Staff DevSecOps Engineer (AI)

Location: US - remote with travel up to 50%

Salary: $182,750–$215,000 USD annually

Company

hirify.global builds secure, reliable AI infrastructure and agent workspaces for government, national security, and enterprise environments, including classified and disconnected networks.

What you will do

• Set the technical roadmap and architecture for Platform DevOps, customer deployments, release systems, and lifecycle automation.
• Lead technical alignment with mission owners, IT teams, security reviewers, and engineering stakeholders throughout customer delivery.
• Design repeatable provisioning, configuration, upgrades, backups, patching, GitOps, and deployment workflows across internal and customer environments.
• Own CI/CD, release infrastructure, artifact integrity, vulnerability posture, software supply-chain security, and remediation practices.
• Lead complex incident investigations, production reliability improvements, identity integrations, and secure deployment authorization evidence.
• Guide engineers while remaining hands-on with platform delivery and customer deployments.

Requirements

• Active US DoW or Intelligence TS/SCI clearance required.
• BS degree or higher in Computer Science, Engineering, or a related field.
• CompTIA Security+ certification.
• 6+ years in DevOps, DevSecOps, or software engineering, including technical leadership of complex initiatives and architectural direction across teams.
• Direct experience with customer technical and mission stakeholders, architectural tradeoffs, delivery planning, and hands-on deployment into customer environments.
• 4+ years deploying or managing software deployments in US Government classified networks.
• Strong cloud infrastructure and infrastructure-as-code experience, including networking, load balancing, IAM, compute, storage, and Terraform.
• Deep production experience with Kubernetes, Linux, Helm, GitOps systems such as FluxCD and Kustomize, and internal CI/CD infrastructure such as GitLab pipelines, self-hosted runners, and container registries.
• Experience with secure reproducible Docker builds, BuildKit or Buildx, multi-architecture images, artifact promotion, software supply-chain security, scanning, SBOMs, signing, and attestations.
• Experience with secure service networking, Istio, Kubernetes Gateway API, SOPS, Kyverno, cloud IAM, and least-privilege access controls.
• Experience operating PostgreSQL, Elasticsearch, Qdrant, and S3-compatible storage, including capacity planning, persistence, migrations, backups, restoration, upgrades, and failure recovery.
• Proficiency with Python or Bash, Git, YAML/JSON, and debugging across infrastructure and application boundaries.
• Strong knowledge of observability and incident diagnosis using metrics, logs, traces, Grafana, Prometheus, and OpenTelemetry, including SLOs and actionable alerting.
• Strong knowledge of identity federation using Keycloak and OIDC/OAuth2, including token validation and service authorization.
• Must be eligible to work in the US without sponsorship.

Nice to have

• Experience packaging and delivering software in restricted or disconnected environments using Defense Unicorns UDS Core or Zarf.
• Experience operating GPU workloads and model-serving infrastructure using NVIDIA GPU Operator or vLLM.
• Startup experience.

Culture & Benefits

• Hands-on technical leadership with influence over engineering architecture, development, release, and customer operations.
• Work on secure AI systems supporting government, national security, and enterprise missions.
• Competitive compensation, benefits, and professional growth and development support.
• Remote work from the US with travel up to 50%.