Your responsibilities, 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., 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., 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., 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.

5+ years of professional software engineering experience building production backend systems., Strong experience with relational databases such as PostgreSQL or MySQL, including schema design, indexing, and query optimization., Experience working with NoSQL datastores such as DynamoDB, Redis, Elasticsearch, or Memcache., Solid understanding of distributed systems fundamentals, including latency, replication, consistency models, and scaling strategies., Experience building and operating services in cloud environments (preferably AWS)., Experience designing systems where data performance, reliability, and modelling are critical., Exposure to data pipelines, event-driven architectures, or systems interacting with streaming or batch processing frameworks., 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.

This is how we work, in house, you develop several projects simultaneously, you have influence on the technological solutions applied, you have influence on the product, you focus on product development, agile

work-organization-team-members

Team members, backend developer, frontend developer, fullstack developer, mobile developer, technical leader, devOps, automated test programmer, support, product owner, UI designer, UX designer

What we offer, 100% paid medical care, Multisport, Creative tax (KUP), Home office allowance, MacBook Pro

Recruitment stages, A call with Motife recruiter (30 min), Coding Interview (1h), Interview panel: architecture & system design (1h), Hiring Manager meeting (45 min)

additional-module

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.

About the project

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, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform

work-organization-team-members

Team members, backend developer, frontend developer, fullstack developer, mobile developer, technical leader, devOps, automated test programmer, support, product owner, UI designer, UX designer

additional-module

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.

About the project

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, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform

Your responsibilities

• 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.
• 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.
• 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.
• 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.

Recruitment stages

• A call with Motife recruiter (30 min)
• Coding Interview (1h)
• Interview panel: architecture & system design (1h)
• Hiring Manager meeting (45 min)

Recruitment stages, A call with Motife recruiter (30 min), Coding Interview (1h), Interview panel: architecture & system design (1h), Hiring Manager meeting (45 min)

additional-module

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.

About the project

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, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform