer first, and result-oriented

Requirements

- 5+ years of professional software engineering experience

- 3+ years in an Engineering Manager role

- Background in financial systems, trading platforms, or other high-reliability domains

- Strong understanding of backend systems, ideally with hands-on experience in Ruby

- Experience operating systems on AWS (EC2, networking, security, monitoring)

- Experience working with on-premise infrastructure and hybrid environments.

- Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies

- Familiarity with observability tools (metrics, logging, alerting) and performance monitoring

Will be a Plus

- Experience with low-latency or high-throughput systems

- Exposure to trading, fintech, or market-data platforms

- Experience scaling teams and systems

- Hands-on experience with infrastructure-as-code tools

Insula Labs is an international IT company that helps product and technology businesses scale engineering teams and launch service solutions (outstaff & outsource).
 

We are currently transitioning from classic staff augmentation to a more mature solution / delivery model, which is why we are strengthening the company’s technical core.

We are looking for a Technical Delivery Lead — a hands-on technical leader who will take ownership of technical expertise, validation, presales, and delivery quality.
 

This is not a theoretical role, and not pure management.
It is a role for an expert, validator, and results-driven leader.

Responsibilities 

Technical Validation

• Validate candidates and specialists
• Conduct and oversee technical interviews
• Design and maintain up-to-date technical tests
• Build skill matrices and grading frameworks
   

Performance & Growth

• Participate in performance reviews (technical part)
• Build Personal Development Plans (PDPs)
• Assess real performance of specialists on client projects
   

Presale & Estimation

• Participate in technical presales
• Estimate scope, timelines, and required resources
• Support Sales in setting realistic client expectations
• Technical Delivery
• Lead technical project kickoffs after sales
• Insure delivery aligns with agreed commitments
• Identify risks early
• Control quality of work delivered by teams and partners
  
  Requirements
• Experience
• 8+ years in IT
• Background as Tech Lead / Engineering Manager / Technical Delivery Lead
• Broad technical exposure (FE / BE / QA / DevOps)
• Experience in presales and estimation
   
• Skills
• Strong systems thinking
• Ability to explain technical decisions to business stakeholders
• Ownership and results-oriented mindset
• English level: B1–C1
• We Offer
• Fully remote work format
• Direct collaboration with Executives and key clients
• Real influence on company strategy and growth in 2026
• Competitive compensation (discussed individually)
• Opportunity to evolve into Head of Technical Delivery / CTO
  
  Why This Role Matters

• You will be building the technical foundation of Insula Labs, not servicing processes.
  This role has real impact on the business, delivery quality, company reputation, and long-term growth.

   

Senior Agentic AI Engineer

Rozeta Labs · Full-time Contractor · 100% Remote · $4,000 – $5,000 / month · EST overlap preferred

About Rozeta Labs

Rozeta Labs is an early-stage AI implementation company. We design and build custom AI automation systems for businesses that have real operational problems — home services, professional services, health and wellness, private equity-backed companies, and beyond. Our clients are owner-operators and leadership teams who need AI to actually work inside their business, not just demo well.

We don't sell software. We sell outcomes. We go inside a client's operation, identify where AI creates the most leverage, build it, and make sure it runs.

We're a startup. Small team, high standards, moving fast. This is a foundational hire and you'll work directly with the founder on every engagement.

The Role

You're the technical engine behind every client engagement. When we bring on a new client, you design the AI system, build it, maintain it, and expand it over time. You'll sit directly alongside the founder — shaping how we architect solutions, how we deliver them, and how Rozeta evolves as the AI landscape shifts under our feet.

This is not a research role. Not a prompt engineering role. Not an internal tooling role. You build production AI systems that drive measurable business outcomes for real companies — and you've done it before.

As we grow, you'll be responsible for hiring additional engineers who will help with an increase in client engagements.

What You'll Build

• Multi-agent orchestration systems that automate complex business workflows end-to-end
• RAG pipelines that give AI agents access to client-specific knowledge — pricing, inventory, history, policies
• Tool-use architectures that connect AI to CRMs, scheduling platforms, and business software via APIs and MCP
• Human-in-the-loop workflows with deliberate escalation logic and clean handoffs
• Evaluation frameworks that actually measure whether a system is working

What We're Looking For

• Direct, hands-on experience implementing AI systems that drove real business outcomes for small, mid-size, or enterprise clients — not internal tools, not side projects, not demos
• Deep fluency with agentic AI architecture: multi-agent patterns, planner/executor design, tool use, failure handling, observability
• Extensive experience with the Anthropic SDK and Claude API — tool use, extended thinking, long context, MCP
• Hands-on experience building with AI-native coding tools: Claude Code, Codex, Cursor, and similar agentic development environments
• Strong Python; hands-on experience with LangGraph, LangChain, or equivalent orchestration frameworks
• Real RAG experience: embedding models, vector databases, retrieval quality — not just the concept
• The ability to look at a business process and translate it into an agent workflow — you think in systems, not just in code
• Strong written and spoken English — you'll communicate directly with US-based founders and clients

• Comfort working in a fast-moving startup where the scope expands and the playbook is still being written

   

Nice to Have

• Background in solutions engineering, technical consulting, or client-facing implementation roles
• Experience with automation platforms like Zapier or Make in a technical capacity
• Familiarity with business software across verticals — CRMs, scheduling tools, EHRs, field service platforms

• Experience building and shipping AI products or services, not just internal automation

   

Compensation and Structure

• $4,000 – $5,000 / month depending on experience
• Full-time independent contractor, paid monthly
• 100% remote, async-first with regular overlap during EST business hours

• You'll go through a technical evaluation as part of the interview process

   

To Apply

1. Submit Resume

2. Record a short Loom (3–5 minutes, no editing required).

Tell us who you are and walk us through the most interesting AI system you've ever built. What did it do, who did it help, and how do you know it actually worked? We want to see how you think — not a polished presentation.

Applications without a Loom will not be reviewed.

We are looking for an experienced Engineering Manager to lead and scale our engineering teams building a high-performance trading platform. You will be responsible for people leadership, delivery excellence, and technical direction across a hybrid infrastructure.

This role sits at the intersection of engineering, infrastructure, and business, with a strong focus on reliability, performance, and scalability in a latency-sensitive environment.

Responsibilities

- Lead and manage cross-functional engineering teams up to 30 engineers (backend, frontend, infrastructure, mobile)

- Own delivery, quality, and technical outcomes for your teams

- Partner closely with Product, Trading, and Senior Engineering leadership to translate business requirements into technical execution

- Drive and evolve engineering processes: planning, estimation, CI/CD, code reviews, testing, and release management

- Guide architectural decisions for systems running on hybrid infrastructure

- Ensure high availability, performance, and observability of production systems

- Identify and reduce technical debt, while maintaining delivery velocity

- Hire, onboard, mentor, and grow engineers; conduct 1:1s and performance reviews

- Foster a culture of ownership, customer first, and result-oriented

Requirements

- 5+ years of professional software engineering experience

- 3+ years in an Engineering Manager role

- Background in financial systems, trading platforms, or other high-reliability domains

- Strong understanding of backend systems, ideally with hands-on experience in Ruby

- Experience operating systems on AWS (EC2, networking, security, monitoring)

- Experience working with on-premise infrastructure and hybrid environments.

- Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies

- Familiarity with observability tools (metrics, logging, alerting) and performance monitoring

Will be a Plus

- Experience with low-latency or high-throughput systems

- Exposure to trading, fintech, or market-data platforms

- Experience scaling teams and systems

- Hands-on experience with infrastructure-as-code tools

About the Role

We are looking for a talented AI Fullstack Engineer who is passionate about building real-world AI-powered products and automation solutions.

In this role, you will work on developing and integrating AI-driven tools and automation systems for enterprise clients, helping companies optimize workflows and unlock the power of modern AI technologies.

You will be involved in designing AI pipelines, integrating AI models into production systems, and building scalable web applications that leverage the latest advancements in AI development.

This is a great opportunity for engineers who enjoy combining fullstack development with modern AI tools and frameworks while working on impactful enterprise solutions.

Responsibilities

Design, develop, and maintain automation tools for enterprise clients.

Build and integrate AI-powered solutions into existing platforms and workflows.

Develop and optimize AI pipelines and automation systems.

Work with APIs and backend services to integrate AI features into client infrastructures.

Build and maintain scalable fullstack applications using modern technologies.

Collaborate with cross-functional teams to deliver production-ready AI solutions.

Technical Skills
 

Fullstack Development:

Strong experience with React for frontend development.

Solid backend development experience using Python.
 

AI / ML Knowledge

Experience using AI tools and frameworks to implement application logic and automation workflows.

Basic understanding of Machine Learning concepts and model training.

Familiarity with LangChain or similar frameworks used for building AI pipelines or agent workflows.
 

Web Development

Strong understanding of modern web development principles and architecture.
 

AI Development Tools

Experience working with Cursor or similar AI-assisted coding tools is a plus.

Delasport — Implementing Technological Solutions Here and Now.

Delasport is an iGaming Software company providing Sports Betting & Online Casino software, and turnkey B2B solutions. Established in 2010, Delasport delivers a one-stop-shop solution of Sports Betting and Online Casino from a White-Label, with a full range of management services to a Plug&Play iFrame and a complete Turnkey. We are looking for the top talents to join our team in R&D centre in Kyiv.

We are establishing R&D center in Kyiv and looking for talents to join our team. We expect this manager to work closely with the team’s current Product Owners, Delivery and Project managers, Architects while owning the engineering roadmap and providing career guidance to the team.

RESPONSIBILITIES

• Leading teams of engineers and accelerating their growth by providing thoughtful feedback, technical mentorship, and effectively manage performance
• Working hands-on with your team and stakeholders to enable rapid delivery of features and technical solutions that make a positive user impact
• Collaborating with business leads across the company to define milestones and deliveries for new functionality to be added to existing applications
• Work with your teams under tough deadlines to design, build, and deliver projects.
• Ensure processes and training are in place for continuous improvement in our services
• Continuously work towards improving team efficiency and engineering capacity by improving the flow and addressing technical debt in our products and processes

REQUIREMENTS

• You are a strong motivator, leader, team player with a record of leading and mentoring employees
• You bring about 7+ years of experience as a technology leader with a proven track record of leading Engineering teams
• Experience working with stakeholders and contributing to product definition
• Profound knowledge in parts of our tech stack — Java, Kafka, RabbitMQ, Redis / Aerospike, Relational & NoSQL Databases
• Experience with Docker, Kubernetes, ELK, Grafana, Prometheus
• Understanding of large scale, distributed systems, microservice architecture
• Experience in recruiting, retaining and inspiring highly effective software engineering teams

WHAT WE CAN OFFER YOU

• Modern office in Podil with an uninterruptible power supply and the Internet
• Personal time off (21 business days of paid vacation, paid days on special occasions, sick leaves, emergency days off)
• Public holidays
• Health and life insurance with our broker, available starting from the month following the employee’s start date with the company
• Modern technical equipment
• English courses with native speakers
• Ukraine-based educational programs
• Sports activities reimbursement
• Corporate entertainments
• Happy hours on Fridays
• Gig contract support