Jobs Tech Leadership

About us

It is a leading global platform for family history that helps people around the world discover more about themselves and their roots. Offering intuitive tools, billions of historical records, affordable at-home DNA testing, and AI-powered photo features, it creates a deeply meaningful and rewarding experience of discovery. Tens of millions of people worldwide use the platform to explore, preserve, and celebrate their heritage.

Your goal

As the Web Team Lead, you’ll lead our genealogy-focused front-end development team, collaborating closely with UX/UI designers, product managers, and back-end and QA engineers to create seamless, engaging web experiences. Your mission is to develop intuitive interfaces that make exploring family history effortless, enjoyable, and data-driven.

What you'll do

• Lead and mentor a front-end development team of 4+ members, ensuring high performance and professional growth.
• Design and develop user-friendly genealogy tools utilizing modern front-end technologies, including React (with SSR), Redux, ES2015+ (Babel), GraphQL, SASS, and Webpack within a CI/CD environment (Jenkins).
• Uphold high coding standards with rigorous testing using Jest and React Testing Library.
• Extend and enhance our custom component library.
• Optimize web applications for speed, scalability, and cross-browser compatibility.
• Collaborate with back-end engineers to integrate APIs for historical records and family tree data.
• Ensure adherence to front-end security best practices, safeguarding against XSS, CSRF, and other vulnerabilities.
• Monitor the production environment, proactively identifying and resolving performance, security, and usability issues.
• Stay ahead of trends in web development, AI, and genealogy technologies to drive innovation.

What you bring

• 7+ years of experience in front-end development, with at least 3 years in a leadership role.
• B.Sc. in Computer Science or Software Engineering.
• Strong leadership skills, with a proven ability to inspire, motivate, train, and manage senior web developers.
• Proven track record delivering scalable, high-performance web applications.
• Comfort balancing leadership responsibilities with hands-on development, actively engaging in code reviews and technical decision-making.
• Extensive experience with architectural and design-related activities.
• Expertise with React/Redux or similar modern web libraries and frameworks.
• Excellent proficiency in vanilla JavaScript/ESNext, HTML, and CSS.
• Solid experience with RESTful APIs, GraphQL, and real-time data integration.
• Excellent problem-solving abilities, adaptability, and an eye for UX/UI best practices.
• Familiarity with Agile methodologies and tools such as Jira, GitHub, and CI/CD pipelines.
• Server-side familiarity and comfort with associated responsibilities.
• Visionary approach in pre-planning phases and capability to create long-term strategic goals.
• Fluent in English; proficiency in Ukrainian is a plus.

N‑iX is a global software‑development partner with Ukrainian roots and 2,000+ professionals across nine countries. We are committed to continuous innovation and are now strategically leveraging Generative AI to significantly enhance our Software Development Life Cycle (SDLC) productivity.

As the Gen AI Adoption Lead, you will be at the forefront of driving the integration of Generative AI across our engineering teams to revolutionize our SDLC. You will take a leading role in identifying critical use cases, expertly guiding teams on the selection and implementation of specific Gen AI tools and engineering approaches, providing mentorship and technical direction, and spearheading the scaling of successful Gen AI integrations throughout the company. Your success will be measured by tangible improvements in development efficiency, code quality, and overall engineering team empowerment.

Key Responsibilities:

• Strategic GenAI Opportunity Identification: Lead the collaborative effort with software development teams to pinpoint strategic engineering workflows within the SDLC where Generative AI can deliver substantial and scalable productivity gains.
• Expert Tool & Technical Direction: Provide expert guidance and technical direction to engineering teams on the evaluation, selection, and optimal application of relevant Gen AI tools and engineering methodologies.
• Mentorship & Engineering Enablement: Mentor and technically enable engineering teams through comprehensive education, hands-on coaching, and the development of best practices for Gen AI adoption.
• Technical Implementation Leadership: Provide strong technical leadership and guidance to engineering teams during the design, implementation, and integration phases of Gen AI solutions, ensuring adherence to architectural standards and best practices.

• Driving Scalable GenAI Solutions & Best Practices: Architect and champion the development and adoption of robust best practices for the secure, effective, and scalable integration of Gen AI within the SDLC across N-iX engineering.

   

Requirements:

• Deep understanding of the Software Development Life Cycle (SDLC) and extensive practical experience leading technical efforts across various development workflows.
• Extensive and demonstrable experience as a Lead Java developer with a deep understanding of software architecture, design patterns, and best practices in software development.
• Direct, hands-on experience leading the implementation of specific Gen AI tools relevant to software development within engineering teams (e.g., GitHub Copilot, Cursor, AI-powered testing frameworks).
• Significant experience leading and mentoring technical teams in the adoption of new technologies.
• Exceptional communication, collaboration, and influencing skills, with the ability to effectively convey complex technical visions to both technical and non-technical stakeholders and drive adoption.
• Extensive experience with Agile/Scrum methodologies and a proven track record of leading technical teams within these frameworks.
• Strong analytical and strategic thinking skills, with a data-driven approach to evaluating the impact and ROI of technology initiatives.

• English level - Upper-Intermediate or higher.

   

Nice to Have:

• Experience in developing and delivering technical leadership training programs and workshops for engineering teams.

   

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

*not applicable for freelancers

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

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 establishing an R&D centre in Kyiv, and are looking for top talents to join our team.
 

RESPONSIBILITIES

• Create technical plans, provide task estimations, ensure code quality, and recommend tools and best practices.
• Lead technical meetings, provide guidance to developers, and ensure requirements are delivered on time.
• Design systems with a focus on high availability, scalability, and disaster recovery.
• Design, develop, and maintain backend services and frontend infrastructure components.
• Refactor and optimize existing endpoints and business logic.
• Write reusable, maintainable, and efficient code.
• Improve the existing codebase and increase unit test coverage.
• Participate in and oversee code reviews and the release process.
• Drive decisions on tools, frameworks, and coding conventions across teams.
• Handle escalated technical issues of any complexity and coordinate resolution of cross-team issues when necessary.
• Guide, mentor, and encourage other developers, fostering growth and knowledge sharing.
   

REQUIREMENTS

• 4+ years of experience in a technical lead or team lead role.
• 6+ years of experience as a Full stack developer.
• Experience with backend frameworks
• Experience with cloud infrastructure
• Proficiency in Databases (performance optimization, indexing, schema design)
• Experience with Docker, Jenkins/CI pipelines, Git workflows and monitoring tools
• Experience with caching layers (Redis, Memcached)
• Experience with GraphQL, REST, WebSockets
• Good understanding of coding principles
• Habits of writing clean code
• Knowledge of message brokers such as RabbitMQ or Apache Kafka is a plus
• Experience with Vue, TypeScript and Nuxt is a plus
• Experience with PhP frameworks is a plus
• Proactive and Self-motivated person
• A good level of English
   

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 insurance with the broker which is available from the first month of cooperation
• Life insurance with the broker which is available from the first month of cooperation
• Modern technical equipment
• English courses with native speakers
• Ukraine-based educational programs
• Sports activities reimbursement
• Corporate entertainments
• Happy hours on Fridays
• Gig contract support

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

At Materialise, we are dedicated to delivering reliable, scalable, and secure systems that empower our business and stakeholders to grow and innovate. Our Global IT Cloud, Security, and Infrastructure team, composed of approximately 20 talented professionals, is at the heart of this mission. The team is responsible for managing Materialise’s global IT infrastructure, safeguarding data, and providing robust platforms for our DevOps engineers.

 

Job description

We are currently seeking a motivated manager to lead the DevOps Tools Engineering and Site Reliability Engineering teams. In this role, you will act as both a people manager and a functional leader, guiding your team to success while driving technical projects to completion. You will work closely with business stakeholders and IT management to set a consistent technical direction and identify opportunities to leverage new technologies for organizational success.

What you will do

• Team leadership and people management
  • Lead, mentor, and develop a team of skilled engineers
  • Foster a culture of collaboration, innovation, and continuous improvement within the team
• Cross-functional collaboration
  • Collaborate closely with engineering, DevOps, and product teams to align efforts and achieve shared goals
• Incident management
  • Oversee incident response processes, ensuring timely resolution and thorough root cause analysis
• Strategic planning
  • Define and execute strategies related to SRE and DTE technologies, aligning with IT Management and business stakeholders
• Budget oversight
  • Manage and oversee the team’s budget, ensuring cost-effectiveness while meeting project and operational goals
• Project management
  • Manage and prioritize SRE and DTE-related projects, ensuring clear scope, on-time delivery, and collaboration with cross-functional teams.

Your profileExperience:

• 5+ years of experience in Site Reliability Engineering, DevOps, or related fields
• 2+ years of managerial experience, with a proven track record of leading technical teams

Technical skills:

• Strong understanding of cloud (AWS, Azure) and on-premise infrastructure (Windows, Linux, Active Directory, M365, Storage, Backup, ...)
• Knowledge of DevOps concepts and implementation strategies, including CI/CD pipelines and deployment strategies.
• In-depth knowledge of DevOps practices such as Infrastructure as Code (IaC) using tools like Terraform or Ansible, as well as version control systems like Git
• Familiarity with monitoring and observability tools to ensure system reliability and performance
• Experience implementing and managing automated testing frameworks in a DevOps environment

Leadership:

• Proven ability to lead and grow high-performing technical teams
• Strong skills in People Management, fostering both individual and team development

Project management and strategic management

• Experience managing and delivering technical projects, with a focus on system reliability, scalability, and performance improvements
• Strategic mindset with the ability to define and execute plans that align with organizational priorities

Communication:

• Clear and effective communication skills, with the ability to translate technical concepts for non-technical stakeholders
• Fluency in English

We are seeking a Team Lead w/ strong Frontend or Full Stack (Frontend + Java) experience to oversee a distributed, cross-functional team of 7+ members (including back-end, front-end, full-stack, database developers, and QA engineers) while also contributing technically to our projects. Reporting directly to the CTO, you will ensure successful sprint delivery, maintain high development standards, and foster a results-oriented culture. You will be accountable for the team’s performance, guiding technical decisions within your domain and handling administrative responsibilities such as goal setting, mentorship, and performance reviews.

Main Responsibilities:

• Oversee and lead design, development, and maintenance of new and existing application features.
• Oversee and lead upgrades and refactoring of existing application functionality using modern technologies and frameworks such as React and Java.
• Participate in the architectural design and development of high-quality applications.

Expected Results:

• Strong Team Performance – Maintain a high-performing, accountable team that consistently delivers on sprint goals.
• Reliable Delivery – Ensure timely, high-quality releases that support business growth and market expansion.
• Technical Excellence – Drive Frontend (and optionally Java) best practices, ensuring maintainable, scalable, and efficient solutions.
• Operational Efficiency – Improve workflows, reduce bottlenecks, and enhance cross-functional collaboration.

Professional Qualifications:

• Minimum of 7 years of experience as a Frontend or Full Stack (Frontend + Java) Developer, with at least 2 years in a leadership or team lead capacity.
• Proven track record of contributing to 3+ projects (a portfolio or a GitHub account will be a significant plus).
• Strong knowledge of modern Frontend technologies and frameworks.
• Expertise in JavaScript, TypeScript, React and their integrations with RESTful APIs.
• Deep understanding of micro-frontend architecture.
• Experience with state management (MobX, Redux, Zustand, etc.)
• Strong understanding of web security principles (OWASP, XSS/CSRF protection).
• Familiarity with build tools like Maven or Gradle.
• Adherence to software development best practices: SOLID, DRY, YAGNI, KISS principles, and GoF Patterns.
• Experience in CI/CD pipelines using tools such as Docker, CircleCI, or GitLab.
• Comfortable reading and refactoring existing codebases.
• Proven ability to lead and inspire a diverse technical team in a distributed environment.
• Strong sense of initiative, proactivity, and accountability for team results.
• Excellent communication and conflict resolution skills.
• Effective time management and organisational abilities.
• Results-oriented with a knack for problem-solving and decision-making.
• English - upper intermediate.

Will be a plus:

• Previous experience in the fintech industry.
• Experience with payment integrations.
• Familiarity with BPM tools, such as Camunda.
• Experience with Next.js.
• Expertise in React Native.
• Experience with UI component library design and management.
• Expertise in Java.
• Working experience with PostgreSQL and AWS technologies (e.g., Lambdas, API Gateway, DynamoDB).
• Experience with Microservices and Hexagonal architecture.

What We Offer:

• Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter.
• Attractive compensation package aligned with your experience and performance, plus performance-based incentives.
• Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture.
• Comprehensive medical coverage to keep you and your family protected.
• Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.

We are seeking a committed and experienced Lead Software Architect (Java) with a strong background in backend development, system design, and team leadership. You will be managing the development team, helping them grow, leading code reviews, and optimizing system architecture.

This is a Full-Time remote position.

We are looking for a Lead Software Architect (Java), specifically with these requirements:

• 10+ years of experience in backend development, with a focus on Java (Spring)
• 5+ years of experience in software and system architecture in the back-end.
• 5+ years of leadership experience managing development teams - including hiring, training, setting KPIs, running sprints, and ensuring delivery.
• Strong architectural and system design expertise, including experience in improving and scaling backend infrastructure.
• Proficient in Cloud (GCP ideally), Microservices & event-driven architecture, Docker and Infrastructure as code.
• Deep understanding of business logic in eCommerce, ensuring that technical decisions align with company goals.
• Experience with auditing and optimizing backend systems, implementing best practices to enhance efficiency and performance.
• Hands-on coding experience, with the ability to review code, conduct check-ins, and improve development processes.
• Excellent communication skills, with the ability to lead discussions, challenge inefficiencies, and drive improvements within the team.
• Comfortable working in a fast-paced, results-driven environment, prioritizing output over perfectionism.
• Experience with cloud infrastructure (GCP) and setting up DevOps processes.

Your responsibilities will include (but not limited to):

• Leading the software development team - managing sprints, assigning tasks, growing them, and ensuring effective collaboration.
• Overseeing and improving backend architecture and making high-level decisions to improve system efficiency and scalability.
• Conducting regular code reviews and performance audits, identifying and resolving bottlenecks.
• Improving development workflows, setting clear KPIs, and driving faster delivery cycles.
• Collaborating with the CEO and stakeholders to align technical development with business objectives.
• Ensuring smooth communication across the team, encouraging open discussions and knowledge sharing.
• Driving continuous improvement, identifying weaknesses in existing processes and implementing better solutions.

Growth Opportunities/Perks:

• Ability to implement strategic initiatives and drive company-wide impact.
• Competitive salary in a performance-driven environment. 
• Opportunity to lead and shape the development team and architecture.
• Full ownership of system design and technical decisions.
• Work in a dynamic, collaborative environment with minimal micromanagement.
• Professional development support and opportunities for advancement.
• Fully remote role with flexible working arrangements.

This Position Is Perfect For You If…

You’re a natural problem solver.

You can quickly identify inefficiencies, develop solutions, and implement process improvements to drive operational success.

You’re a strategic thinker. 

You understand how backend architecture supports business objectives and can align development with company goals. Besides that, you focus on impact, ensuring the development team delivers efficiently rather than striving for perfection.
 

You’re a strong leader. 

You can manage a team, set expectations, and ensure delivery without micromanaging.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

Avvail is a US-based SaaS company connecting preferred brands with exclusive restaurants through a seat-access marketplace. We manage agreements, automate connectivity, and facilitate payments so restaurant operators can focus on delivering great hospitality, not logistics. Our platform is live with real customers and revenue, and we’re a small senior team shipping fast and solving real operational challenges in hospitality tech and payments.

The Role

We’re looking for a Lead Software Engineer who wants to build, not just manage. You’ll be our first full-time engineer, joining a live platform with real customers and integrations that power seat access and payment facilitation for partner brands. You’ll own core features, services, and reliability, and help define our engineering standards as we scale.

This is a hands-on role: you’ll ship code daily, make architectural decisions, improve developer experience, and help build the engineering team over time. For now, you’ll be both builder and technical leader.

What You’ll Do

• Own core platform development across backend services, APIs, and web clients
• Design and implement scalable, secure architecture and integrations with external partners
• Ship high-quality code with strong testing and maintainability practices
• Work closely with product to shape requirements and guide technical decisions
• Improve developer experience, CI/CD, observability, and automation
• Establish engineering standards, documentation, and best practices
• Play a key role in hiring and mentoring future engineers as the team grows

Ideal Experience

We don’t care about exact years—show us strong fundamentals, real shipped work, and technical ownership.

• Ruby (our backend is primarily Ruby today)
• Building APIs and distributed services
• Cloud platforms (AWS, GCP, Fly.io, Render, etc.)
• SQL databases, caching, messaging queues, background jobs
• Third-party integrations
• Automated testing, CI/CD, IaC, monitoring/observability

Who You Are

• A builder—fast and hands-on
• Comfortable making decisions with incomplete information
• Strong communicator
• Pragmatic, focused on business value
• Low-ego, collaborative
• Excited by early-stage ownership and ambiguity

Nice to Have

• Experience with B2B SaaS or marketplace platforms
• Security mindset (PCI/FIPS, auth flows, sensitive data handling)
• Hospitality tech, fintech, or payments background
• Experience mentoring engineers or running code reviews

Why Avvail

• Direct influence on product, architecture, and technical roadmap
• US-based SaaS startup working with major global partners
• Define our engineering culture, standards, and foundations
• Work with global partners, premium restaurants, and real enterprise-scale problems
• Competitive compensation and meaningful early-employee equity (0.5%–1.0% depending on seniority)
• Remote-friendly, flexible culture, small senior team
• High ownership, fast decision-making, zero bureaucracy

Who We’re Looking For

We’re looking for a hands-on Tech Lead to design and build the technical foundation of a biotech startup operating in the cloud (AWS). This role combines architectural thinking with hands-on coding — you’ll lead technical discussions, shape the stack, and still contribute directly to the codebase.

The ideal candidate has a strong full-stack background with TypeScript, React, and databases, plus deep AWS expertise. Experience with AWS Amplify Gen 2, DynamoDB, Bedrock, and OpenSearchis a big plus. You should be comfortable collaborating with stakeholders and guiding a small team in a fast-moving startup environment.

What You’ll Be Doing

• Design scalable and secure architecture for a cloud-based platform
• Contribute directly to the codebase (hands-on coding in TypeScript, React, and backend)
• Collaborate with product, engineering, and business stakeholders to align technical direction
• Lead technical discussions and set engineering best practices
• Define the stack, system components, and technical roadmap
• Review code, mentor engineers, and ensure high-quality delivery
• Work closely with data teams to design data flows and scalable storage
• Oversee deployment and infrastructure management in AWS

What We Expect

• 5+ years of hands-on full-stack development with AWS
• Proven experience as a Tech Lead, Principal Engineer, or similar
• Strong background in TypeScript, React, and modern full-stack development
• Solid knowledge of AWS infrastructure (deployment, monitoring, scaling)
• Understanding of software architecture patterns (microservices, event-driven, serverless)
• Database design and optimization experience
• Excellent communication skills, able to engage with both technical and non-technical stakeholders
• Fluent English (Upper-Intermediate or higher)

Nice to Have

• Data engineering or building analytical systems
• Experience in healthtech or biotech
• Launching greenfield projects or scaling startup architectures

Interview Process

1. Introductory call with the recruiter
2. Meeting with the development team
3. In-depth technical interview with the current Solution Architect
4. Final meeting with the CEO and startup team

Our recruitment agency is supporting an international B2B SaaS company in the search for a Tech Lead to join a team developing an AI-driven solution for automated video processing. The client works with large global partners, including major organizations in the sports industry.
 

About the Project

The team is building a platform that enables brands to integrate short-form video content directly into their digital products, increasing engagement and retention. A key focus area is an AI-powered tool that automatically converts long-form videos into short, platform-ready clips, identifies key moments, and generates optimal crops and aspect ratios for each channel.

The product is actively used by enterprise customers and is entering a phase of rapid scaling.moments and produce the right crops for each channel, enabling much higher publishing volume.

Responsibilities:
 

Own outcomes, not just tickets

• Lead a squad of 2–4 engineers (mix of senior/junior) to deliver measurable product impact
• Set clear goals and success metrics (e.g., latency/reliability/adoption), break work into small, reversible slices, and ship on a steady cadence

Design and build production systems

• Architect and implement .NET services/APIs with SQL Server for a multi‑tenant B2B SaaS platform
• Make pragmatic trade‑offs: idempotent writes, rate limiting, caching/ETag, indexing and query shaping, back‑pressure, and failure‑mode handling

Operate what you build

•  Instrument services with logs/metrics/traces; hold the line on p95/p99 performance and availability SLOs
•  Run incident reviews that produce systemic fixes and documentation (runbooks, dashboards)

Prioritise for the business

• Partner with PM/Design/Customer teams to translate goals into scope; cut or resequence work when data changes
• Keep stakeholders aligned with concise updates, risks, and owner/dates

Create clarity and accountability

• Set explicit expectations with your reports; give direct feedback; follow through with support and check‑ins
• Use lightweight mechanisms—PR templates, decision records, checklists — to make accountability routine

Grow people and the codebase

• Mentor engineers via pairing, reviews, and 1:1s; create growth plans and celebrate momentum
• Keep standards high: tests where they matter, clear interfaces, and intentional debt management

Leverage AI effectively

• Use AI assistants to accelerate boilerplate and documentation, and verify outputs with tests and metrics
• Help the team adopt safe practices (no secrets, anonymised data, prompt discipline, simple evals)

Collaborate across the product suite

• Work with the iOS/Android/Web SDK teams to ensure that backend APIs and contracts are stable, well-documented, and easy to integrate
• Support enterprise client integrations (often in sport), balancing reliability with delivery speed

Hire and onboard

• Contribute to interviews and rubrics; onboard new teammates with clear goals, docs, and a first‑week win

Qualifications:
 

Must‑haves

• Technical leadership: you’ve led a small team (2–4 engineers) to ship production software, setting direction, unblocking work, and owning outcomes end‑to‑end
• Practical problem solving: you start from constraints and business goals, enumerate options, make trade‑offs explicit, and choose the smallest reversible step that works
• Clear, direct communication: you set crisp expectations with reports, write succinct PRs/decision records, and give kind‑but‑candid feedback that changes behaviour
• Ownership & accountability: you finish hard things, leave systems better than you found them (tests, telemetry, docs), and make accountability routine rather than personal
• Flexibility & product sense: you can cut scope to hit outcomes, re‑prioritise quickly when data changes, and keep stakeholders aligned
• Learning mindset & AI fluency: you adopt new tools fast (including AI assistants) and verify outputs with tests/metrics, respecting privacy and data safety

Nice to have:
 

• Cloud & infra: Azure (or equivalent), CI/CD, feature flags, safe rollouts/rollbacks
• Experience across media/SaaS, SDKs, or high‑throughput event ingestion
• C# / .NET expertise: strong experience with modern .NET (.NET 8+), building and operating Web APIs; comfortable with Minimal APIs or controllers
• SQL Server depth: confident with schema design, indexing, query shaping, and concurrency (transactions, isolation levels, deadlocks, idempotency)
• Interest in sport and fan engagement (helpful, not required)

If you're excited about shaping a high-impact engineering function and working on advanced AI-driven video technology, we’d be happy to discuss the role further.

We’re looking for a passionate Web3 Tech Lead to join Wayvy Labs, a global Web3 startup shaping the future of decentralized technology. You will lead a team of talented engineers who design, build, and scale blockchain-based applications, from smart contracts to full-stack web3 systems. This role combines technical leadership, hands-on development, and strategic architecture to drive innovation across projects.

Responsibilities

• Lead and mentor a team of blockchain and full-stack developers.
• Design and implement smart contracts on Ethereum and other EVM-compatible blockchains.
• Design and develop scalable full-stack dApps (frontend, backend, and web3 integration).
• Collaborate with product, design, and leadership to define technical direction.
• Manage Git workflows, CI/CD pipelines, and project deployments.
• Lead emerging technologies and drive technical innovation within the team.

Ensure smooth communication, documentation, and collaboration across departments.

Requirements

• 5+ years of professional software development experience
• 2+ years of experience leading engineering teams or projects.
• Excellent expertise in Solidity and smart contract development
• Expert knowledge of JavaScript/TypeScript, Node.js, and React/Next.js
• Experience with Web3 libraries such as ethers.js, viem, and wagmi
• Experience with cloud infrastructure (AWS, GCP) and DevOps workflows
• A solid foundation in Git, CI/CD, and Agile methodologies
• Excellent communication, leadership, and problem-solving skills