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    Home/Jobs/Staff Software Engineer - Data AI Agent

    Staff Software Engineer - Data AI Agent

    Aledade, Inc.

    United States
    8+ years
    Today
    ₹30–50 LPA
    Full-time
    Remote

    Skills Required

    Java
    Python
    Scala
    C#
    C++
    Go
    SQL
    AWS
    Azure
    GCP
    PostgreSQL
    Snowflake
    Databricks
    Docker
    Kubernetes

    Description

    As a Staff Software Engineer - Data AI Agent at Aledade, Inc., you will focus on building and maintaining a Data AI agent designed to automate data analysis use cases. You will partner with stakeholders, propose design patterns, and iteratively deliver a solution to reduce manual work.

    Company: Aledade, Inc.

    Role: Staff Software Engineer - Data AI Agent

    Location: Remote

    Experience:

    • 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
    • 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

    Key Skills:

    • SQL
    • Java
    • Python
    • Scala
    • C#
    • C++
    • Go
    • AWS
    • Azure
    • GCP
    • Server-side web technologies

    Qualification:

    • BS/BTech (or higher) in Computer Science, Engineering or a related field

    Role Focus:

    • 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

    Nice to have:

    • 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

    Other:

    • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
    • We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials.

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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