Staff Software Engineer - Data AI Agent

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{
  "lists": [
    {
      "text": "Primary Duties:",
      "content": "\n<li>Identify and develop scalable and performant solutions.&nbsp;</li>\n<li>Work across discipline to shape product strategy and execution.</li>\n<li>Develop the foundations of code architecture and quality.&nbsp;</li>\n<li>Mentor and coach engineers.</li>\n<li>Set and uphold the standard for engineering processes to support high-quality engineering.&nbsp;</li>\n"
    },
    {
      "text": "Minimum Qualifications:",
      "content": "\n<li>BS/BTech (or higher) in Computer Science, Engineering or a related field required.&nbsp;</li>\n<li>8+ years of production-level experience as an engineer building highly scalable systems.</li>\n<li>4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.</li>\n<li>4+ years of experience working with SQL or other database querying languages on large multi-table data sets.</li>\n<li>Experience architecting, developing, and deploying large-scale distributed systems at scale.</li>\n<li>Experience with cloud technologies, e.g., AWS, Azure, GCP.</li>\n<li>Experience building continuous integration and continuous development (CI/CD) pipelines.</li>\n<li>Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).</li>\n"
    },
    {
      "text": "Preferred KSAs:",
      "content": "\n<li>8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure.</li>\n<li>Experience in designing, building and optimizing data pipelines and ETL processes.</li>\n<li>Proficiency in working with both OLTP and OLAP database technologies (Postgres, Snowflake, Databricks.</li>\n<li>Experience with data modeling (bonus points for dbt experience).</li>\n<li>Experience building AI agents is a big plus (MCP tools, evals, feedback loop).</li>\n<li>Experience building and maintaining APIs (REST, GraphQL).</li>\n<li>Ability to drive projects and bring the team along - shaping work for other engineers is key.</li>\n<li>Familiarity with replication and pub-sub technologies (Kafka).</li>\n<li>Experience in performance monitoring and optimization of infrastructure (calibrating Kubernetes resources).</li>\n<li>Experience with containerization and orchestration technologies such as Docker and Kubernetes.</li>\n<li>Experience building continuous integration and continuous deployment (CI/CD) pipelines.</li>\n<li>Experience with security and systems that handle sensitive data.</li>\n"
    },
    {
      "text": "Physical Requirements:",
      "content": "\n<li>Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1778015310975,
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    "team": "Engineering",
    "location": "Remote, United States",
    "commitment": "Full Time",
    "department": "Technology",
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