Staff Software Engineer - Data AI Agent

Aledade; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Aledade is seeking a Staff Software Engineer specializing in Data AI Agent development to automate data analysis use cases. The role involves building scalable solutions, maintaining data AI agent tools, and mentoring engineers while ensuring high-quality engineering processes. Candidates should have significant experience in building scalable infrastructure, SQL usage, cloud technologies, and creating CI/CD pipelines. This position provides an opportunity for career growth within a collaborative environment focused on continual learning.

Qualifications

• 8+ years of experience in building highly scalable systems.
• 4+ years of experience as a technical decision-maker in team settings.
• Experience working with large multi-table datasets using SQL.
• Familiarity with designing and optimizing data pipelines.

Responsibilities

• Identify and develop scalable and performant solutions.
• Mentor and coach engineers.
• Uphold engineering processes supporting high-quality standards.

Skills

Building scalable systems

SQL and database querying

Cloud technologies (AWS, Azure, GCP)

Server-side web technologies (Java, Python)

CI/CD pipelines

Education

BS/BTech in Computer Science or related field

Tools

Docker

Kubernetes

Postgres

Snowflake

Databricks

Job description

Overview

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.