Senior DevOps Engineer (Active TS/SCI Clearance)

Striveworks
Northern Virginia, VA
Hybrid

Who this role is best for

Aimed at senior DevOps engineers with experience in DOD environments and a strong background in Kubernetes and automation.

Best fit for

  • Candidates with hands-on Kubernetes and cloud-native experience in DOD networks
    — “deploy it and keep it running across commercial, unclassified, CUI, and classified DOD networks
  • Individuals who take ownership of problems and lead with technical expertise
    — “When there’s a problem without an owner, you take responsibility for it
  • Professionals with a track record of deploying and maintaining AI systems in production
    — “delivering the most trusted AI systems operating in real-world use cases

Things to consider

  • Active TS/SCI clearance and US citizenship are mandatory requirements
    — “Active TS/SCI security clearance and US citizenship
  • Travel and on-site customer support are part of the hybrid work model
    — “hybrid work model, combining remote work with on-site support at customer locations

How to stand out

  • Highlight experience with deploying systems in classified and CUI environments
    — “deploy it and keep it running across ... classified DOD networks
  • Emphasize your ability to define and own technical solutions across teams
    — “you take responsibility for it. New technologies are yours to explore
  • Showcase your background in automation, IaC, and containerized environments
    — “Automation and IaC, Diagnosing and resolving issues within containerized environments
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Define what needs to be built and deploy it and keep it running across commercial, unclassified, CUI, and classified DOD networks
Typical background
6+ years of direct, hands-on experience in DevOps

Skills & requirements

Required

Python And/or Golang ProgrammingMicroservices Deployment In KubernetesDiagnosing And Resolving Issues Within Containerized EnvironmentsHelm Chart And Kustomizations Development/deploymentAutomation And IacCloud InfrastructureManaging And Troubleshooting Linux SystemsActive Ts/sci Security Clearance And US CitizenshipEligibility And Willingness To Undergo A Counterintelligence (CI) Scope Polygraph

Preferred

Familiarity With DOD Networking, Tools, Infrastructure, Security Requirements, And PoliciesProficiency With US Federal Information System Security PoliciesExperience With Software Deployments To On-premises And Cloud-based Unclassified, CUI, And Classified Networks Within The DODExperience With Devsecops/devops And Ci/cd For The Administration And Deployment Of Gpu-enabled ServersExperience Deploying Or Maintaining CNCF ProjectsExperience With NAS And SAN TechnologiesExperience Working In A SCIFExperience With Kubernetes And Cloud-native Applications And Services In DDIL Environments

Stack & domain

PythonGoKubernetesHelm ChartKustomizationsAutomationIacCloud InfrastructureLinux SystemsDOD NetworkingToolsInfrastructureSecurity RequirementsPoliciesSoftware DeploymentsOn-premisesCloud-basedUnclassifiedCUIClassifiedDODDevSecOpsDevOpsCI/CDGpu-enabled ServersCNCF ProjectsNASSAN TechnologiesSCIFCloud-native ApplicationsServicesDDIL EnvironmentsAISecurityCloud

About the role

Original posting from Striveworks via Greenhouse

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks 

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.

Striveworks was built to solve that problem.

What you’ll build

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.

As a Senior DevOps Engineer, you are where the platform meets the mission. Our systems stay online and reliable in the field because of what you build, automate, and maintain. Working across teams, you’ll define what needs to be built; you’ll then deploy it and keep it running across commercial, unclassified, CUI, and classified DOD networks. When there’s a problem without an owner, you take responsibility for it. New technologies are yours to explore, and the engineers behind you will learn from watching you work.

What it’s like here

We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.

What we’re looking for

6+ years of direct, hands-on experience in:

Python and/or Golang programming, or other general purpose programming languages

Microservices deployment in Kubernetes

Diagnosing and resolving issues within containerized environments

Helm Chart and Kustomizations development/deployment

Automation and IaC

Cloud infrastructure

Managing and troubleshooting Linux systems

Active TS/SCI security clearance and US citizenship, as well as eligibility and willingness to undergo a Counterintelligence (CI) Scope Polygraph if required 

The following isn’t required, but we’d love to see it:

Familiarity with DOD networking, tools, infrastructure, security requirements, and policies

Proficiency with US federal information system security policies, including STIGs, NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503

Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD

Experience with DevSecOps/DevOps and CI/CD for the administration and deployment of GPU-enabled servers

Experience deploying or maintaining CNCF projects

Experience with NAS and SAN technologies

Experience working in a SCIF

Experience with Kubernetes and cloud-native applications and services in DDIL environments

This position follows a hybrid work model, combining remote work with on-site support at customer locations in the Northern Virginia area, with up to 10% travel. 

Compensation

The anticipated base pay range for this position is $185,000–$230,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

Benefits include:

Medical/dental/vision insurance

Voluntary life, long-term disability, accident, and hospital indemnity insurance

HSA and FSA (including dependent care FSA) plans

401(k) plan

Unlimited PTO

Paid parental leave

Ready to build systems that work for a mission that matters? Let’s talk.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Source: Striveworks careers (Greenhouse)

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