Staff Software Engineer - Data AI Agent

As part of your Staff Software Engineer - Data AI Agent role, you will focus on building and maintaining Data AI agent - a tool designed to automate data analysis use cases within Aledade. In this ambitious project, inspired by similar endeavors by other companies (e.g. - AI Data Agents by OpenAI and Pinterest), you will partner with stakeholders, propose design patterns, shape the work for yourself and your team, and iteratively deliver a solution that will deliver value and reduce manual work. You will help with data modeling, API maintenance and metadata governance. You enjoy being involved in every phase of the software development lifecycle - partnering with Product on requirements, creating design documents, building prototypes, writing user documentation and mentoring engineers. You are not afraid of diving into new technologies and can quickly get up to speed. You enjoy helping those around you, fostering a positive team culture and maintaining ownership of your work.

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.

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.