April 26, 2026
Senior Performance Test Engineer
Senior • Remote
Wroclaw, Poland
DataWalk is a high-tech software product company that brings the next level of technology to the world through a patent-based hybrid graph analytical platform. Our system is used by US Departments, Intelligence Agencies, and top Fortune500 companies to combat money laundering, fraud, human trafficking, terrorism or organized crime. If you are interested in making the world a safer place and leverage a unique business opportunity, please read further.
We are looking for an experienced Senior Performance Test Engineer to join our Product Engineering Team.
As a Senior Performance Test Engineer at DataWalk, you will be ensuring our platform delivers optimal performance at massive scale for top Fortune500 companies and other major organizations processing hundreds of billions of objects and terabytes to petabytes of data. This role demands extraordinary analytical and technical expertise to proactively discover optimal system configurations, design and maintain complex performance test scenarios, tune infrastructure and application layers, and manage test environments on Kubernetes. You will maintain CI/CD pipelines powering our performance testing process and drive the adoption of AI-assisted scripting practices to elevate our testing productivity. We foster a culture of continuous growth, encouraging you to explore and implement new tools and practices, shifting the team's focus from reactive test execution to proactive performance optimization across the entire product. This is a chance to be a part of a company that's challenging the status quo in data analysis, offering a demanding but stimulating and rewarding environment for passionate performance engineering professionals.
Responsibilities:
Design, develop, and maintain complex performance test scenarios for a BigData platform processing hundreds of billions of objects at terabyte-to-petabyte scale.
Analyze test results, identify bottlenecks, and recommend tuning strategies for infrastructure and application layers.
Develop and maintain CI/CD pipelines for performance testing (Jenkins, Groovy).
Drive performance enablement across the entire Product Engineering.
Manage test environments on Kubernetes clusters (OKE, EKS).
Document findings, provide recommendations, and communicate results to stakeholders.
Requirements:
Have 5+ years of experience in performance engineering (preferably in a product company).
Have hands-on experience designing and maintaining complex performance test scenarios using tools such as JMeter, Locust, k6.
Have experience building and maintaining CI/CD pipelines (Jenkins, Groovy).
Are proficient in Python for performance test scripting.
Have practical experience in utilizing AI tools to automate and accelerate your work.
Have practical experience with Kubernetes (debugging, resource management).
Have experience with observability tools (monitoring, logging, tracing).
Worked with BigData workloads.
Have strong analytical skills, ability to work independently, take initiative, and drive improvements proactively.
Native in Polish, and proficient in English.
We offer:
Direct impact on the global expansion of the fast growing investigative analytics company with global ambitions.
A competitive salary and an attractive package of benefits (private healthcare, life insurance, multisport cards, training).
Growth opportunities in a dedicated and passionate team of professionals.
A challenging and inspiring environment.
Work remotely in a flexible, independent work environment.
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Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .
Technology
MOTIFE
Senior Data Platform Engineer
Senior
Hybrid
Warsaw, Poland
23,000 - 30,000 PLN/mo
🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to 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 .