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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
IT
Seniority Level:
Senior