People.ai - Senior Software Engineer — Matching
Requirements
• 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
Responsibilities
• 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.
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