Leidos's Intelligence Production Solutions Division (IPSD) is seeking a Mid-Level Systems Engineer for the Chinook Program on the Advanced Analyst Augmentation Analytical Cloud Enablement System (4ACES) team to manage and configure Databricks and AWS resources, support automation, and collaborate with cross-functional teams in a mission-driven environment.
Requirements
- Hands-on experience administering and supporting Databricks environments in an enterprise or mission-critical setting.
- Proven experience managing cloud infrastructure in AWS, including services like EC2, RDS, S3, IAM, and networking components.
- Experience developing and testing automation scripts.
- Experience documenting work instructions and configurations.
- Familiarity with security and compliance best practices in a classified cloud environment.
- Have or is willing to obtain within 6 months Security+ CE (or similar), required for privileged user (admin) access.
- Experience working within Agile/Scrum teams and using tools like Jira and Confluence.
Responsibilities
- Serve as a Databricks administrator, managing workspace configuration, user roles, cluster performance, and troubleshooting.
- Support AWS infrastructure services including EC2, S3, RDS, IAM, CloudWatch, and Lambda to maintain secure and scalable systems.
- Collaborate with data scientists, developers, and mission analysts to understand system requirements and translate them into effective engineering solutions.
- Develop and maintain infrastructure-as-code (IaC) using tools like CloudFormation or Terraform for consistent and repeatable deployments.
- Participate in Agile development processes, including sprint planning, daily standups, and retrospectives.
- Assist with system integration, security hardening, and operational readiness reviews.
- Produce and maintain system documentation in accordance with NGA standards.
Other
- Top Secret clearance with SCI required.
- Ability to successfully pass a Polygraph exam.
- US citizenship is required per contract.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field and 4-8 years or prior relevant experience or Master’s with 2-6 years of prior relevant experience.
- Strong problem-solving skills, attention to detail, and ability to work independently or collaboratively in a fast-paced setting.
