April 9, 2026
Senior Backend Engineer
Senior • Hybrid
26,000 - 30,000 PLN
Warsaw, Poland
We are looking for a Senior Backend Engineer to join a fast-growing product organization working on consumer-facing platforms and internal data systems. This role is suited for an experienced backend engineer who is comfortable building scalable, reliable services across different domains, from customer-facing journeys to data privacy and compliance infrastructure.
About the Project:
You will contribute to backend systems that power core customer experiences and internal platform initiatives. Depending on the team, this includes scaling a menu and personalization platform for high-traffic consumer applications, or building a centralized Data Privacy Service handling regulatory compliance (GDPR, CCPA) and Data Subject Requests at scale. Both streams require strong engineering fundamentals, a microservices mindset, and the ability to deliver in complex, distributed environments.
Responsibilities:
Design, develop, and maintain scalable backend microservices across consumer or data platform domains;
Build systems supporting search, personalization, customer targeting, and engagement;
Develop and operate services ensuring regulatory compliance and secure data handling (GDPR, CCPA);
Work with event-driven architectures and distributed systems;
Contribute to CI/CD pipelines, testing practices, and overall engineering quality;
Collaborate with product and engineering teams to deliver reliable and performant solutions.
Qualifications:
Strong commercial experience with JVM-based languages (Java, Scala, or similar);
Experience with Kotlin, or willingness to learn it on the project;
Solid understanding of microservices architecture and event-driven systems;
Experience with Docker and Kubernetes;
Hands-on CI/CD experience in a production environment;
Experience with unit and integration testing;
Familiarity with relational databases (e.g. PostgreSQL) and SQL;
AWS and Terraform experience is a plus;
Experience with Elasticsearch, MongoDB, or GraphQL is a plus;
Go or Python knowledge is a nice to have;
Background in e-commerce, subscription platforms, or data privacy systems is a plus.
Recruitment Process:
Initial interview with our recruitment team;
Interview with the hiring manager;
Live Coding Assessment;
Meeting with the Project Manager.
Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.
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23,000 - 30,000 PLN/mo
🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .
Technology
emagine Polska
Senior Backend Test Automation Engineer with Scala and Java
Senior
Hybrid
Kraków, Poland
190 - 200 PLN/hr
🏢 Summary: Senior Backend Test Automation Engineer role focused on testing backend microservices and distributed data platforms in a global technology environment. The position involves integration testing, ETL/data pipeline validation, and automated test execution using JVM-based technologies and Apache Spark. Hybrid work model based in Krakow with onboarding in Sweden and collaboration in English. 🗂️ Requirements: Strong experience testing backend microservices, Hands-on experience with integration testing across distributed systems, Experience with Play Framework or JVM-based backend services in Java/Scala, Good understanding of Apache Spark, Experience testing ETL and data processing workflows, Ability to manage test data and deterministic test environments, Experience with CI/CD and automated test execution, Ability to debug failures across services, databases, queues, and pipelines, English proficiency, Availability for hybrid work in Krakow 📃 Skills: Java, Scala, Play, Spark, SQL, ScalaTest, JUnit, Testcontainers, Docker, Kubernetes, GitHub, Jenkins, Azure, CI/CD, ETL 🏢 Description: We are looking for the Senior Backend Test Automation Engineer with strong data platform experience :) Industry: Technology solutions - consumer electronics, software, streaming Client: global enterprise, Swedish entity Work model: full time, hybrid 3 days/week on-site from Krakow (Equal Business Park) office Project language: English Onboarding : 3 days in Malmo, Sweden Start: ASAP or 1 week notice ideally / at latest start 27th July 2026 Assignment type: B2B Remuneration: up to 200 PLN/h net + VAT FTE: full-time Strong experience testing backend microservices rather than web UIs. Hands-on experience with integration testing across distributed systems. Experience with Play Framework (or at least JVM-based backend services in Java/Scala). Good understanding of Apache Spark and testing data pipelines. Experience validating ETL/data processing workflows. Comfortable managing test data, data dependencies, and deterministic test environments. Experience with CI/CD and automated test execution. Ability to debug failures across multiple services, databases, queues, and pipelines. Likely technical stack includes: Java and/or Scala Play Framework Apache Spark SQL Integration test frameworks (ScalaTest, JUnit, Testcontainers, etc.) Docker/Kubernetes GitHub Actions, Jenkins, Azure DevOps, or similar