Cloud Engineer(software/Database)Federal Client
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.