Senior Machine Learning Engineer

🏢 Summary: The role focuses on building and operating scalable, low-latency machine learning infrastructure for real-time personalization services. You will design and maintain Python-based microservices, deploy ML models to cloud environments, and ensure high availability and performance of recommendation systems. The position involves close collaboration with ML and platform teams to bring ML-powered features into production. 🗂️ Requirements: 3+ years of professional software engineering experience, Degree in Computer Science, Engineering, or related technical field, Strong knowledge of data structures and algorithms, Professional experience building backend services in Python, Experience designing RESTful APIs or gRPC services, Experience building microservices architectures, Experience deploying production services on AWS, GCP, or Azure, Experience with relational and non-relational databases, Experience with event-driven architectures and message queues, Strong debugging, profiling, and performance tuning skills 📃 Skills: Python, AWS, GCP, Azure, Kubernetes, Docker, REST, gRPC, Kafka, RabbitMQ, SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog, Grafana, MLflow 🏢 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 Machine Learning Infrastructure Engineer to join the Personalization team, which owns the systems powering content recommendations across the company’s digital ecosystem. In this role, you will design, build, and maintain low-latency, highly scalable services that make real-time personalization possible. You will work hands-on with backend services, cloud infrastructure, model serving, observability, and performance optimization, partnering closely with ML Engineers, API Engineers, Platform Engineers, and Product Managers to bring ML-powered product features into production. Key takeaways: Stack : Python, AWS/GCP/Azure, Kubernetes, Docker, REST, gRPC, Kafka/RabbitMQ/SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog/Grafana/MLflow Salary : 24 000 PLN - 28 000 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 Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, build, and maintain Python microservices powering personalized content recommendations. Productionize, deploy, monitor, and operate machine learning services in cloud-based production environments. Partner with ML Engineers to integrate models into scalable backend services and real-time recommendation workflows. Ensure high availability, low latency, and strong performance through caching, load balancing, auto-scaling, and capacity planning. Own and improve personalization services, including reliability, testability, observability, scalability, and operational readiness. Conduct performance tuning, profiling, and latency optimization for high-traffic recommendation workloads. Collaborate with platform teams to use infrastructure, tooling, and deployment workflows that support fast product iteration. Work with Product Managers, ML Engineers, API Engineers, and Data Engineers to launch ML-powered personalization features. Requirements: 3+ years of professional software engineering experience and a degree in Computer Science, Engineering, or a related technical field. Strong software engineering fundamentals, including data structures, algorithms, clean code, testing, and reproducibility. Professional experience building backend services in Python; experience with Java, Kotlin, Go, C, or C++ is welcome. Experience designing and building RESTful APIs, gRPC services, or microservices from the ground up. Strong experience deploying and managing production services on AWS or GCP, or Azure. Experience with relational and non-relational databases such as Postgres, MySQL, DynamoDB, or Redis. Experience with event-driven architectures and message queues such as Kafka, RabbitMQ, or SQS. Strong debugging, profiling, and performance tuning skills, including latency tracking, scalability analysis, and production troubleshooting. 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: The role involves building and operating scalable, low-latency machine learning infrastructure to power real-time personalization and content recommendations. You will design and maintain Python-based microservices, deploy ML models to cloud environments, and ensure high availability and performance of production systems. The position focuses on backend engineering, cloud infrastructure, and model serving within a cross-functional ML product team. 🗂️ Requirements: 3+ years of professional software engineering experience, Degree in Computer Science, Engineering, or related technical field, Strong knowledge of data structures and algorithms, Professional experience building backend services in Python, Experience designing RESTful APIs or gRPC services, Experience building microservices architectures, Experience deploying production services on AWS, GCP, or Azure, Experience with relational and non-relational databases, Experience with event-driven architectures and message queues, Strong debugging, profiling, and performance tuning skills 📃 Skills: Python, AWS, GCP, Azure, Kubernetes, Docker, REST, gRPC, Kafka, RabbitMQ, SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog, Grafana, MLflow 🏢 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 Machine Learning Infrastructure Engineer to join the Personalization team, which owns the systems powering content recommendations across the company’s digital ecosystem. In this role, you will design, build, and maintain low-latency, highly scalable services that make real-time personalization possible. You will work hands-on with backend services, cloud infrastructure, model serving, observability, and performance optimization, partnering closely with ML Engineers, API Engineers, Platform Engineers, and Product Managers to bring ML-powered product features into production. Key takeaways: Stack : Python, AWS/GCP/Azure, Kubernetes, Docker, REST, gRPC, Kafka/RabbitMQ/SQS, Postgres, MySQL, DynamoDB, Redis, CI/CD, Terraform, Datadog/Grafana/MLflow Salary : 24 000 PLN - 28 000 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 Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, build, and maintain Python microservices powering personalized content recommendations. Productionize, deploy, monitor, and operate machine learning services in cloud-based production environments. Partner with ML Engineers to integrate models into scalable backend services and real-time recommendation workflows. Ensure high availability, low latency, and strong performance through caching, load balancing, auto-scaling, and capacity planning. Own and improve personalization services, including reliability, testability, observability, scalability, and operational readiness. Conduct performance tuning, profiling, and latency optimization for high-traffic recommendation workloads. Collaborate with platform teams to use infrastructure, tooling, and deployment workflows that support fast product iteration. Work with Product Managers, ML Engineers, API Engineers, and Data Engineers to launch ML-powered personalization features. Requirements: 3+ years of professional software engineering experience and a degree in Computer Science, Engineering, or a related technical field. Strong software engineering fundamentals, including data structures, algorithms, clean code, testing, and reproducibility. Professional experience building backend services in Python; experience with Java, Kotlin, Go, C, or C++ is welcome. Experience designing and building RESTful APIs, gRPC services, or microservices from the ground up. Strong experience deploying and managing production services on AWS or GCP, or Azure. Experience with relational and non-relational databases such as Postgres, MySQL, DynamoDB, or Redis. Experience with event-driven architectures and message queues such as Kafka, RabbitMQ, or SQS. Strong debugging, profiling, and performance tuning skills, including latency tracking, scalability analysis, and production troubleshooting. 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 Software Engineer role focused on designing and operating scalable backend microservices that power AI-driven content features such as search, voice, subtitles, and translations. The position combines backend engineering, cloud infrastructure, and technical leadership within an agile team. You will integrate AI/NLP services into production systems while ensuring high availability, performance, and scalability. 🗂️ Requirements: 6+ years of backend software development experience, BS or MS degree in Computer Science, Engineering, Mathematics, or related field, Strong expertise in Kotlin, Python, or similar backend language, Experience with backend frameworks such as Spring Boot or similar JVM/Python frameworks, Experience designing APIs using REST, gRPC, or GraphQL, Experience with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB), Hands-on experience with AWS, Docker, Kubernetes, Experience with CI/CD and infrastructure tools such as Terraform, GitHub Actions, or Jenkins, Strong understanding of distributed systems, caching, observability, security, and performance optimization 📃 Skills: Kotlin, Python, Spring, SpringBoot, REST, gRPC, GraphQL, PostgreSQL, MySQL, DynamoDB, MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHubActions, Jenkins, CI/CD, NLP, ASR 🏢 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 Software Engineer to join the Content AI team in Warsaw. This team applies AI to content-related processes, including search, voice assistant capabilities, subtitles, live captions, translations, metadata tagging, and content generation workflows. In this role, you will act as a technical lead within an agile engineering team, designing and operating scalable microservices that support AI-powered content features. The focus is on backend engineering, production systems, and technical leadership rather than building AI models from scratch. Key takeaways: Stack : Kotlin, Spring Boot, REST, gRPC, GraphQL, PostgreSQL/MySQL/DynamoDB/MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHub Actions, Datadog Salary : 26 000 PLN - 32 000 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 Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, develop, and operate scalable backend APIs and microservices powering search, voice, subtitles, captions, translations, and content workflows. Lead technical discussions, architecture reviews, design decisions, and task breakdowns within the engineering team. Build services with a focus on high availability, low latency, security, scalability, and maintainability. Work with ML Engineers to integrate hosted NLP, ASR, and AI models into production backend systems. Architect reusable code, libraries, patterns, and standards that can be adopted across teams. Use monitoring, tracing, profiling, and load-testing tools to identify bottlenecks and improve production performance. Champion engineering best practices, including CI/CD, test automation, feature toggles, logging, monitoring, and reliable release processes. Mentor engineers through code reviews, pair programming, technical guidance, and incident response leadership. Requirements: 6+ years of software development experience building high-performance, scalable backend cloud application systems. BS or MS degree in Computer Science, Engineering, Mathematics, or a related technical field. Strong expertise in Kotlin, Python, or similar backend programming languages. Strong experience with backend frameworks such as Spring Boot, Bottle, Gunicorn, or similar JVM/Python frameworks. Experience designing and building APIs using REST, gRPC, or GraphQL. Experience with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, or MongoDB. Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and infrastructure tooling such as Terraform, GitHub Actions, or Jenkins. Strong understanding of distributed systems, Elasticsearch optimization, caching, observability, security, performance optimization, production troubleshooting, and incident response. Nice to have: Experience working on AI-powered products, model-serving systems, or backend services that integrate with ML models. Experience with NLP, ASR, voice assistants, chatbots, search platforms, live captions, subtitles, translations, or content metadata workflows. 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 Software Engineer role focused on designing and operating scalable backend microservices that power AI-driven content features such as search, voice, subtitles, and translations. The position combines hands-on backend development with technical leadership in an agile team, integrating hosted AI/NLP models into production systems. The role emphasizes high availability, performance, and cloud-native architecture in a hybrid work model in Warsaw. 🗂️ Requirements: 6+ years of experience building scalable backend cloud systems, Degree in Computer Science, Engineering, Mathematics or related field, Strong proficiency in Kotlin or Python, Experience with Spring Boot or similar JVM/Python frameworks, Experience designing APIs using REST, gRPC or GraphQL, Experience with relational and NoSQL databases, Hands-on experience with AWS and containerization, Experience with Kubernetes and CI/CD pipelines, Knowledge of distributed systems and system design, Experience with monitoring, performance optimization and production troubleshooting 📃 Skills: Kotlin, Python, Spring, REST, gRPC, GraphQL, PostgreSQL, MySQL, DynamoDB, MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHub, Datadog, 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 Software Engineer to join the Content AI team in Warsaw. This team applies AI to content-related processes, including search, voice assistant capabilities, subtitles, live captions, translations, metadata tagging, and content generation workflows. In this role, you will act as a technical lead within an agile engineering team, designing and operating scalable microservices that support AI-powered content features. The focus is on backend engineering, production systems, and technical leadership rather than building AI models from scratch. Key takeaways: Stack : Kotlin, Spring Boot, REST, gRPC, GraphQL, PostgreSQL/MySQL/DynamoDB/MongoDB, Elasticsearch, Redis, AWS, Docker, Kubernetes, Terraform, GitHub Actions, Datadog Salary : 26 000 PLN - 32 000 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 Hiring Manager screening Coding interview Panel interviews with the team (coding, architecture, and cross-collaboration interviews, Hiring Manager meeting) Responsibilities: Design, develop, and operate scalable backend APIs and microservices powering search, voice, subtitles, captions, translations, and content workflows. Lead technical discussions, architecture reviews, design decisions, and task breakdowns within the engineering team. Build services with a focus on high availability, low latency, security, scalability, and maintainability. Work with ML Engineers to integrate hosted NLP, ASR, and AI models into production backend systems. Architect reusable code, libraries, patterns, and standards that can be adopted across teams. Use monitoring, tracing, profiling, and load-testing tools to identify bottlenecks and improve production performance. Champion engineering best practices, including CI/CD, test automation, feature toggles, logging, monitoring, and reliable release processes. Mentor engineers through code reviews, pair programming, technical guidance, and incident response leadership. Requirements: 6+ years of software development experience building high-performance, scalable backend cloud application systems. BS or MS degree in Computer Science, Engineering, Mathematics, or a related technical field. Strong expertise in Kotlin, Python, or similar backend programming languages. Strong experience with backend frameworks such as Spring Boot, Bottle, Gunicorn, or similar JVM/Python frameworks. Experience designing and building APIs using REST, gRPC, or GraphQL. Experience with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, or MongoDB. Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and infrastructure tooling such as Terraform, GitHub Actions, or Jenkins. Strong understanding of distributed systems, Elasticsearch optimization, caching, observability, security, performance optimization, production troubleshooting, and incident response. Nice to have: Experience working on AI-powered products, model-serving systems, or backend services that integrate with ML models. Experience with NLP, ASR, voice assistants, chatbots, search platforms, live captions, subtitles, translations, or content metadata workflows. 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 Data Scientist role focused on building and operating real-time, AI-driven decisioning systems that directly impact user experience and conversion rates. The position involves developing and deploying production-grade machine learning models with strict low-latency requirements and contributing to personalization, experimentation, and recommendation systems. It combines hands-on ML engineering with experimentation, causal analysis, and large-scale data processing in a business-facing environment. 🗂️ Requirements: 7+ years commercial experience in Data Science with production ML focus, Strong experience deploying and maintaining production ML models, Experience with real-time systems and low-latency constraints, Proficiency in Python and SQL, Hands-on experience with gradient boosting methods, Experience with recommendation systems and uplift modeling, Strong knowledge of A/B testing and causal inference, Experience building feature engineering pipelines at scale, Experience with Apache Spark or PySpark, Cloud platform experience (AWS preferred), Familiarity with LLMs and GenAI for personalization 📃 Skills: Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PySpark, Spark, AWS, Databricks, NLP, LLM, GenAI 🏢 Description: We are looking for a Senior Data Scientist to join a Growth Alliance team focused on AI-driven decisioning and user-facing machine learning systems. This role is suited for a technically strong data scientist who is equally comfortable working with business stakeholders and operating production ML systems at scale. About the Project: This is a high-impact role working directly on systems that influence end-user experience and conversion. You will operate in a real-time environment with strict low-latency requirements (<40 ms), contributing to a shift toward AI-driven decisioning aimed at improving product performance and increasing conversion rates. The work spans production ML pipelines, experimentation, and personalization, not just research or experimentation in isolation. Responsibilities: Design, develop, and deploy production machine learning models with real-time constraints; Build and maintain recommendation systems, uplift models, and contextual bandit frameworks; Conduct A/B testing, causal inference analyses, and statistical hypothesis testing; Develop and maintain feature engineering pipelines at scale using PySpark / Apache Spark; Monitor and validate deployed models to ensure performance and reliability; Collaborate closely with business stakeholders to challenge assumptions and define the right problems; Contribute to generative AI and LLM-based personalization initiatives; Work with decisioning platforms, personalization engines, and Martech integrations. Qualifications: 7+ years of commercial experience in Data Science with a strong production ML focus; Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL; Hands-on experience with gradient boosting methods (XGBoost, LightGBM); Experience with recommendation systems, clustering, NLP, and uplift modeling; Solid background in A/B testing frameworks, causal inference, and statistical modeling; Experience with feature engineering and production ML pipelines at scale; Cloud platform experience, preferably AWS; Familiarity with LLMs, prompt engineering, and GenAI for content personalization; Strong communication skills and ability to work in a highly business-facing environment; Databricks experience is a nice to have. 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.

🏢 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, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and 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: 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: 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 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: 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.