Staff Software Engineer - Data AI Agent

Primary Duties:

• Identify and develop scalable and performant solutions.

• Work across discipline 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.

Physical Requirements:

• Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.