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Linux Infrastructure Automation Engineer

Job in Leesburg, Loudoun County, Virginia, 22075, USA
Listing for: FUSTIS LLC
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Systems Engineer, SRE/Site Reliability, IT Infrastructure, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

Role:
Linux Infrastructure Automation Engineer/Automation Services Engineer

Employment Type:
Full Time

Work setting:
Leesburg VA (Onsite Job)

Job Type: Full-Time
Interview: 2 round of virtual interview
Ideal Candidate Profile

  • Experience working in:
  • Infrastructure/platform teams
  • Service providers / MSPs
  • Environments where systems are built for others
  • Comfortable with:
  • Ambiguity
  • Not a fit for candidates who:
  • Only operate tools (don't build)
  • Prefer narrow specialization
Why Join This Team
  • Work on the core platform that powers engineering across the organization
  • High visibility and impact across multiple teams
  • Strong emphasis on automation, open-source, and modern infrastructure practices
  • Opportunity to work on emerging internal AI use cases
  • Broad technical exposure across systems, networking, CI/CD, and tooling
Position Summary

The client is hiring multiple Automation Services Engineers to join a growing team responsible for building the automation, tooling, and services that power internal engineering teams.

This team operates as a platform enablement function, creating the infrastructure, CI/CD validation pipelines, and automation frameworks that other teams depend on to reliably deliver outcomes.

The ideal candidate is a hands-on infrastructure generalist - someone who has worked with real systems in production and can build automation around them.

"Jack of all trades, master of none - but better than most."

What You'll Do
  • Build and maintain infrastructure automation frameworks using Ansible and related tools
  • Develop and manage CI/CD pipelines (Git Lab) for validation, testing, and deployment
  • Design and implement repeatable, reliable system configurations using infrastructure-as-code practices
  • Automate installation, configuration, patching, and validation of systems and services
  • Build and maintain nightly/continuous validation pipelines to detect drift and ensure system health
  • Integrate and "glue together" open-source tools and platforms into cohesive solutions
  • Support internal engineering teams by delivering platform services and automation tooling
  • Troubleshoot issues across:
  • Networking
  • Storage
  • Build or customize OS images for consistent deployments (Packer or similar tools)
  • Contribute to internal AI initiatives (locally hosted AI use cases and tooling)
  • Work within Git-based workflows (merge requests, code reviews, branching strategies)
Core Technical Requirements
  • Hands-on experience with one or more configuration/automation tools:
  • Ansible (preferred)
  • Puppet, Chef, Salt
  • Experience with:
  • CI/CD pipelines (Git Lab preferred)
  • Git-based workflows
  • Ability to:
  • Turn manual processes into automated, repeatable workflows
  • Work across a broad technical stack rather than a narrow specialty
Highly Desired Experience
  • Experience in:
  • Managed services providers (MSPs), hosting, or service providers
  • Supporting internal engineering teams
  • Experience with:
  • Image building tools (Packer strongly preferred)
  • Open-source infrastructure and software ecosystems
  • Networking fundamentals (routing, firewalls, connectivity troubleshooting)
  • Familiarity with:
  • Automating validation pipelines (including nightly checks)
  • Managing multi-environment configurations and inventories
What We're Looking For (Screening Focus)
  • Build vs Operate mindset - prefers creating systems/tools over manual ops work
  • True platform engineering orientation (building for other engineers)
  • Ability to connect systems and tools into cohesive platforms
  • Interest in locally hosted AI and emerging internal tooling initiatives
  • Automation-first thinking (idempotent, repeatable, testable systems)
  • Strong troubleshooting instincts across layers
  • Bias toward practical, maintainable solutions
  • Focus on:
  • Reliability
  • Observability
  • Documentation
  • Long-term ownership
Nice-to-Have Skills
  • Scripting or light development (Python, Bash, Go)
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