Senior Backend Engineer (Kotlin)

MOTIFE is a trusted partner for tech companies choosing Poland to build and grow their engineering and software development capabilities. We help software companies, startups, fintechs, technology companies, and industry disruptors with their IT recruitment and, wherever necessary, advisory in setting up a presence in Poland and daily operations. Our end-to-end support helps us build long-term relationships with new IT players, which means we can offer some of the most interesting career opportunities for skilled software and IT professionals.

• 6+ years of experience building high-performance, scalable backend systems as Senior or 4+ years as 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)
• 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
• 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

• 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
• Lead technical discussions, architecture reviews, and design decisions across teams
• Define and promote reusable patterns, components, and engineering standards
• Identify system bottlenecks using monitoring, tracing, and load testing tools
• Optimize performance through data modeling, caching strategies, and query improvements
• Champion best practices including CI/CD, automated testing, observability, and infrastructure as code
• Maintain high standards for code quality, scalability, and maintainability