Insurance Product Configuration Engineer Lead

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions, translating business needs into technical scope, and ensuring successful production rollout. The role bridges business and technical teams, owning backlog, architecture alignment, and AI governance to deliver scalable, value-driven solutions. Hybrid work model with responsibility for agile squads and cross-functional coordination. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Strong backlog management and delivery flow expertise, Working knowledge of AI, ML, LLM, RAG solutions, Understanding of software architecture, APIs, integrations, Knowledge of AI governance, security, data privacy principles, Ability to translate business requirements into technical scope, Experience working in cross-functional enterprise teams, Fluent Business English, Experience with Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Security, DataPrivacy, Jira, Confluence, Agile 🏢 Description: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Senior-level role leading endpoint engineering and administration in a hybrid environment, responsible for reliability, security, and scalability of enterprise endpoint platforms. The position owns endpoint management, security baselines, large-scale provisioning, incident escalation, and automation initiatives. It focuses on strengthening endpoint security, optimizing Intune/Autopilot, and driving operational excellence across IT Operations and Security. 🗂️ Requirements: Enterprise experience in endpoint administration/engineering, Expertise in endpoint management platforms (Intune, Autopilot), Strong troubleshooting of endpoint policies and configurations, Experience with large-scale endpoint deployments, Implementation of endpoint security baselines and hardening, Vulnerability remediation and security tool integration, Incident response and root cause analysis for complex endpoint issues, Automation of endpoint management tasks, Creation of technical documentation and operational standards, Collaboration with IT Operations and Security teams 📃 Skills: Intune, Autopilot, Endpoint, Windows, Security, Automation, Provisioning, Deployment, Vulnerability, Compliance, IncidentResponse, Troubleshooting, Documentation, Monitoring, Analytics 🏢 Description: Posting Type Hybrid Job Overview The Lead Systems Administrator on the IT Operations Endpoint Engineering team is a senior, direct technical leader responsible for the reliability, security, and scalability of the company’s endpoint ecosystem. This role ensures endpoints are managed and secured as a critical “front door” to corporate systems. Job Description and Requirements Key Responsibilities 1) Endpoint Management Platform Ownership Own and continuously improve endpoint management capabilities that enable secure, scalable provisioning, configuration, compliance, and software delivery across the endpoint fleet. Lead initiatives and operational maturity in areas such as Intune optimization, Autopilot improvements, and endpoint analytics/advanced reporting. Drive platform reliability and prevent issues through initiative-taking monitoring, health checks, and lifecycle management of endpoint tooling. 2) Endpoint Security Baselines & Vulnerability Reduction Implement and support endpoint security controls and hardening baselines in partnership with Security teams, with an emphasis on measurable risk reduction and audit readiness. Lead vulnerability response workstreams such as vulnerability remediation programs, and security tool integrations. Implement and maintain enterprise security expectations while preserving end-user productivity and operational continuity. 3) Provisioning, Deployment, and Change Execution at Scale Own endpoint provisioning workflows and zero-touch/low-touch deployment practices. Partners with adjacent teams to ensure endpoint changes are aligned with compliance, required controls and Security expectations. 4) Tier 3/4 Escalation, Incident Response, and Problem Management Function as a top-level escalation point for complex endpoint incidents impacting Enterprise systems. Lead root cause analysis efforts and implements durable fixes to prevent repeated incidents and reduces support burden. 5) Automation & Operational Excellence Build and support automation to reduce repetitive manual work and improve consistency. Establish and enforce best practices that optimize for scale and improve end-user outcomes. 6) Documentation, Knowledge Transfer, and Enablement Create and support runbooks, operational playbooks, and high-quality documentation. Provide technical enablement to Service Desk and partner teams to reduce escalations and increase first-contact resolution. 7) Cross-Team Collaboration & Stakeholder Partnership Collaborate across IT Operations and Security, recognizing that Endpoint Engineering work has broad impact and multiple internal “customers.” Partner with Security, vendors, and internal IT teams to execute endpoint projects and platform improvements. Contribute to committing roadmaps and delivery processes in areas including endpoint modernization and least privileged access improvements. Required Skills & Qualifications Demonstrated experience leading endpoint administration/engineering work in an enterprise environment. Strong troubleshooting capability across endpoint policy/configuration, deployment workflows, and large-scale endpoint operational issues. Proven ability to document processes, develop operational standards, and improve systems through being initiative-taking instead of reactive. Strong collaboration and communication skills, including the ability to work effectively across IT Ops and Security stakeholders. Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify. Benefit Highlights: Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Relativity is committed to competitive, fair, and equitable compensation practices This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: 208 000 and 312 000PLN The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

🏢 Summary: Leadership role for a Lead Backend Engineer to build and evolve an API-first, event-driven payments platform based on microservices deployed to Kubernetes/AWS. The position combines hands-on development in Java with technical ownership of architecture, API design, and distributed systems reliability. The platform focuses on scalable, observable and idempotent payment processing with strong API gateway integration. 🗂️ Requirements: Minimum 8 years backend development experience, Minimum 5 years experience as development team lead, Strong experience building microservices in Java and/or Python, Solid understanding of event-driven architecture and Kafka, Experience with reactive patterns and idempotency, Strong knowledge of relational databases and PostgreSQL, Experience with SQL, data modelling and migrations (Flyway), Hands-on experience deploying to Kubernetes (preferably EKS), Experience with AWS services, API Gateway experience (authentication, routing, rate limiting), Experience with CI/CD pipelines and GitOps, Experience troubleshooting distributed systems, Understanding of payments engineering (transaction lifecycle, settlement, reconciliation), Experience working in Scrum and sprint-based delivery 📃 Skills: Java, Python, Kubernetes, EKS, AWS, Kafka, PostgreSQL, SQL, Flyway, GitLab, FluxCD, GitOps, CICD, Mulesoft, Terraform, Dynatrace, Datadog, NewRelic, OpenTelemetry, XRay, CloudWatch, Scrum 🏢 Description: About the company Autopay Global is the newest member of the Autopay family, aiming to expand the reach of the group’s state-of-the-art payment integration and payment data technologies to the international market, providing seamless integration with local PSPs, support for multiple currencies and compliance with local frameworks. We have a very forward-looking approach to our products, we value creativity, passion and drive to leverage the newest achievements in technology to our advantage. To support our dynamic expansion, we are looking for a new Lead Backend Engineer. About the role Lead Backend Engineer is a leader of a team of engineers working on delivering the Autopay Payments Platform as an API-first platform, consisting of Merchant APIs and PSP/Rail APIs, fronted by an API gateway and backed by event-driven microservices on Kubernetes/AWS. The Platform is aiming to be Agentic-Ready – its APIs and events can be safely consumed by automations and agents at scale – contract-first, deterministic, idempotent, observable and fast. The role merges team supervision with hands-on duties so it requires both software development experience as well as interpersonal and management skills. Your primary duties will be to: c ommunicate with business stakeholders to make sure the product requirements are clearly understood and deliverable, work with other team leaders on alignment with architecture, infrastructure and data management guidelines, support the members of your team with your expertise and insight when dealing with their current workload, review the work of your team members to ensure a reliable delivery of features in two-week sprints, create, document, explain and enforce best coding practices and patterns, o nboard new team members and ensure a frictionless introduction to the project. Get involved in designing, coding, testing, fine-tuning and shipping the elements of the Autopay Payments Platform, taking into consideration the following aspects: containerization of microservices, event-driven architecture and reactive patterns, replay handling, idempotency, retry and ordering strategies, API-Gateway compatibility for authentication, authorization, rate limiting, and traceability, performance optimization, caching and connection pooling, relational schema design, migration, maintenance and tunin, deployment to Kubernetes clusters, observability with alignment to central monitoring stacks. What tools will you be working with? technologies: Java, Kubernetes, Kafka, PostgreSQL, AWS nice to have: k nowledge of Python programming language and tooling, experience with stack observability platforms such as Dynatrace, Datadog or New Relic, familiarity with Mulesoft Anypoint Platform will be a great advantage, understanding of IaC solutions with focus on Terraform If any technical concepts are unfamiliar to you, don’t worry. We will be happy to support you and teach you everything you need. Requirements and skills we are looking for in the person hired for this role: minimum 8 years of experience as a backend developer, minimum 5 years of experience on a development team lead position or equivalent, exposure to payments engineering – understanding of transaction lifecycle, settlement and reconciliation concepts, strong leadership qualities and interpersonal skills, ability to understand existing code for review purposes, proven backend engineering track record building microservices in Java and/or Python solid understanding of event-driven architecture, queues and topics (Kafka), reactive programming patterns with at-least-once semantics and idempotency, solid understanding of relational databases (preferably PostgreSQL), data modelling, modern SQL, migrations (preferably Flyway) and performance optimization, strong experience with deploying applications to Kubernetes clusters (preferably EKS other AWS tooling like X-Ray/ CloudWatch and/or OpenTelemetry), familiarity with GitOps practices and working with CI/CD pipelines (preferably Gitlab and FluxCD), API Gateway experience, including policies, routing, versioning, authentication and rate limiting, solid experience with troubleshooting in distributed environments; setting up tooling to support debugging, performance metrics etc., proven track record of participation in Scrum projects and ability to work in sprints, growth mindset and ability to apply new technologies, patterns or solutions to the current workstream (i.e. GenAI-assisted coding) What do we offer? leadership role in a fast-growing, global fintech company, possibility to work with cutting-edge tools and technologies, independence in decision-making, friendly working environment, team support, no dress code. Join us and let's head together where no one has gone before! !

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions in a TSL environment. The position bridges business needs and technical implementation, owning backlog, architecture alignment, and production releases. Requires driving agile squads and ensuring secure, scalable, and compliant AI deployments. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Experience with backlog management and delivery flow, Working knowledge of AI, ML, LLM or RAG solutions, Understanding of software architecture, APIs and system integrations, Knowledge of AI governance, security and data privacy principles, Experience translating business needs into technical requirements, Experience working with cross-functional enterprise teams, Fluent Business English, Working knowledge of Jira, Confluence and MS Office 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Integrations, Security, Compliance, DataPrivacy, Agile, Scrum, Backlog, Jira, Confluence, MSOffice 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead / Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Full-time Delivery/Product Lead role focused on driving end-to-end delivery of AI solutions in a hybrid model in Warsaw. The position bridges business needs with technical implementation, leading agile squads from discovery to production while ensuring architectural, security, and governance standards. The assignment runs until the end of 2026 under a B2B contract. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics or related field, 10+ years of experience in agile product or software delivery, Proven experience in backlog management and delivery flow, Working knowledge of AI, ML, LLM or RAG solutions, Understanding of software architecture and system integrations, Knowledge of APIs and technical integrations, Familiarity with AI governance, security and data privacy principles, Experience leading cross-functional technical teams, Fluent Business English, Working knowledge of Jira and Confluence 📃 Skills: AI, ML, LLM, RAG, Architecture, APIs, Integrations, Agile, Scrum, Backlog, Jira, Confluence, Security, Compliance, DataPrivacy, MSOffice 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Full-time B2B Delivery/Product Lead role focused on leading end-to-end delivery of AI solutions in a hybrid model (Warsaw). The position bridges business needs and technical implementation, owning backlog, architecture alignment, and production release. The goal is to ensure scalable, secure, and value-driven AI deployments across enterprise initiatives. 🗂️ Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or related field, 10+ years of experience in agile product or software delivery, Strong experience in backlog management and delivery flow, Working knowledge of AI/ML/LLM/RAG solutions, Understanding of software architecture, APIs, and system integrations, Knowledge of AI governance, security, and data privacy principles, Experience translating business requirements into technical scope and backlog, Experience leading technical delivery from discovery to production, Fluent English (written and spoken), Working knowledge of Jira, Confluence, and MS Office 📃 Skills: AI, ML, LLM, RAG, APIs, Architecture, Integration, Security, Compliance, DataPrivacy, Governance, Agile, Backlog, Jira, Confluence, MSOffice, Monitoring 🏢 Description: PROJECT INFORMATION: Role: Delivery Lead/Product Lead Industry: TSL Work model: hybrid, 3 days/week on-site from Mokotów, Warsaw FTE: full-time Project language: English Project length: 15.06-31.12.2026 Assignment type: B2B Summary: The Product Lead role focuses on bridging business needs and technical capabilities to deliver AI solutions. The primary objective is to ensure that these solutions are effectively implemented, aligned with business objectives, and contribute to value creation for the organization. Main Responsibilities: Identify, assess, and shape demand for AI solutions across internal and external customers. Translate business needs into technical scope, requirements, and backlog items. Lead technical delivery from discovery through production release. Own backlog, refinement, sprint readiness, and delivery flow. Coordinate forward deploy engineers, data scientists, developers, QA, and platform teams. Make technical delivery decisions and manage dependencies. Ensure architecture, security, compliance, and operational standards are met. Implement AI controls such as monitoring and human oversight. Track delivery progress, support go-live, and follow up on value realization. Promote standardization and scalable implementation patterns across initiatives. Lead squads assigned for development and maintenance tasks using agile methodologies. Key Requirements: Bachelor’s degree in IT, Computer Science, Data Science, Business Informatics, or a related field. 10+ years of a proven experience in agile product or software delivery. Strong understanding of backlog management and delivery flow. Working knowledge of AI / ML / LLM / RAG solutions. Understanding of software architecture, APIs, and integrations. Familiarity with AI governance, security, and data privacy principles. Ability to translate business needs into technical implementation plans. Team player with excellent communication skills. Flexible thinker able to operate in a dynamic environment. Experience in cross-functional enterprise teams. Fluent in Business English (written and spoken). Working knowledge of Jira / Confluence and MS Office. Nice to Have: Experience with enterprise systems, integrations, or digital platforms. Experience in AI, automation, analytics, or data-driven solutions is preferred. Experience managing dependencies, risks, and delivery timelines. Experience in logistics or large-scale corporate environments is advantageous.

🏢 Summary: Technical leadership role focused on designing and developing high-availability transactional systems in the electronic payments domain. The position combines hands-on Java development with ownership of architecture, technical standards, and system quality across the product lifecycle. The Tech Lead drives architectural decisions, ensures engineering best practices, and leads a small team of engineers. 🗂️ Requirements: Minimum 6 years of software development experience, At least 2–3 years of experience as Tech Lead or leading architectural initiatives, Strong expertise in Java 17+ and Spring Boot in production systems, Experience designing distributed high-availability systems, Strong knowledge of PostgreSQL including data modeling and query optimization, Experience with messaging systems such as Apache Kafka or ActiveMQ, Practical experience with Docker and Kubernetes, Experience with hexagonal architecture, Experience working with CI/CD pipelines, Experience with Scrum or Kanban methodologies, English level B2 or higher 📃 Skills: Java, Spring, SpringBoot, PostgreSQL, Kafka, ActiveMQ, Docker, Kubernetes, WildFly, GitLab, CI/CD, Dynatrace, Grafana, Prometheus, OpenTelemetry, Jira, Confluence, SonarQube, CQRS, EventSourcing, Saga, DDD 🏢 Description: O firmie Autopay to firma technologiczna w obszarze płatności elektronicznych. Budujemy systemy, które muszą działać — niezawodnie, bezpiecznie i w skali. Decyzje techniczne podejmują inżynierowie: jeśli masz dobry argument, zostanie wysłuchany. Opis roli Tech Lead to rola techniczna, która raportuje do Engineering Managera (tak jak pozostałe osoby w zespole). Jesteś przede wszystkim inżynierem, który aktywnie tworzy kod i jednocześnie wyznacza kierunek techniczny produktu. Twoja siła to głęboka wiedza domenowo-techniczna , zdolność do podejmowania decyzji architektonicznych i umiejętność przekonywania do swojej wizji, zarówno wewnątrz zespołu, jak i w szerszym kontekście organizacyjnym. Chcesz być częścią zespołu, który nie boi się wyzwań i zawsze myśli nieszablonowo? Dołącz do nas. Twoje zadania będą obejmować: Ownership rozwiązania i architektury: posiadasz wizję techniczną produktu i bierzesz za nią odpowiedzialność - od koncepcji po wdrożenie produkcyjne , prowadzisz dyskusje architektoniczne i techniczne w zespole; masz głos ostateczny w kwestiach technicznych w ramach swojego obszaru , uzgadniasz kierunek rozwoju architektury z innymi Tech Leadami wszędzie tam, gdzie zmiany dotykają więcej niż jednego zespołu , reprezentujesz zespół jako ekspert techniczny w firmowych dyskusjach, grupach roboczych i inicjatywach cross- teamowych. Jakość i standardy jesteś strażnikiem konwencji, standardów i dobrych praktyk - nie tylko w kodzie, ale też w procesach developerskich, wdrożeniowych i utrzymaniowych , egzekwujesz przyjęte standardy w zespole: code review , definicja DoD , procesy CI/CD, monitoring i obserwowalność , identyfikujesz i eliminujesz dług techniczny; inicjujesz działania poprawiające jakość i stabilność systemów. Dekompozycja i planowanie techniczne odpowiadasz za całościowy podział zagadnień biznesowych na zadania techniczne — zapewniasz ich poprawność i kompletność , współpracujesz z Product Managerem przy refinemencie i szacowaniu zadań; przekładasz cele biznesowe na konkretne decyzje implementacyjne , współpracujesz z Engineering Managerem pomagając mu lepiej rozumieć zespół i identyfikować jego potrzeby, identyfikujesz ryzyka techniczne i zależności między zadaniami na wczesnym etapie planowania. Codzienna praca techniczna aktywnie tworzysz kod - uczestniczysz w implementacji razem z zespołem, nie tylko recenzujesz, projektujesz i wdrażasz systemy transakcyjne wysokiej przepustowości i dostępności, integracje z bankami i partnerami finansowymi , rozwiązujesz najtrudniejsze problemy techniczne i jesteś pierwszą linią eskalacji w incydentach produkcyjnych o charakterze architektonicznym, prowadzisz techniczne zespół 3-4 inżynierów. Stack technologiczny: Java 17+, Spring Boot, PostgreSQL, Apache Kafka, Kubernetes/Docker, WildFly, GitLab CI/CD, Dynatrace/Grafana. Wymagania i umiejętności, których szukamy u osoby zatrudnionej w tej roli: min. 6 lat doświadczenia w wytwarzaniu oprogramowania, w tym co najmniej 2–3 lata w roli Tech Leada lub w samodzielnym prowadzeniu inicjatyw architektonicznych, głęboka znajomość ekosystemu Java (Java 17+, Spring Boot , Spring Framework) potwierdzona pracą z systemami produkcyjnymi, udokumentowane doświadczenie w projektowaniu systemów rozproszonych wysokiej dostępności, znajomość relacyjnych baz danych ( PostgreSQL ) - modelowanie, optymalizacja zapytań, tuning przy dużych wolumenach, doświadczenie z systemami kolejkowymi (Apache Kafka, ActiveMQ lub podobne), praktyczna znajomość konteneryzacji i orkiestracji (Docker, Kubernetes ), doświadczenie w rozwijaniu aplikacji w architekturze heksagonalnej, umiejętność jasnego komunikowania decyzji technicznych - zarówno w dyskusjach z inżynierami, jak i w kontekście biznesowym, doświadczenie z pracą zwinną ( Scrum / Kanban ) i narzędziami: Jira , Confluence , GitLab, dobra znajomość języka angielskiego (B2+). Mile widziane: doświadczenie w branży FinTech , płatności elektronicznych lub systemach finansowych , znajomość WildFly / JBoss lub innych enterprise application serverów, doświadczenie z narzędziami obserwowalności ( Dynatrace , Grafana , Prometheus , OpenTelemetry ), znajomość wzorców architektonicznych: CQRS, Event Sourcing , Saga, DDD, doświadczenie z narzędziami do automatyzacji jakości kodu ( SonarQube , CodeRabbit lub podobne). Co oferujemy? elastyczne godziny pracy, samodzielność i odpowiedzialność za powierzone zadania, współpracę i udział w unikalnych projektach, możliwości rozwoju, przyjazna atmosfera pracy, wsparcie zespołu, brak dress code'u, dostęp do nowoczesnych narzędzi i technologii. Jeśli to brzmi jak praca, którą chcesz wykonywać — aplikuj!

🏢 Summary: Technical Tech Lead role focused on designing, building and evolving high‑throughput, highly available transactional systems in the electronic payments domain. The position combines hands‑on Java development with architectural ownership, technical decision‑making and leading a small team of engineers. You drive architecture, quality standards and CI/CD processes from concept to production. 🗂️ Requirements: Minimum 6 years in software development, 2–3 years as Tech Lead or leading architectural initiatives, Strong expertise in Java 17+ and Spring ecosystem, Experience designing high‑availability distributed systems, Proven work with PostgreSQL including modeling and query optimization, Experience with messaging systems such as Kafka or ActiveMQ, Practical experience with Docker and Kubernetes, Experience with hexagonal architecture, Experience with CI/CD pipelines, Experience working with Jira, Confluence and GitLab 📃 Skills: Java, Spring, SpringBoot, PostgreSQL, Kafka, ActiveMQ, Docker, Kubernetes, WildFly, GitLab, CICD, Dynatrace, Grafana, Prometheus, OpenTelemetry, Jira, Confluence, Scrum, Kanban, SonarQube, CodeRabbit, CQRS, Saga, DDD 🏢 Description: O firmie Autopay to firma technologiczna w obszarze płatności elektronicznych. Budujemy systemy, które muszą działać — niezawodnie, bezpiecznie i w skali. Decyzje techniczne podejmują inżynierowie: jeśli masz dobry argument, zostanie wysłuchany. Opis roli Tech Lead to rola techniczna, która raportuje do Engineering Managera (tak jak pozostałe osoby w zespole). Jesteś przede wszystkim inżynierem, który aktywnie tworzy kod i jednocześnie wyznacza kierunek techniczny produktu. Twoja siła to głęboka wiedza domenowo-techniczna , zdolność do podejmowania decyzji architektonicznych i umiejętność przekonywania do swojej wizji, zarówno wewnątrz zespołu, jak i w szerszym kontekście organizacyjnym. Chcesz być częścią zespołu, który nie boi się wyzwań i zawsze myśli nieszablonowo? Dołącz do nas. Twoje zadania będą obejmować: Ownership rozwiązania i architektury: posiadasz wizję techniczną produktu i bierzesz za nią odpowiedzialność - od koncepcji po wdrożenie produkcyjne , prowadzisz dyskusje architektoniczne i techniczne w zespole; masz głos ostateczny w kwestiach technicznych w ramach swojego obszaru , uzgadniasz kierunek rozwoju architektury z innymi Tech Leadami wszędzie tam, gdzie zmiany dotykają więcej niż jednego zespołu , reprezentujesz zespół jako ekspert techniczny w firmowych dyskusjach, grupach roboczych i inicjatywach cross- teamowych. Jakość i standardy jesteś strażnikiem konwencji, standardów i dobrych praktyk - nie tylko w kodzie, ale też w procesach developerskich, wdrożeniowych i utrzymaniowych , egzekwujesz przyjęte standardy w zespole: code review , definicja DoD , procesy CI/CD, monitoring i obserwowalność , identyfikujesz i eliminujesz dług techniczny; inicjujesz działania poprawiające jakość i stabilność systemów. Dekompozycja i planowanie techniczne odpowiadasz za całościowy podział zagadnień biznesowych na zadania techniczne — zapewniasz ich poprawność i kompletność , współpracujesz z Product Managerem przy refinemencie i szacowaniu zadań; przekładasz cele biznesowe na konkretne decyzje implementacyjne , współpracujesz z Engineering Managerem pomagając mu lepiej rozumieć zespół i identyfikować jego potrzeby, identyfikujesz ryzyka techniczne i zależności między zadaniami na wczesnym etapie planowania. Codzienna praca techniczna aktywnie tworzysz kod - uczestniczysz w implementacji razem z zespołem, nie tylko recenzujesz, projektujesz i wdrażasz systemy transakcyjne wysokiej przepustowości i dostępności, integracje z bankami i partnerami finansowymi , rozwiązujesz najtrudniejsze problemy techniczne i jesteś pierwszą linią eskalacji w incydentach produkcyjnych o charakterze architektonicznym, prowadzisz techniczne zespół 3-4 inżynierów. Stack technologiczny: Java 17+, Spring Boot, PostgreSQL, Apache Kafka, Kubernetes/Docker, WildFly, GitLab CI/CD, Dynatrace/Grafana. Wymagania i umiejętności, których szukamy u osoby zatrudnionej w tej roli: min. 6 lat doświadczenia w wytwarzaniu oprogramowania, w tym co najmniej 2–3 lata w roli Tech Leada lub w samodzielnym prowadzeniu inicjatyw architektonicznych, głęboka znajomość ekosystemu Java (Java 17+, Spring Boot , Spring Framework) potwierdzona pracą z systemami produkcyjnymi, udokumentowane doświadczenie w projektowaniu systemów rozproszonych wysokiej dostępności, znajomość relacyjnych baz danych ( PostgreSQL ) - modelowanie, optymalizacja zapytań, tuning przy dużych wolumenach, doświadczenie z systemami kolejkowymi (Apache Kafka, ActiveMQ lub podobne), praktyczna znajomość konteneryzacji i orkiestracji (Docker, Kubernetes ), doświadczenie w rozwijaniu aplikacji w architekturze heksagonalnej, umiejętność jasnego komunikowania decyzji technicznych - zarówno w dyskusjach z inżynierami, jak i w kontekście biznesowym, doświadczenie z pracą zwinną ( Scrum / Kanban ) i narzędziami: Jira , Confluence , GitLab, dobra znajomość języka angielskiego (B2+). Mile widziane: doświadczenie w branży FinTech , płatności elektronicznych lub systemach finansowych , znajomość WildFly / JBoss lub innych enterprise application serverów, doświadczenie z narzędziami obserwowalności ( Dynatrace , Grafana , Prometheus , OpenTelemetry ), znajomość wzorców architektonicznych: CQRS, Event Sourcing , Saga, DDD, doświadczenie z narzędziami do automatyzacji jakości kodu ( SonarQube , CodeRabbit lub podobne). Co oferujemy? elastyczne godziny pracy, samodzielność i odpowiedzialność za powierzone zadania, współpracę i udział w unikalnych projektach, możliwości rozwoju, przyjazna atmosfera pracy, wsparcie zespołu, brak dress code'u, dostęp do nowoczesnych narzędzi i technologii. Jeśli to brzmi jak praca, którą chcesz wykonywać — aplikuj!

🏢 Summary: Lead Full Stack Engineer role focused on rebuilding and evolving an auto repossession and remarketing platform with end-to-end ownership. The position emphasizes AI-first engineering, integrating LLMs and GenAI tools to improve system quality and developer productivity. You will design, build, and operate scalable production systems while shaping architecture and technical direction. 🗂️ Requirements: 7+ years of software engineering experience in a Lead role, Strong experience with TypeScript, Strong experience with React and Next.js, Strong experience with .NET Core / modern .NET, Strong experience with C#, Experience building and operating production systems, Strong system design and architectural skills, Experience integrating AI and Generative AI into engineering workflows, Experience with testing, performance optimization, and clean code practices, Availability to work Canadian time zone hours 📃 Skills: TypeScript, React, Next.js, .NET, C#, GenAI, LLMs, AI, DevOps, Architecture, Testing, Performance 🏢 Description: (#5202) Canadian time zone work hours. About the client: Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead Full Stack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers. About the role: We’re looking for a Lead Full Stack Software Engineer who takes end-to-end ownership, thrives in ambiguity, and wants to build systems that matter. This role is central to rethinking and rebuilding our clients’ auto repossession and remarketing platform, a system that directly influences how vehicles are recovered, processed, and remarketed across the big automotive ecosystem. This is an AI-first engineering role—not in name, but in practice. You’ll continuously evaluate where AI (including LLMs and agentic tools) can meaningfully improve engineering velocity, system quality, and operational efficiency, while applying strong judgment about where it should not be used. You’ll help shape architecture, influence technical direction, and own what you build—from design to production. Responsibilities: Build and Evolve Critical Systems. Rethink and reshape core workflows based on a deep understanding of auto repossession and remarketing processes. Design and implement scalable, resilient systems using modern architectural principles: clear service boundaries, modularity, and observability. Incorporate LLMs and AI-driven components to improve data validation, document processing, and operational decision-making. Use AI-assisted and agentic coding tools to accelerate development—while maintaining high standards for correctness, security, and maintainability. Own Architecture & Technical Decisions. Drive architectural discussions and decisions, balancing pragmatism with technical excellence. Set and enforce high-quality bars for new services and modules, with a focus on testability, performance, and reliability. Identify and reduce technical debt in ways that measurably improve developer velocity and system robustness. Build With an Ownership Mindset Work across the full software lifecycle: design, build, deploy, operate, and iterate. Embrace a “you build it, you own it” DevOps mindset alongside your team. Make thoughtful trade-offs between effort, quality, and user value—always with accountability for outcomes. Work closely with product managers, designers, and other engineers in an agile, cross-functional team. Contribute ideas, challenge assumptions, and continuously improve how we build software. Mentor and support other engineers through code reviews, design discussions, and technical leadership. Requirements: A Lead (7+ years of experience) engineer who owns results, not just implementations. Someone who enjoys complex problem-solving and isn’t afraid of legacy systems—or changing them. Strong engineering fundamentals: clean code, testing discipline, system design, and performance awareness. Strong experience with TypeScript and modern React / Next.js Strong experience building production systems with .NET (Core / modern .NET preferred). Strong experience building production systems with C# Comfort operating in production environments and learning from real-world feedback. A builder’s mindset: If you can think it, you can build it. If you build it, you own it. Strong must: experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. You should demonstrate the ability to integrate AI-driven solutions into your daily work — such as code generation, debugging, reviews, documentation, and decision support—to improve efficiency for yourself and your teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued Canadian time zone work hours 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

🏢 Summary: Full Stack Technical Lead role focused on leading an engineering team delivering cloud-native digital insurance products. The position combines hands-on backend and frontend development with ownership of application architecture, API design, and technical standards. You will drive technical direction, ensure delivery quality, and collaborate closely with product, platform engineering, and business stakeholders. 🗂️ Requirements: 7+ years professional software engineering experience, Minimum 2 years in a technical leadership role, Strong backend development experience in Java and Spring Boot or equivalent, Frontend development experience in React or equivalent, Experience designing microservices architectures and REST APIs at production scale, Understanding of distributed system patterns, Experience designing services for Kubernetes environments, Familiarity with CI/CD and GitOps deployment models, Experience leading Agile sprint delivery and technical scoping, Experience in regulated industries such as insurance, finance, or healthcare 📃 Skills: Java, Spring, SpringBoot, React, Microservices, REST, Kubernetes, CI/CD, GitOps, Kafka, Azure, API, Docker 🏢 Description: About Webellian Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for our clients. We strive to make a meaningful difference in diverse sectors such as insurance, banking, healthcare, retail, and manufacturing. Our passion for cutting-edge and disruptive technologies, as well as our shared values and strong principles, are what motivate us. We are a community of engineers and senior advisors who work with our clients across industries, playing a deep and meaningful role in accelerating and realizing their vision and strategy. About the position As a Full Stack Technical Lead you will lead an engineering team building digital insurance products and services. You are the technical authority for your team: you own the application architecture, set the engineering standards, and are responsible for the quality of everything the team ships. You will work within a cloud-native engineering environment where CI/CD pipelines, containerisation standards, and deployment tooling are provided centrally. Your role is to lead the application layer (service design, API architecture, and team delivery), not to own infrastructure. You are the primary technical interface between your product team and the central platform engineering function, and between engineering and the wider product and business stakeholders. This is a hands-on technical leadership role. You will be expected to remain close to the code while carrying the responsibility for the team's technical direction and delivery quality. Key responsibilities: Architecture and Technical Direction Own the application architecture for your product: service decomposition, API design, data models, event schemas, and integration patterns with core insurance systems. Make architectural decisions that are durable, well-reasoned, and clearly communicated to the team and stakeholders. Identify and manage technical debt: prioritise pragmatically, document trade-offs, and schedule remediation in delivery planning. Define technical standards for the team (coding conventions, testing practices, API versioning, observability instrumentation) and hold the team to them. Work within the deployment and containerisation standards provided by the central engineering platform; raise and influence changes to those standards through the appropriate channels. Delivery Leadership Translate business and product requirements into technical designs; lead estimation and scope definition. Identify and communicate technical risk early; propose mitigations and make trade-offs transparent to the Product Owner. Collaborate with the Product Owner on sprint planning to ensure technical work is appropriately sized, dependency-mapped, and sequenced. Represent engineering in architecture reviews, sprint reviews, and stakeholder discussions. Interface with the central platform engineering team on technical questions, onboarding requirements, and issue escalations. Team and Code Quality Own the code review process: set the bar, lead by example, and ensure reviews are substantive and timely. Mentor mid-level and senior engineers: support their technical growth through pairing, design discussion, and structured feedback. Build a team culture of ownership, quality, and continuous improvement; facilitate retrospective follow-through on engineering practices. Onboard new engineers to the codebase, standards, and ways of working. Collaboration Collaborate with frontend Tech Leads and other domain teams on cross-cutting API contracts and shared integration points. Work with the Product Owner on roadmap planning: provide clear technical input on feasibility, effort, and sequencing. Communicate clearly across technical and non-technical stakeholders; translate engineering complexity into business-relevant language. Required Experience & Skills 7+ years of professional software engineering experience, with at least 2 years in a technical leadership role (Tech Lead, Principal Engineer, or equivalent). Deep backend development experience: Java (Spring Boot) or equivalent, able to review, design and contribute to production code. Frontend experience: React or equivalent, able to review and contribute to production code. Capable of participating meaningfully in cross-functional technical discussions spanning frontend, BFF, and backend layers. Microservices architecture: service boundary design, API design and versioning, distributed system patterns (eventual consistency, idempotency, retry strategies). REST API design at production scale: resource modelling, contract versioning, backward compatibility, error handling conventions. Kubernetes-aware service design: designing services to run well in Kubernetes (readiness/liveness probes, graceful shutdown, resource requests, horizontal scaling). You do not need to operate the cluster. CI/CD and GitOps familiarity: understanding of pipeline-based and pull-based deployment models; able to work within and influence deployment standards. Agile delivery leadership: experience leading a team through sprint delivery, dependency management, and technical scoping in a product-led environment. Regulated industry experience: insurance, finance, or healthcare. Understands the implications of audit logging, data residency, access control, and compliance requirements on engineering decisions. Strong communicator: able to lead technical discussions, document architectural decisions clearly, and represent engineering credibly to non-technical audiences. Ways of Working Leads by example: stays close to the code and models the quality and rigour expected from the team. Collaborative and direct: shares context freely, gives clear feedback, and creates an environment where engineers can raise concerns and propose improvements. Pragmatic: balances technical correctness with delivery reality; makes trade-offs explicitly rather than silently. Comfortable with ambiguity: can scope and lead work in areas where requirements are still forming, and knows how to structure discovery to reduce uncertainty. Proactive learner: keeps up with backend and cloud-native ecosystem developments; comfortable adopting AI-assisted developer tools (e.g. GitHub Copilot, Claude Code) to improve team productivity. Nice to Have Insurance or financial services domain knowledge: understanding of claims, policy, or payment workflows. Experience integrating AI or ML services into production business logic: consuming model outputs, handling confidence thresholds, building human-in-the-loop workflows. Event-driven architecture experience: Kafka or equivalent at production scale. Cloud certifications: AZ-204 (Azure Developer), AZ-305 (Azure Solutions Architect), or equivalent. Experience leading distributed or multi-vendor engineering teams. What we offer Contract under Polish law: B2B or Umowa o Pracę Benefits such as private medical care, group insurance, Multisport card Hybrid work (at least 1 day per 2 or 3 months on-site) in Warsaw (Mokotów) Opportunity to work with excellent professionals High standards of work and focus on the quality of code New technologies in use Continuously learning and growth International team Pinball, PlayStation & much more (on-site) Join a growing team of dedicated professionals! We love to pass on the knowledge to grow excellence, speak our minds without playing politics, and just enjoy hanging around together. If you share our passions - we want to meet you! So go ahead and apply ➡️