Senior Systems Engineer

Job Description

Description

Leidos National Security Sector combines technology-enabled services and mission software capabilities in the areas of cyber, logistics, security operations, and decision analytics to support our defense and intel customers’ mission to defend against evolving threats around the world. Our team’s focus is to ensure our customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets.

The Intelligence Production Solutions Division (IPSD), part of the Decision Advantage Solutions Business Area is currently seeking a Senior Systems Engineer for the Chinook Program on the Advanced Analyst Augmentation Analytical Cloud Enablement System (4ACES) team. The ideal candidate will have experience with Databricks administration, and solid proficiency in AWS cloud services. This role demands both technical depth and the ability to collaborate with cross-functional teams in a mission-driven environment.

The position combines software development and Commercial Off-The-Shelf (COTS) administration skills, providing on-the-job training (OJT) where you will configure, document and configuration control Databricks resources (e.g., users, workgroups, compute pools, clusters, and related JSON) and AWS resources (e.g., S3 buckets and IdAM policies). You will support automation opportunities (e.g., new reports; administration productivity tools) and service metrics collection and reporting. The position supports multiple Virtual Private Cloud (VPC) Databricks deployments (shards) with 400+ users and data scientists located worldwide. You will collaborate with customers, user workgroups, and vendors to manage the 4ACES platform

Clearance Level Required :

Top Secret clearance with SCI required. Ability to successfully pass a Polygraph exam.

Primary 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.

Basic Qualifications :

Preferred Qualifications :

Multi-cloud architectures : AWS, IBM, Google, Azure, and Oracle.

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”

Original Posting : October 3, 2025

For U.S. Positions : While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range : Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.