Senior Data Platform Engineer

🏢 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 improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 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 .

🏢 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 .

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Mid and Senior Software Engineers are sought to design and build high-performance backend systems powering global content delivery on a large-scale fitness platform. The role focuses on event-driven microservices, architectural leadership, and ensuring reliability, scalability, and performance for systems used by millions of users. This is a hands-on position with strong ownership in distributed systems operating at scale. 🗂️ Requirements: 4+ years backend experience (Mid) or 6+ years (Senior), Proficiency in Kotlin or Python, Experience with Spring Boot or Python frameworks, Experience with PostgreSQL or MySQL, Experience with DynamoDB or MongoDB, Experience with microservices architecture, Experience with event-driven systems, Experience with Kafka, Knowledge of REST, gRPC, or GraphQL APIs, Experience with AWS services, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Experience with Redis or Memcached, Experience with monitoring and observability tools, Production support and incident management experience 📃 Skills: Kotlin, Python, Java, Go, TypeScript, JavaScript, Spring, REST, gRPC, GraphQL, Kafka, Redis, PostgreSQL, MySQL, DynamoDB, MongoDB, AWS, S3, Lambda, SQS, IAM, Docker, Kubernetes, Terraform, GitHubActions, Jenkins, Datadog, Sentry 🏢 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 Senior and Mid Software Engineers to join the Content Cloud team. In this role, you will design and build high-performance backend systems that power content delivery across a global platform. You will act as a technical leader within the team, driving architectural decisions, mentoring engineers, and ensuring the reliability and scalability of systems used by millions of users. This is a hands-on role with strong ownership and impact on distributed, event-driven systems at scale. Key takeaways: Stack: Kotlin (main codebase). We're open to: Java, Go, TypeScript, JavaScript. Other tools: REST, gRPC, GraphQL, Kafka, Redis, PostgreSQL, MySQL, DynamoDB, MongoDB, AWS, Docker, Kubernetes. Salary: Mid: 21 000 PLN - 23 000 PLN gross on the Contract of Employment Senior: 23 000 PLN - 30 000 PLN gross on the Contract of Employment Working model: Hybrid - 3 days/week from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with recruiter Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Backend Architecture & Scalability Design and build high-performance, scalable backend services and APIs supporting global content delivery Architect event-driven systems and microservices handling large-scale traffic and real-time interactions Drive system design decisions with a focus on reliability, performance, and security Technical Leadership Lead technical discussions, architecture reviews, and design decisions across teams Define and promote reusable patterns, components, and engineering standards Mentor engineers through code reviews, pair programming, and technical guidance Performance & Reliability Identify system bottlenecks using monitoring, tracing, and load testing tools Optimize performance through data modeling, caching strategies, and query improvements Engineering Excellence Champion best practices including CI/CD, automated testing, observability, and infrastructure as code Maintain high standards for code quality, scalability, and maintainability Continuously improve development processes and system architecture Cross-Functional Collaboration Partner closely with Product, Design, and QA to deliver impactful features Translate business requirements into scalable technical solutions Act as a domain expert within the team and contribute to platform-wide initiatives Requirements: Technical Expertise 6+ years of experience building high-performance, scalable backend systems as Senior / 4+ years of experience as a Mid Engineer Strong proficiency in Kotlin, Python, or similar backend languages Experience with modern backend frameworks (e.g., Spring Boot or Python-based frameworks) Strong experience with relational (PostgreSQL, MySQL) and NoSQL databases (DynamoDB, MongoDB) Hands-on experience with microservices and event-driven architectures Experience with distributed streaming platforms such as Kafka Solid understanding of API design (REST, gRPC, or GraphQL) Cloud & Infrastructure Hands-on experience with AWS services (e.g., S3, DynamoDB, Lambda, SQS, IAM) Experience with Docker and Kubernetes Familiarity with infrastructure and deployment tooling (e.g., Terraform, GitHub Actions, Jenkins) Experience with caching systems such as Redis or Memcached Engineering Practices Strong understanding of CI/CD, DevOps, and Agile methodologies Experience with observability and monitoring tools (e.g., Datadog, Sentry) Proven experience in production support and incident management in distributed systems What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.

🏢 Summary: Opportunity for Mid and Senior Software Engineers to design and build high-performance, scalable backend systems powering global content delivery. The role focuses on event-driven, distributed architectures, technical leadership, and ownership of reliability and scalability for systems used by millions of users. It combines hands-on development with architectural decision-making in a cloud-native environment. 🗂️ Requirements: 4+ years (Mid) or 6+ years (Senior) experience in building scalable backend systems, Proficiency in Kotlin, Python or similar backend language, Experience with modern backend frameworks such as Spring Boot, Experience with relational databases (PostgreSQL or MySQL), Experience with NoSQL databases (DynamoDB or MongoDB), Hands-on experience with microservices architecture, Experience with event-driven systems, Experience with Kafka or similar streaming platform, Experience in API design (REST, gRPC or GraphQL), Hands-on experience with AWS services, Experience with Docker and Kubernetes, Experience with CI/CD pipelines and DevOps practices, Experience with monitoring and observability tools, Production support and incident management experience in distributed systems 📃 Skills: Kotlin, Python, Java, Go, TypeScript, JavaScript, Spring, REST, gRPC, GraphQL, Kafka, Redis, PostgreSQL, MySQL, DynamoDB, MongoDB, AWS, Docker, Kubernetes, Terraform, GitHub, Jenkins, Datadog, Sentry 🏢 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 and Mid Software Engineers to join the Content Cloud team . In this role, you will design and build high-performance backend systems that power content delivery across a global platform. You will act as a technical leader within the team, driving architectural decisions, mentoring engineers, and ensuring the reliability and scalability of systems used by millions of users. This is a hands-on role with strong ownership and impact on distributed, event-driven systems at scale. Key takeaways: Stack : Kotlin (main codebase) We're open to: Java/Go/TypeScript/JavaScript, Other tools: REST/gRPC/GraphQL, Kafka, Redis, PostgreSQL/MySQL, DynamoDB/MongoDB, AWS, Docker, Kubernetes Salary : Mid : 21 000 PLN - 23 000 PLN gross on the Contract of Employment Senior: 23 000 PLN - 30 000 PLN gross on the Contract of Employment Working model : Hybrid - 3 days/week from the office Location : ul. Grzybowska 60, Warsaw Recruitment process : A call with MOTIFE Recruiter Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Backend Architecture & Scalability Design and build high-performance, scalable backend services and APIs supporting global content delivery Architect event-driven systems and microservices handling large-scale traffic and real-time interactions Drive system design decisions with a focus on reliability, performance, and security Technical Leadership Lead technical discussions, architecture reviews, and design decisions across teams Define and promote reusable patterns, components, and engineering standards Mentor engineers through code reviews, pair programming, and technical guidance Performance & Reliability Identify system bottlenecks using monitoring, tracing, and load testing tools Optimize performance through data modeling, caching strategies, and query improvements Engineering Excellence Champion best practices including CI/CD, automated testing, observability, and infrastructure as code Maintain high standards for code quality, scalability, and maintainability Continuously improve development processes and system architecture Cross-Functional Collaboration Partner closely with Product, Design, and QA to deliver impactful features Translate business requirements into scalable technical solutions Act as a domain expert within the team and contribute to platform-wide initiatives Requirements: Technical Expertise 6+ years of experience building high-performance, scalable backend systems as Senior/4+ years of experience as a Mid Engineer Strong proficiency in Kotlin, Python, or similar backend languages Experience with modern backend frameworks (e.g., Spring Boot or Python-based frameworks) Strong experience with both relational (PostgreSQL, MySQL) and NoSQL databases (DynamoDB, MongoDB) Hands-on experience with microservices and event-driven architectures Experience with distributed streaming platforms such as Kafka Solid understanding of API design (REST, gRPC, or GraphQL) Cloud & Infrastructure Hands-on experience with AWS services (e.g., S3, DynamoDB, Lambda, SQS, IAM) Experience with Docker and Kubernetes Familiarity with infrastructure and deployment tooling (e.g., Terraform, GitHub Actions, Jenkins) Experience with caching systems such as Redis or Memcached Engineering Practices Strong understanding of CI/CD, DevOps, and Agile methodologies Experience with observability and monitoring tools (e.g., Datadog, Sentry) Proven experience in production support and incident management in distributed systems What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.

🏢 Summary: Senior and Mid Software Engineers to design and build high-performance, scalable backend systems powering global content delivery on a distributed, event-driven platform. The role combines hands-on development with architectural ownership, focusing on reliability, scalability, and performance at scale. Engineers contribute to microservices architecture, streaming systems, and cloud-native infrastructure in a hybrid work model. 🗂️ Requirements: 6+ years (Senior) or 4+ years (Mid) experience in scalable backend development, Proficiency in Kotlin, Python or similar backend language, Experience with Spring Boot or Python-based frameworks, Experience with relational databases (PostgreSQL or MySQL), Experience with NoSQL databases (DynamoDB or MongoDB), Hands-on experience with microservices architecture, Experience with event-driven systems, Experience with Kafka or other streaming platforms, Strong knowledge of REST, gRPC or GraphQL APIs, Experience with AWS services, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Experience with caching systems (Redis or Memcached), Experience with observability and monitoring tools, Production support experience in distributed systems 📃 Skills: Kotlin, Python, Java, Go, TypeScript, JavaScript, SpringBoot, PostgreSQL, MySQL, DynamoDB, MongoDB, Kafka, REST, gRPC, GraphQL, AWS, S3, Lambda, SQS, IAM, Docker, Kubernetes, Terraform, GitHubActions, Jenkins, Redis, Memcached, Datadog, Sentry, CI/CD 🏢 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 and Mid Software Engineers to join the Content Cloud team . In this role, you will design and build high-performance backend systems that power content delivery across a global platform. You will act as a technical leader within the team, driving architectural decisions, mentoring engineers, and ensuring the reliability and scalability of systems used by millions of users. This is a hands-on role with strong ownership and impact on distributed, event-driven systems at scale. Key takeaways: Stack : Kotlin (main codebase) We're open to: Java/Go/TypeScript/JavaScript, Other tools: REST/gRPC/GraphQL, Kafka, Redis, PostgreSQL/MySQL, DynamoDB/MongoDB, AWS, Docker, Kubernetes Salary : Mid : 21 000 PLN - 23 000 PLN gross on the Contract of Employment Senior: 23 000 PLN - 30 000 PLN gross on the Contract of Employment Working model : Hybrid - 3 days/week from the office Location : ul. Grzybowska 60, Warsaw Recruitment process : A call with MOTIFE Recruiter Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Backend Architecture & Scalability Design and build high-performance, scalable backend services and APIs supporting global content delivery Architect event-driven systems and microservices handling large-scale traffic and real-time interactions Drive system design decisions with a focus on reliability, performance, and security Technical Leadership Lead technical discussions, architecture reviews, and design decisions across teams Define and promote reusable patterns, components, and engineering standards Mentor engineers through code reviews, pair programming, and technical guidance Performance & Reliability Identify system bottlenecks using monitoring, tracing, and load testing tools Optimize performance through data modeling, caching strategies, and query improvements Engineering Excellence Champion best practices including CI/CD, automated testing, observability, and infrastructure as code Maintain high standards for code quality, scalability, and maintainability Continuously improve development processes and system architecture Cross-Functional Collaboration Partner closely with Product, Design, and QA to deliver impactful features Translate business requirements into scalable technical solutions Act as a domain expert within the team and contribute to platform-wide initiatives Requirements: Technical Expertise 6+ years of experience building high-performance, scalable backend systems as Senior/4+ years of experience as a Mid Engineer Strong proficiency in Kotlin, Python, or similar backend languages Experience with modern backend frameworks (e.g., Spring Boot or Python-based frameworks) Strong experience with both relational (PostgreSQL, MySQL) and NoSQL databases (DynamoDB, MongoDB) Hands-on experience with microservices and event-driven architectures Experience with distributed streaming platforms such as Kafka Solid understanding of API design (REST, gRPC, or GraphQL) Cloud & Infrastructure Hands-on experience with AWS services (e.g., S3, DynamoDB, Lambda, SQS, IAM) Experience with Docker and Kubernetes Familiarity with infrastructure and deployment tooling (e.g., Terraform, GitHub Actions, Jenkins) Experience with caching systems such as Redis or Memcached Engineering Practices Strong understanding of CI/CD, DevOps, and Agile methodologies Experience with observability and monitoring tools (e.g., Datadog, Sentry) Proven experience in production support and incident management in distributed systems What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If this sounds like your next step, we’d love to hear from you! Please apply via our careers page and submit your CV in English.

🏢 Summary: Senior DevOps Engineer role focused on designing and scaling next-generation CI/CD platforms supporting high-volume builds and deployments across diverse systems (IoT, web, mobile, backend, data, ML). The position combines hands-on platform engineering with technical leadership, driving CI/CD strategy, cloud infrastructure, and developer enablement. The role directly impacts reliability, security, and scalability of developer tooling used by hundreds of engineers. 🗂️ Requirements: 7+ years of experience in software engineering or DevOps, Experience designing and operating large-scale distributed systems, Hands-on experience with AWS, Strong knowledge of Kubernetes and containerized environments, Experience with CI/CD platforms and build systems, Proficiency in at least one programming language: Kotlin, Go, or Python, Experience with Jenkins and GitHub Actions, Experience with Gradle and Artifactory 📃 Skills: Jenkins, GitHub, GitHubActions, Gradle, Artifactory, Kubernetes, AWS, Kotlin, Go, Python, CI/CD, Docker 🏢 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. As a Senior DevOps Engineer , you will join the Platform team , responsible for designing and evolving next-generation CI/CD platforms used by hundreds of engineers across the organization. Your work will directly impact how fast, safely, and reliably products are built and delivered across a diverse technology landscape — from IoT and firmware to web, mobile, backend, data, and machine learning systems. This is a senior, hands-on role with strong technical leadership expectations. You’ll influence platform strategy, guide engineering teams in adopting modern CI/CD solutions, and help scale developer infrastructure capable of supporting thousands of daily builds and deployments. Key takeaways: Stack: Jenkins, GitHub Actions, Gradle, Artifactory, Kubernetes, AWS Salary: 27 000 PLN - 33 000 PLN gross on the Contract of Employment Working model: Hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Interview with the Hiring Manager (1h) Interviews panel (debugging / break-fix style interview, architecture or system design discussion; up to 3h in total) Responsibilities: Platform Architecture & CI/CD Design, build, and maintain scalable CI/CD platforms capable of handling high build and deployment volumes Architect and support systems using Jenkins, GitHub Actions, Gradle, and Artifactory Ensure reliability, extensibility, and security of developer tooling Technical Leadership Act as a technical leader within the team, promoting a strong platform-thinking mindset Influence technology investments and architectural decisions across partner teams Support peers in design reviews, execution planning, and complex problem-solving Developer Experience & Enablement Continuously improve self-service infrastructure and automation tooling Partner with internal teams to identify bottlenecks and optimize build and delivery workflows Advocate for best-in-class developer experience across the organization Quality, Standards & Roadmapping Promote best practices in architecture, testing, documentation, and agile delivery Review platform designs, technical decisions, and code to ensure high quality and scalability Contribute to planning and execution of long-term technology roadmaps Requirements: Technical Expertise 7+ years of experience in software engineering or DevOps roles Strong experience designing and operating large-scale, distributed systems Hands-on experience with cloud platforms (AWS preferred) Solid understanding of containerized environments and orchestration (Kubernetes) Programming & Tooling Practical experience with at least one high-level programming language (Kotlin, Go, or Python) Familiarity with modern CI/CD ecosystems and build tooling Experience supporting diverse engineering domains (backend, frontend, mobile, data, IoT) is a strong plus Mindset & Collaboration Strong focus on improving developer experience and productivity Pragmatic approach to engineering, with a deep understanding of trade-offs Confident communicator who enjoys collaborating across teams Comfortable challenging ideas, making compromises, and driving alignment 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 .

🏢 Summary: Long-term Senior Software Engineer role building a cloud-based financial data platform from scratch. The position focuses on designing and developing scalable, real-time data processing solutions in Azure with strong influence on architecture and engineering standards. You will create backend services and data pipelines in a modern, evolving data environment. 🗂️ Requirements: Strong programming skills in Python or Java or C#, Experience with cloud platforms (Azure preferred), Experience building backend services or data processing components, Experience working with data pipelines and ensuring data consistency, Understanding of software design and clean code principles, Experience with CI/CD pipelines, Experience with version control systems 📃 Skills: Python, Java, C#, Azure, Cloud, CI/CD, Backend, Datapipelines 🏢 Description: As a Senior Software Engineer, you’ll be working on data-driven solutions within the financial data and analytics space. This is a long-term collaboration on a project being built from scratch, giving you real influence over architecture, technology choices, and engineering standards from day one. You’ll be shaping platforms that process large-scale, real-time data used across global financial systems, in a modern and evolving data environment. Key responsibilities Design and develop scalable solutions in cloud environment (Azure) Build and maintain data processing components and services Work with data pipelines and ensure data consistency across systems Develop cloud-based applications and services Collaborate with Engineering, Architecture and Product teams Contribute to clean code, CI/CD, automation and system reliability Take part in code reviews and technical discussions Ideal candidate profile Strong programming skills in Python or Java or C# Experience working with cloud platforms (Azure preferred) Experience in building backend services or data processing components Understanding of software design, clean code and good engineering practices Experience with CI/CD pipelines and version control systems Ability to work independently and as part of a team Good communication skills Nice to have Experience with Spark / PySpark / Databricks Experience with data platforms or data engineering concepts Familiarity with event-driven architectures (Kafka, Event Hubs or similar) Experience with Azure data ecosystem (e.g. Fabric) Experience with containers / Kubernetes (AKS) Conditions Form of cooperation: UoP + KUP 50% Salary range: 18 000 - 30 000 PLN gross/month + yearly bonus depends on the results Hybrid work model: 3 days per week in the Gdynia office Benefits: private medical care, Multisport card, employee pension scheme Recruitment steps Call with a KUBO recruiter (approx. 30 min.) Interview with the client (max. 2 rounds) Decision and feedback

🏢 Summary: Senior Data Platform Engineer role focused on building and optimising a cloud-native lakehouse platform for large-scale analytics and reporting. The position involves designing distributed data pipelines, enabling self-service analytics, and implementing governance and observability frameworks using modern data technologies. You will work with Spark-based systems and integrated data warehousing solutions to deliver scalable, reliable data platforms. 🗂️ Requirements: Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production environments, Experience with Delta Lake and/or Apache Iceberg in production, Practical experience with dbt for data transformations, Experience with Databricks and Snowflake, Understanding of data governance and lineage in large-scale environments, Familiarity with Kubernetes and Docker, Experience with CI/CD and automated testing practices, Ability to participate in on-call rotations 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platforms you build will have real consequence across the organisation. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As a Senior Data Platform Engineer, you'll combine strong software engineering principles with deep data expertise to build robust, cloud-native platforms that process large-scale datasets efficiently and enable internal teams to build reporting and analytics on top of them. The role emphasises cloud-native architecture, lakehouse integration, data warehousing, and governance best practices. You'll work on systems using Apache Spark, Delta Lake, and Iceberg, and help deliver curated data models and self-service analytics capabilities to internal stakeholders. You'll also participate in on-call rotations as part of shared team responsibility. WHAT YOU'LL WORK ON Data pipeline and distributed systems Design and implement scalable data pipelines and distributed systems using Spark and Python to process and transform large-scale datasets for analytics and reporting. Lakehouse platform development Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability, versioning, and performance optimisation at scale. Analytics workflow enablement Integrate dbt for SQL transformations running on Spark. Collaborate with internal teams to deliver curated datasets and self-service analytics capabilities for reporting and advanced use cases. Data warehousing optimisation Integrate and optimise Databricks and Snowflake for scalable storage and query performance. Drive performance tuning and cost optimisation across Spark jobs and cloud-native environments. Governance and observability Implement observability and governance frameworks including data lineage, quality checks, and compliance controls. Build platforms that allow secure and compliant access to diverse data sources. Engineering best practices Apply and champion clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. On-call participation Participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT WE LOOK FOR Python and SQL Strong programming skills in both Python and SQL, applied to production data platform work at scale. Apache Spark Solid hands-on experience with Spark for distributed data processing, including performance tuning in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You've applied these in production and understand the trade-offs in real-world scenarios. dbt and analytics tooling Practical experience with dbt for transformation workflows. Familiarity with Databricks and Snowflake for large-scale analytics workloads. Data governance and compliance Understanding of data governance, lineage tracking, and compliance requirements in large-scale, multi-tenant data environments. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data systems. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 208,000 – 312,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Full-time Data Engineer role focused on building and maintaining scalable, cloud-based data platforms for large-scale analytics. The position involves developing end-to-end data pipelines and collaborating with researchers and data professionals to enable data exploration and insight generation. 🗂️ Requirements: 3+ years experience in Data Engineering or similar role, Strong Python skills, Experience with Spark or Scala, Experience with big data technologies, Ability to design scalable data solutions 📃 Skills: Python, Spark, Scala, Cloud, ETL, BigData, GraphDB 🏢 Description: Role Title: Data Engineer Location: Warsaw, hybrid Contract Type: Umowa o Pracę - full time employment 25000-36000 zl gross/month - negotiable (depending on years of experience) A growing research-focused team is looking for a Data Engineer to build and support data platforms that help professionals extract insights from large, complex datasets. This role involves working closely with researchers, analysts, and data scientists to design scalable data solutions. What you’ll do Build and maintain end-to-end data pipelines (ingestion, transformation, delivery) Develop cloud-based data infrastructure for large-scale analytics Work with teams to enable data exploration and visualization Evaluate and prototype new big data technologies Requirements 3+ years experience in Data Engineering or similar role Strong Python development skills Experience with Spark or Scala Interest or experience in big data technologies Ability to design innovative solutions to data challenges Nice to have • Experience with graph databases