Senior Software Engineer

🏢 Summary: Fullstack Software Engineer II role focused on building and maintaining large-scale distributed data platforms that process petabytes of data daily. The position involves developing backend and frontend systems for customer-facing reporting and alerting services. You will work cross-functionally to design, implement, and optimize scalable solutions in a high-availability environment. 🗂️ Requirements: Solid experience with Java, Experience with Spring framework, Experience with or willingness to learn JavaScript, Experience with or willingness to learn Angular, Proficiency in API design and development, Knowledge of API security and management, Knowledge of Docker and Kubernetes, Experience with monitoring tools such as Grafana or Splunk, Strong analytical and problem-solving skills, Professional English communication skills 📃 Skills: Java, Spring, JavaScript, Angular, API, Docker, Kubernetes, Grafana, Splunk 🏢 Description: Are you passionate about distributed platforms? And solving technology problems on a large scale? Join our Data Experience team The Cloud Data Services team owns and operates systems that are used across Akamai for log delivery, analytics, reporting and alerting. These systems currently receive over 7PB/day of data and process over 5 trillion records per day. Our code helps to run one of the largest distributed systems in the world. Partner with the best Our team is collaborative, inclusive, and creative. We develop applications and services to empower our customers. In this role you will gather requirements, design, implement, and maintain services used to provide customer-facing reports and alerts. These features are vital to understand and optimize Akamai products' performance and consumption. As a Fullstack Software Engineer II you will be responsible for: Developing and integrating backend systems and frontend applications Partnering with product management, architects and other engineering teams to build features that allow customers understand their products and performance Solving complex problems in a timely and accurate manner through development, automation and systems programming Working in a cross-functional team where quality and availability are key capabilities Do what you love To be successful in this role you will: Have solid experience with Java and Spring framework Have experience with or be willing to learn Javascript and Angular Be proficient in API design, development, security and management Have knowledge of Docker/Kubernetes and monitoring tools like Grafana, Splunk Display excellent analytical, problem-solving and troubleshooting skills Demonstrate written, verbal and presentation skills in English

🏢 Summary: Senior Fullstack Software Engineer role focused on developing and maintaining a large-scale cloud management web application used by thousands of daily users. The position involves building frontend features and backend services, contributing to scalable cloud infrastructure solutions, and working in an agile environment. You will design solutions, implement new features and bug fixes, write unit tests, and integrate relevant open-source technologies. 🗂️ Requirements: Proficiency in TypeScript and frontend development, Proficiency in Python, Experience with backend service development, Understanding of algorithms, Ability to perform root cause analysis, Ability to write organized, efficient, well-documented code, Experience with unit testing, Experience working in agile development environments 📃 Skills: TypeScript, React, Python, Flask, SQLAlchemy, REST, Docker, Algorithms, UnitTesting 🏢 Description: Do you want to build the next generation of cloud services? Would you like an opportunity to effect change at a leading technology organization? Join our Compute Team! Our Team's mission is to accelerate innovation by making computing simple, scalable, accessible, and affordable. We provide the infrastructure and services that enable developers to build next-generation applications. We host hundreds of thousands of virtual machines and petabytes of data for our customers worldwide. Partner with the best Your role involves developing new features and maintaining existing ones in Cloud Manager, a web-based UI serving 10,000 daily users. Responsibilities include implementing corresponding backend service updates. The team emphasizes agile development and innovative solutions, utilizing technologies such as TypeScript, React, Python, Flask, SQLAlchemy, REST APIs, Docker, and more. As a Fullstack Senior Software Engineer, you will be responsible for: Designing - gathering all required specifications and finding an appropriate solution. Implementing bug fixes or new features. Implementing unit tests. Researching, proposing, and integrating relevant open-source projects based on product objectives. Improving internal processes and systems on a consistent basis. Do what you love To be successful in this role you will: Demonstrate proficiency in TypeScript and front-end development Be comfortable and proficient with Python Demonstrate understanding of algorithms and root cause analysis. Write organized, efficient, and well-documented code. About us At Akamai, we make life better for billions of people, trillions of times a day. Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone. Our focus is simple: Cloud and Edge: Running apps closer to users for instant performance. Security : Neutralizing threats before they ever reach your data. Content Delivery : Scaling the world's biggest moments without a glitch. AI : Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform. At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works. Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits. FlexBase adapts to your job's needs Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work. We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both. Connect with us on social and see what life at Akamai is like!

🏢 Summary: Software engineering role in the Data Platform team focused on building and maintaining data-driven applications, including AI-powered data access tools. The position involves developing scalable data and metadata solutions and contributing to high-impact projects across the organization. You will work across legacy and greenfield systems while leveraging modern AI-assisted development practices. 🗂️ Requirements: 3+ years of software engineering experience, Proficiency in Python, Proficiency in SQL 📃 Skills: Python, SQL, Kubernetes, Kafka, Trino, Grafana, Prometheus, CloudWatch, AWS, Copilot, Claude, Codex, AI, Cloud, Data, Metadata 🏢 Description: Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact. What you’ll do: Develop and enhance solutions for data and metadata access Build reliable, scalable applications and operational processes Experiment with AI-assisted development tools and share best practices Collaborate in a distributed team, taking ownership of impactful projects What we’re looking for: 3+ years in software engineering, Python and SQL experience Experience with data systems, cloud technologies, or AI-assisted tools is a plus Product-oriented mindset, comfortable navigating ambiguity, and impact-focused Nice to have: Experience with Kubernetes, Kafka, or federated query engines (e.g., Trino) Familiarity with monitoring/observability tools like Grafana, Prometheus, CloudWatch Experience with AWS or other cloud platforms Hands-on experience with AI coding assistants (Copilot, Claude Code, Codex, etc.) Why join: High-visibility, high-impact role across the firm Shape AI-driven development and data access practices Work on cutting-edge tech in institutional finance Collaborative culture with competitive compensation

🏢 Summary: Senior II Software Development Engineer in Test role focused on validating large-scale cloud routing services and networking platforms through automation, performance testing, and protocol verification. The position involves building scalable test frameworks, validating BGP and Linux networking stacks, and conducting resiliency and scalability testing in multi-vendor environments. 🗂️ Requirements: Degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, Professional experience in Network Validation, QA Automation, or Systems Testing, Expertise in Layer 2/3 networking, Strong knowledge of TCP/IP, IPv4/IPv6, and BGP, Experience with routing state machines, debugging, configuration, and validation, Experience developing Python test automation, Experience with Pytest and network automation libraries, Experience with traffic generation and performance testing tools, Experience with Docker Compose, Kind, and Linux networking tools 📃 Skills: Python, Pytest, Netmiko, NAPALM, Scapy, BGP, TCP/IP, IPv4, IPv6, Docker, Kind, Linux, Spirent, Landslide, Avalanche 🏢 Description: Do you thrive on solving complex cloud datacenter networking challenges across a massive, globally distributed footprint? Do you enjoy designing and building software to test and validate BGP, Linux networking, and hypervisor stacks? Join our Routing Services Validation team! The Cloud Networking division seeks an experienced Senior II Test Engineer for the Routing Services Validation team. Responsibilities include defining test strategies, designing detailed test plans, and creating automation frameworks to validate next-generation routing platforms. Partner with the best The role involves resolving software automation and verification challenges in a multi-vendor routing and switching environment. Collaboration with Network Engineering and Network Architecture teams will develop expertise in large-scale testing of routing protocols. As a Senior II Software Development Engineer in Test, you will be responsible for: Designing and conducting thorough end-to-end functional validation for routing services, emphasizing BGP daemons, advanced networking technologies, and core protocols. Developing, deploying, and maintaining scalable automation frameworks, reusable libraries, fixtures, and tests, while integrating test suites into CI/CD pipelines. Conducting performance, stress, scalability, and resiliency testing with traffic generators, simulating internet-scale routing, high-throughput traffic, route changes, and failover scenarios. Conducting thorough root cause analysis of protocol state machine failures, routing anomalies, convergence issues, and system-level regressions to enhance software reliability. Contributing to test strategies, enhancing automation coverage, refining testing methods, and reviewing architecture and design to ensure thorough validation. Do what you love To be successful in this role you will: Possess education in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. Demonstrate expertise in Network Validation, QA Automation, or Systems Testing with applicable and relevant professional experience. Demonstrate expertise in Layer 2/3 networking, TCP/IP, IPv4/IPv6, BGP, routing state machines, attributes, scaling, configuration, debugging, and validation. Develop scalable Python test automation with Pytest and network libraries like Netmiko, NAPALM, Scapy for functional validation and testing. Leverage high-scale traffic tools like Spirent, Landslide, Avalanche, or equivalents to validate performance, throughput, scalability, and system resilience effectively. Deploy containerized routing daemons, manage complex network topologies, and create virtual test environments using Docker Compose, Kind, and Linux tools. About us At Akamai, we make life better for billions of people, trillions of times a day. Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone. Our focus is simple: Cloud and Edge: Running apps closer to users for instant performance. Security : Neutralizing threats before they ever reach your data. Content Delivery : Scaling the world's biggest moments without a glitch. AI : Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform. At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works. Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits. FlexBase adapts to your job's needs Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work. We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both. Connect with us on social and see what life at Akamai is like!

🏢 Summary: The offer is for a Senior Scala Engineer to design and evolve a high-performance aggregate system that optimizes query workloads across modern cloud data platforms. The role focuses on architecting intelligent prediction and selection logic, improving system scalability, and ensuring reliability in large-scale environments. You will work on accelerating business intelligence through advanced lifecycle and performance engineering. 🗂️ Requirements: 6+ years of professional software engineering experience, BA/BS in Computer Science or related field, Strong expertise in Scala, Experience with Akka or Pekko, Experience with data warehouse concepts, Experience with Docker and Kubernetes, Ability to design and optimize high-scale distributed systems, Ability to analyze system performance and trade-offs, Availability to work in Eastern/Central European Time hours 📃 Skills: Scala, Akka, Pekko, Snowflake, BigQuery, Databricks, Docker, Kubernetes 🏢 Description: Our customer is the semantic layer for modern data and AI. They bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent, AI-ready analytics. We are looking for a Senior Scala Engineer to join the Aggregates Engineering Team to help redefine how the world handles business intelligence. Responsibilities: Architect the Core Lifecycle: Design, build, and evolve the aggregate system that defines, manages, and optimizes aggregates to accelerate query performance across data platforms. Optimize Intelligent Performance: Architect the prediction and selection logic that identifies high-value aggregates and analyze query workloads to guide placement strategies. Scale High-Impact Systems: Improve maintenance and scheduling processes to ensure reliability and low overhead in large-scale environments, ensuring the system scales smoothly. Requirements: 6+ years of professional software engineering experience and a BA/BS in Computer Science or a related field. Strong programming expertise in Scala and ideally have experience with Scala worker systems like Akka or Pekko. You can reason about complex system behavior, lifecycle state, and performance tradeoffs while maintaining a focus on production reliability. Experience with data warehouse concepts (Snowflake, BigQuery, etc.) and containerization technologies (Docker, Kubernetes). Excellent communication skills and are comfortable working across query planning and platform teams. You are based in or able to work Eastern/Central European Time hours.

🏢 Summary: Fullstack Software Engineer role focused on building secure authentication platforms and web applications for cloud management systems using modern backend and frontend technologies. The position involves full project lifecycle ownership, security-focused development, API integration, and collaboration within a multidisciplinary engineering team. 🗂️ Requirements: Computer Science degree, Full-stack web application development experience, Python development expertise, Flask, FastAPI, RESTful APIs, JavaScript, TypeScript, Database management, Docker, TCP/IP, HTTP, DNS, TLS/SSL, Browser security, OWASP, Version control, Shell scripting 📃 Skills: Python, JavaScript, TypeScript, Java, Flask, FastAPI, REST, Docker, TCP/IP, HTTP, DNS, TLS/SSL, OWASP, Git, Shell, SQL, Angular, Groovy, Figma 🏢 Description: Would you like to work with cutting-edge technology? Are you a fullstack developer who loves creating complex web applications? Join our Authentication Team The team oversees authentication services for Akamai Control Center and Linode's Cloud Manager. Access is secured using protocols like OAuth and SAML, integrated with various security tools. Engineers are needed to enhance and expand these essential platforms. Partner with the best As a Software Engineer, responsibilities include creating secure, scalable, and user-friendly solutions within modern architecture. Work involves developing and integrating platform components used by customers and engineering teams. Contributions directly impact the security of Akamai Control Center and Cloud Manager, two critical systems. This role offers a unique opportunity to enhance system functionality and security across platforms. As a Software Engineer, you will be responsible for: Developing and maintaining full-stack web applications using Python and JavaScript, with potential usage of Java and TypeScript. Engaging in every phase of the project lifecycle, from design and development to deployment, QA support, and post-release resolution. Translating UI designs into pixel-perfect front-end implementations. Managing and interacting with relational and non-relational databases. Implementing security best practices and maintaining familiarity with core internet protocols (TCP/IP, HTTP, DNS, TLS/SSL). Leveraging Docker, version control systems, and shell scripting to support development, automation, and system reliability. Solving complex technical problems through design and development, while collaborating within a multi-disciplinary engineering team. Do what you love To be successful in this role you will: Hold a first-level qualification in Computer Science from an accredited academic institution. Demonstrate expertise developing and maintaining comprehensive web applications with extensive full-stack development experience. Demonstrate practical backend development expertise using Python, with Flask and FastAPI, knowledge of RESTful API principles, databases, and Docker. Develop modern web applications with JavaScript or TypeScript, converting UI designs (e.g., Figma) into responsive, pixel-perfect front-end components. Apply expertise in internet technologies and security principles, covering TCP/IP, HTTP, DNS, TLS/SSL, browser security concepts, and OWASP Top 10 practices. Leverage version control systems, shell scripting, and collaborative practices while showcasing enthusiasm for learning technologies and contributing within teams. Bonus points (nice to have): Experience with Java (Spring Framework) and Groovy, Knowledge of popular web frameworks (e.g., Angular), Knowledge of non-relational databases Learn what makes Akamai a great place to work Connect with us on social and see what life at Akamai is like!

🏢 Summary: The role focuses on driving successful Cloud ACS implementations by onboarding clients, providing technical support, and delivering training to ensure maximum product value. It involves close collaboration with customers and internal teams to optimize processes and support presales activities. 🗂️ Requirements: Experience supporting technical clients, Ability to onboard clients and implement custom processes, Ability to provide technical support via email, phone, and online meetings, Ability to conduct technical trainings, Understanding of networking concepts (IP, DNS, HTTP, HTTPS), Ability to translate customer feedback into product insights, Strong presentation of technical topics, Fluency in English 📃 Skills: Cloud, ACS, Networking, IP, DNS, HTTP, HTTPS, XML, Scripting, Automation 🏢 Description: Join our Customer Success team to drive client satisfaction and successful Cloud ACS implementations! Help clients fully leverage our cutting-edge solutions, ensuring they maximize their return on investment. Key responsibilities Facilitate client onboarding and custom process implementation Provide daily support through email, phone, and online meetings Conduct training and empower clients to maximize the value of Cloud ACS Drive product innovation by gathering customer feedback Support the Presales team in PoCs coordination Requirements Proactive, customer oriented professional with experience in support of technical clients Keen eye for process optimization Ability to translate client feedback into actionable insights for our Product Team Strong communication and presentation skills Ability to explain technical topics clearly and in a structured way Details oriented and analytical mind Basic understanding of networking concepts (IP addressing, DNS, HTTP/HTTPS) and willingness to expand technical knowledge Fluency in English Nice to have Basic scripting or automation experience (e.g. XML, scripting languages, or Java-like languages) to create simple workflow automations tailored to customer business processes Second language - Spanish, French, or Italian is a nice bonus What we offer Collaborative work environment with support from a talented team Opportunity to work with a leading device management platform (Cloud ACS) Real exposure to global customers, including participation in international conferences and industry events Flexible working hours and a relaxed work atmosphere (no dress code, no open space) Professional development through training, conferences and knowledge sharing Comprehensive benefits package, including medical care, Multisport card, onsite gym, and chillout space Comfortable office amenities: well-stocked kitchen (including Good Lood ice cream), parking area, and bike room

🏢 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 .