Design and implement core backend services and data pipelines.
Perform data-driven research using big data and leveraging Data Science toolset
Document design choices and operational knowledge to successfully deploy and run services.
Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
Ensure robust alerting, dashboards, and runbooks for production services are in place.
Collaborate within the team and with other engineering teams to build new features and products according to business needs.
Follow software design and development best practices and promote such practices in the team.

5+ years of professional experience working on backend systems in an enterprise environment
3+ years experience with data analysis / data science tasks and/or ML
2+ years experience programming in Python 2.x/3.x or Scala or Java
Experience with AI development tools (especially agentic AI) is a plus
Experience developing systems based on LLM is a plus
Understanding of SOA, microservices, and event-driven architecture
Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases
Strong knowledge of TDD, Unit, and automated test paradigms
Experience with SQL and RDBMS solutions
Experience with large-scale data processing (Spark)
Experience with Elasticsearch is a plus
Experience with containerized applications, Docker, and Kubernetes
Possess a DevOps mindset, AWS experience is a plus
Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

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