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# Site Reliability Engineer

- **Company:** Leidos, Inc.
- **Location:** Aldie, VA, United States
- **Salary:** $87,100 - $157,450
- **Contract:** Permanent contract
- **Skills:** Bash Shell, Computer Programming, Computer Networks, Computer Engineering, System Configuration, Software Debugging, Linux, File Systems, Distributed Data Store, Distributed Systems, Elasticsearch, Fault Tolerance, Monitoring of Systems, Python (Programming Language), Network Planning and Design, Reliability Engineering, Ansible, Prometheus, AI Infrastructure, Data Logging, Data Processing, Delivery Pipeline, Grafana, Build Management, Information Technology, Deployment Automation, Data Management, Terraform, Golang
- **Published:** November 3, 2026
- **Apply:** https://www.careerjet.com/job/us8ee67a9d6eb0ceab38a9f9f5b8059387/eaa

## About the Role

* Enthusiasm for learning new stuff.

 * Bachelor's degree in Computer Science, Computer Engineering, a related field, or amazing equivalent skills.

 * Strong experience administering and troubleshooting Linux systems.

 * Experience with Linux networking, storage, and file systems.

 * Experience automating system configuration and deployment.

 * Experience with Nix and/or NixOS in production, lab, or significant personal environments.

 * Python, Go, Bash, or similar scripting/programming experience of 2+ years.

 * Ability to debug complex systems methodically across multiple layers of the stack.

Nice-to-Have Qualifications:

 * Deep experience with NixOS, including custom modules, overlays, flakes, packaging, and reproducible deployments.

 * Experience operating fleets of Linux systems.

 * Infrastructure-as-code experience with Nix, Terraform, Ansible, or similar tooling.

 * Experience designing highly available or fault-tolerant systems.

 * Monitoring and observability experience with tools such as Prometheus, Grafana, Loki, OpenTelemetry, Elasticsearch, or similar systems.

## Description

Hello! We're a small team in a fun company looking for someone to come in and help us build systems that stay reliable when things get complicated.
We need a Site Reliability Engineer who has experience building, deploying, automating, and operating complex compute platforms. You'll work across infrastructure, Linux systems, networking, distributed storage, observability, security, and deployment automation, with a particular emphasis on creating systems that are reproducible, maintainable, resilient, and easy to operate.
A major part of this role will involve Nix and NixOS. We want someone who appreciates declarative systems, reproducible environments, infrastructure-as-code, and reducing configuration drift. You may be building NixOS-based servers, improving deployment pipelines, developing reusable Nix modules, debugging distributed systems, or making sure a platform can be rebuilt predictably from scratch.
Critical components of the environment may include high-performance compute, distributed Linux file systems, network design, security-in-depth, ML/AI infrastructure, high-bandwidth data processing, cloud deployment, and fielded systems.
You don't need to be an expert at everything. Whatever part you bite off, though, will be yours to own. This is a great opportunity to apply deep systems expertise while learning adjacent areas.
Our team needs your help making sure our customers are repeatedly provided with operational insights from a multi-domain data environment-and that the infrastructure producing those insights is dependable, observable, reproducible, and recoverable.
These Are the Things You'll Get to Do:

 * Own the reliability and operation of critical compute and data platforms.

 * Design, deploy, and maintain Linux infrastructure, including NixOS-based systems.

 * Build reproducible system configurations and deployment workflows using Nix and infrastructure-as-code.

 * Develop reusable NixOS modules, packages, flakes, and system configurations.

 * Improve platform resilience, fault tolerance, recoverability, and maintainability.

 * Build monitoring, logging, alerting, and observability capabilities that help us understand system behavior before customers notice problems.

 * Diagnose difficult failures across Linux, networking, storage, containers, and distributed systems.

 * Automate repetitive operational tasks and eliminate configuration drift.

 * Design and build security and maintainability components for deployed systems.

 * Help define operational standards, deployment practices, upgrade strategies, and disaster-recovery procedures.

 * Perform capacity planning and identify performance bottlenecks across compute, storage, and networking.