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August 8, 2026

Java/Kotlin Software Engineer (Data Tracking)

Senior • Remote

140 - 180 PLN

Lodz, LD, Poland

Join a new engineering team and help standardize how a major digital platform captures and activates user-behaviour data. Support a strategic data-driven initiative focused on standardizing tracking events, improving data quality and enabling marketing and business teams to make better use of behavioural data.

The work extends beyond a single backend service: investigate an extensive product ecosystem, identify event origins, collaborate with system owners, and implement changes across backend, web, and data-platform integrations. The assignment is planned to run until the end of this year.

Quick Facts

  • Tech stack: Java, Kotlin, React, APIs, Segment, event tracking, and customer data platforms

Your everyday playground

  • Improve and standardize tracking events across the product ecosystem.
  • Investigate where particular events are generated and identify the relevant projects, repositories, and system owners.
  • Design and implement backend and API changes using Java and Kotlin.
  • Integrate behavioural data with Segment and the wider data ecosystem.
  • Make necessary adjustments in the React-based web application when required.
  • Raise technical risks, clarify dependencies, and involve other developers when a change requires broader coordination.
  • Move between different repositories and systems while taking ownership of each topic from discovery to delivery.

What are we looking for?

  • Strong commercial experience with Java and Kotlin, with a minimum of 5 years of experience.
  • Experience working with existing systems and navigating multiple repositories or codebases.
  • A proactive discovery mindset to identify where a problem originates, who owns the relevant system, and what context is needed before making a change.
  • Strong communication skills and confidence approaching engineers and stakeholders from other teams.
  • A pragmatic approach to legacy systems and organisational complexity.
  • Basic React knowledge to make necessary adaptations in a web frontend application.
  • Practical use of AI tools to accelerate engineering discovery, implementation, or validation.

Bonus points

  • Experience with Segment or a comparable Customer Data Platform.
  • Experience with event tracking, product analytics, or marketing analytics.
  • Knowledge of event-taxonomy or event-schema design.
  • Experience integrating backend, web, and mobile applications with data or analytics platforms.
  • Understanding of data quality, tracking consistency, and behavioural-data flows.
  • Experience supporting initiatives that span several engineering teams or product areas.

Why join?

  • Contribute to a strategic programme that supports data-driven marketing and future business use cases.
  • Take real engineering ownership, with autonomy to decide how to implement the defined outcome safely and effectively.
  • Work beyond a single repository by investigating systems, mapping dependencies, and collaborating with the people who understand each product area best.

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Warsaw, Poland

🏢 Summary: Staff Engineer role focused on leading the design, evolution, and reliability of a high-scale distributed backend platform that generates and distributes real-time customer offers. The position combines deep hands-on backend engineering with architectural leadership in event-driven systems. It emphasizes scalability, performance, observability, and operational excellence in a complex production environment. 🗂️ Requirements: Experience owning complex backend systems end-to-end in scalable production environments, Proven experience designing and operating distributed systems, Strong backend engineering expertise in Java, Solid understanding of JVM performance, Hands-on experience with Apache Kafka, Hands-on experience with Spring Boot and/or Vert.x, Hands-on experience with Redis, Hands-on experience with OpenSearch or Elasticsearch, Experience with observability tools such as Datadog, Grafana, or Kibana, Strong system design skills in event-driven and asynchronous architectures, Knowledge of concurrency and non-blocking system design, Experience with scalability, resiliency, and fault-tolerance strategies, Experience debugging production incidents in distributed environments 📃 Skills: Java, JVM, Kafka, Spring, Vert.x, Redis, OpenSearch, Elasticsearch, Datadog, Grafana, Kibana, Kubernetes 🏢 Description: ABOUT THE ROLE We are looking for a passionate and highly experienced Staff Backend Engineer to help lead the design, development, reliability, and evolution of a complex distributed backend platform. This role is ideal for someone who enjoys going deep into understanding both the technical and business context behind problems, not just implementing solutions mechanically. We value engineers who are curious, proactive, and driven by learning - people who enjoy experimenting, challenging assumptions, and troubleshooting complex systems until the root cause is fully understood. As a Staff Backend Engineer, you will provide technical leadership across architecture, engineering practices, and platform evolution while remaining hands-on when needed. You will help teams make better technical decisions, raise engineering standards, simplify complex systems, and create solutions that balance business needs with long-term platform health. We're looking for someone who is comfortable working in ambiguity, treats failure as an opportunity to learn, welcomes constructive feedback, and leads through collaboration, ownership, and execution rather than authority. ABOUT YOUR FUTURE PLATFORM TEAM We build and operate a critical backend platform that generates, validates, and distributes customer-facing offers across multiple markets in real time. The system sits at the intersection of pricing, configuration, compliance, and localization - where milliseconds matter, correctness is non-negotiable, and small mistakes can have large-scale impact. Our systems apply complex configuration and licensing rules, handle market and event-level blocking, manage multi-language localization, and transform raw pricing data into customer-ready offers consumed across the ecosystem. We process high-throughput event streams, deal with constantly changing data, and solve problems that require both strong engineering fundamentals and deep domain understanding. Success means no incorrect or missing offers in production, near real-time reflection of pricing and configuration changes, fully compliant offers across jurisdictions, and seamless multi-language experiences for customers. Our ecosystem is built around: Event streaming and backbone: Apache Kafka Backend services: Java 23+ with Spring Boot and Vert.x (we are continuously evolving toward highly reactive, asynchronous, and event-driven architecture) State and performance optimization: Redis Search and analytics: OpenSearch / Elasticsearch Observability and operations: Datadog, Grafana, Kibana Runtime and scalability: Kubernetes-based containerized infrastructure We are actively evolving our platform toward more reactive, asynchronous, and event-driven architectures, making this an exciting environment for engineers who enjoy distributed systems, performance, concurrency, and real-time data processing challenges. WHAT YOU'LL DO Technical Leadership Leading architecture and design discussions for scalable, resilient distributed systems Collaborating with Architects and senior engineers to define solution approaches and evaluate new technologies through spikes and PoCs Improving and simplifying existing system designs while maintaining high engineering standards for performance, correctness, and maintainability Maintaining a strong engineering bar across quality, scalability, and maintainability Platform Reliability & Engineering Excellence Proactively identifying scalability, reliability, and performance risks across the platform Leading debugging and root cause analysis for complex production incidents Improving observability, monitoring, alerting, and operational readiness Driving technical debt reduction and continuous platform improvement Promoting best practices across event-driven systems, resiliency patterns, performance optimization, testing, automation, and CI/CD Team Enablement & Collaboration Supporting day-to-day technical coordination within the team and contributing to incident handling and engineering discussions Mentoring engineers through design reviews, code reviews, and hands-on technical guidance Supporting cross-team collaboration and helping troubleshoot integration and platform issues Encouraging a culture of collaboration, clarity, and shared ownership Actively participating in engineering communication channels and helping unblock others Delivery & Execution Working closely with Product, Engineering Managers, and Architects to translate ideas into executable technical solutions Helping define and break down EPICs and technical initiatives in Jira Driving clarity in ambiguous or complex technical initiative Ensuring alignment between short-term delivery needs and long-term platform evolution WHAT WE'RE LOOKING FOR Required Experience: Experience owning complex backend systems end-to-end in scalable production environments Proven experience designing and operating distributed systems Strong backend engineering expertise in Java, with solid understanding of JVM performance Hands-on experience with: Apache Kafka and event-driven architectures Spring Boot and/or Vert.x Redis for low-latency and stateful use cases OpenSearch / Elasticsearch for querying and analytics Observability tools such as Datadog, Grafana, or Kibana Strong system design skills, including: Event-driven and asynchronous architectures Concurrency and non-blocking system design Scalability, resiliency, and fault-tolerance strategies Evaluating trade-offs between latency, throughput, and consistency Experience debugging production incidents in distributed environments Strong communication skills and ability to influence technical decisions across teams Proactive mindset with strong ownership and accountability Comfortable working in complex, fast-paced engineering environments Collaborative approach and willingness to support and mentor others Nice to Have: Kubernetes and cloud-native infrastructure experience Experience building internal platforms or shared engineering frameworks SRE mindset and operational excellence practices Experience with real-time or high-throughput data systems Experience leading cross-team technical initiatives WHAT SUCCESS LOOKS LIKE Teams rely on you for technical direction and practical problem-solving The platform becomes more reliable, scalable, and easier to operate over time Production incidents decrease due to proactive engineering and improved system design Cross-team dependencies are better coordinated and easier to manage Engineering quality and consistency improve across services and squads Engineers grow technically through your mentorship and guidance WHAT WE OFFER Competitive salary aligned with your experience, expertise, and impact A collaborative, inclusive, and fast-paced engineering environment where ideas are welcomed, ownership is encouraged, and continuous learning is valued Hybrid work policy 4 weeks of Workation (T&C apply) Benefits package - 800 PLN net (B2B)/gross (UOP) monthly with access to the cafeteria platform (private medical care, insurances, sports card) Training budget ICAS assistance program that can provide help and guidance during challenging moments. Our office provides complimentary snacks and drinks; on Mondays, we serve complimentary breakfast. Team and office social events throughout the year Free parking for bicycles and motorcycles Free gym in the building Equipment: MacBook Pro + smartphone (iPhone 16/17 or Samsung Galaxy S25)

Technology

DNA Technology

Ruby on Rails Engineer (Product/Support)

Senior

Remote

Lodz, Poland

130 - 170 PLN

🏢 Summary: Engineering role focused on maintaining and improving a production Ruby on Rails system in a sustainability-focused product. The position involves triaging client requests, resolving full-stack production incidents, and collaborating with Product and Customer teams in a dynamic, ticket-driven environment. It emphasizes system reliability, root-cause analysis, and continuous improvement of support processes. 🗂️ Requirements: 5+ years of Ruby on Rails experience, Strong experience with production systems, Ability to debug and perform root-cause analysis, Full-stack capability (backend, integrations, basic infrastructure), Experience handling incidents and production issues, Ability to work in on-call rotations, Experience with CI/CD pipelines, Experience with cloud infrastructure, Strong understanding of relational databases 📃 Skills: Ruby, Rails, Hotwire, Turbo, AWS, Docker, PostgreSQL, Datadog, GitHub, CI/CD, Jira, Slack 🏢 Description: Do you care about making an impact on sustainability? Help consumers and brands better understand their environmental impact and make better choices for the planet! 🌎 This role sits at the intersection of engineering, product, and client interaction. You will work in a dynamic, ticket-driven environment where priorities shift based on real usage, incidents, and business needs. What you’ll do: Handle and triage incoming client requests (Jira, Slack, calls) Investigate and resolve incidents across the full stack (backend, frontend, integrations) Work on production issues - from quick fixes to deeper root-cause analysis Collaborate with Product and Customer teams to understand and address user needs Implement small improvements and fixes independently Contribute to improving incident handling and support processes Participate in on-call rotations and ensure system reliability Provide technical input on feasibility and impact of client requests Tech stack: Ruby on Rails (monolith) Hotwire / Turbo AWS Docker GitHub Actions (CI/CD) PostgreSQL Datadog What are we looking for? 🎯 5+ years of experience with Ruby on Rails Strong experience working with production systems Excellent debugging and problem-solving skills Ability to work across the stack (backend, integrations, basic infra) Strong ownership and communication skills Comfortable working in a dynamic, reactive environment Nice-to-have: Experience in support / maintenance / -like roles Familiarity with monitoring tools (e.g. Datadog) Experience with AWS What you get: Real impact on system stability and client experience High ownership and autonomy in decision-making Exposure to a wide range of technical challenges Close collaboration with product and client-facing teams Opportunity to deeply understand how the system behaves in production A role suited for engineers who enjoy problem-solving over repetitive feature delivery It is not the best fit if: You are looking for a purely feature-driven role with long-term, predictable roadmaps You get frustrated by frequent context switching or changing priorities You expect a clean, well-structured codebase with minimal technical debt Sounds like a fit? Let’s talk! 🚀