aledade - Staff Software Engineer - Data AI Agent
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Requirements
• 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. • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
Responsibilities
• 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.
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