The program delivers AI/ML-enabled applications, automation, and cloud data engineering on an AWS and Databricks platform, with an emphasis on secure, vendor-agnostic design. Work is performed remotely from the contractor site with occasional travel to the Washington, DC area.
Duties and Responsibilities
· Serve as the senior technical lead for cloud-native development, Databricks engineering, database optimization, and application integration.
· Design, build, secure, test, and deploy software, APIs, and automated data pipelines in AWS and Databricks environments.
· Lead the cloud engineering team's CI/CD, Git workflows, automated testing, and deployment practices.
· Develop AI/ML and agentic applications and tools alongside Government technical teams.
Required Qualifications
· Seven or more years of software development, database engineering, or full-stack development in enterprise environments.
· Bachelor's or master's degree in computer science, information systems, or engineering, or 15 years of equivalent experience.
· Hands-on Databricks experience (Workflows, Delta Lake, Structured Streaming, SQL Warehouses, Unity Catalog).
· Experience with Python, SQL, Spark, REST APIs, serverless functions, and AWS services such as Lambda, S3, IAM, KMS, Glue, ECS/EKS, and Step Functions.
· Experience with relational and NoSQL databases such as PostgreSQL, Aurora, and DynamoDB.
· At least one AWS certification (Developer Associate, Solutions Architect Associate or Professional, or equivalent).
· Experience with AI/ML DevSecOps and agentic AI development tools such as AWS Kiro, Databricks Agent Bricks, or similar.
Preferred Qualifications
· Prior DHS or CISA modernization or secure application development experience.
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