Staff Software Engineer - Data AI Agent

Primary Duties

• Identify and develop scalable and performant solutions.
• Work across disciplines to shape product strategy and execution.
• Develop the foundations of code architecture and quality.
• Mentor and coach engineers.
• Set and uphold the standard for engineering processes to support high-quality engineering.

Minimum Qualifications

• BS/BTech (or higher) in Computer Science, Engineering or a related field required.
• 8+ years of production-level experience as an engineer building highly scalable systems.
• 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
• Experience architecting, developing, and deploying large-scale distributed systems at scale.
• Experience with cloud technologies, e.g., AWS, Azure, GCP.
• Experience building continuous integration and continuous development (CI/CD) pipelines.
• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).

Preferred KSAs

• 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure.
• Experience in designing, building and optimizing data pipelines and ETL processes.
• Proficiency in working with both OLTP and OLAP database technologies (Postgres, Snowflake, Databricks).
• Experience with data modeling (bonus points for dbt experience).
• Experience building AI agents is a big plus (MCP tools, evals, feedback loop).
• Experience building and maintaining APIs (REST, GraphQL).
• Ability to drive projects and bring the team along - shaping work for other engineers is key.
• Familiarity with replication and pub-sub technologies (Kafka).
• Experience in performance monitoring and optimization of infrastructure (calibrating Kubernetes resources).
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience building continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with security and systems that handle sensitive data.