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Software Systems Engineer - Consequence Systems, Onsite

Remote / Online - Candidates ideally in
New Mexico, USA
Listing for: Sandia National Laboratories
Part Time, Remote/Work from Home position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity, IT Support
Salary/Wage Range or Industry Benchmark: 87400 - 168800 USD Yearly USD 87400.00 168800.00 YEAR
Job Description & How to Apply Below
Software Systems Engineer - High Consequence Systems, Onsite

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide

Extraordinary co-workers

Some of the best tools, equipment, and research facilities in the world

Career advancement and enrichment opportunities

Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)

Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

* These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a highly motivated Software Systems Engineer to serve as a developer and architect for a multidisciplinary team delivering high-impact national security systems. You will investigate, gather requirements, design, develop, test, document, and analyze software systems and applications that integrate IT knowledge with modern tools and best practices.

On any given day, you may be called on to:

Develop systems for high-consequence decision-making systems using Python, Bash, Ansible, and other automation tools.

Collaborate via Git and Git Lab, practicing feature-branch workflows, pull-requests, commit-deconfliction, and CI/CD pipelines.

Deploy solutions in Linux (RHEL & Ubuntu) environments using containers (Docker, Kubernetes), schedulers (cron, systemd, SLURM), and cloud/container registries.

Recognize where and when to use compiled binaries vs. interpreted scripts and software vs. hardware acceleration for performance tuning.

Ensure operational excellence by following relevant security standards, applying timely patches, and hardening systems.

Continuously learn new technologies, upgrade existing software/hardware stacks, and mentor teammates.

Due to the nature of this work, the selected candidate must be able to work onsite.

Salary Range:

$87,400 - $168,800

* Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

Qualifications We Require:

Bachelor's degree in computer science, software engineering, or a relevant computing field.

3+ years of experience with software engineering and computer science on high-consequence information systems.

Experience with programming languages and systems such as Ansible, Python, Bash, Linux, and containers.

Ability to obtain and maintain a DOE Q clearance.

Qualifications We Desire:

Master's degree in CS, Software Engineering, or a closely related field.

Linux expertise: OS internals, shell environments (vim, bash, etc.), and system administration

Configuration management and automation experience. (Ansible, Puppet, Chef, Salt)

Containerization and orchestration experience: authoring Dockerfiles, Docker Compose scripting, publishing to Nexus/Harbor/Git Lab registries. Exposure to Kubernetes or similar is beneficial.

CI/CD and scheduling experience which may include cron/systemd timers, SLURM or Kubernetes job workflows, bash-based pipelines, and/or Git Lab runners.

Basic understanding of networking fundamentals: TCP vs. UDP, ports and firewalls, DHCP, DNS, and secure…

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