Requirements
- 5+ years of relevant hands-on experience in DevOps or platform engineering roles.
- 5+ years of production experience with Docker and Kubernetes, including provisioning, operating, and troubleshooting clusters in real-world environments
- Strong experience building and maintaining CI/CD pipelines, with hands-on proficiency in GitLab CI, GitOps workflows (Flux, ArgoCD), and modern software delivery practices
- Experience supporting data-intensive platforms using streaming technologies such as Kafka, or Flink, including configuration, tuning, and operational support
- Solid understanding of data engineering fundamentals, including ETL/ELT pipeline design, data storage patterns, data governance concepts, and integration with downstream consumers
- Proficiency with Infrastructure as Code tooling, particularly Terraform; experience with Ansible or similar configuration management tools
- Strong Helm proficiency, including authoring and maintaining charts for complex multi-service deployments
- Hands-on experience with platform observability tooling: Prometheus, Grafana, Fluentbit, Loki or Elasticsearch/Kibana
- Demonstrable software development skills in Java and/or Go, comfortable reading, modifying, and contributing to application codebases, not just deploying them
- Experience with cloud infrastructure on AWS and/or Azure, including networking, IAM, storage, and managed Kubernetes services
- Strong systems thinking, troubleshooting discipline, and the ability to work independently in a fast-moving environment with competing priorities
- Experience applying secure and compliant deployment practices in regulated or government environments
- Active Secret clearance required; must be eligible for and willing to obtain a Top Secret/SCI clearance
- Ability to obtain Security+ certification within the first 90 days of employment
- Ability to travel up to 25%
Nice to Have
- Experience with service mesh technologies, particularly Istio, including traffic management, mTLS, and observability integration
- Familiarity with Kubernetes-based ML/AI platforms such as Kubeflow, KServe, or Ray, and experience supporting GPU-enabled workloads
- Experience with software supply chain security tools including container image scanning, SBOM generation, and runtime vulnerability management
- Background supporting deployments across multiple classification levels or air-gapped / disconnected environments
- Experience with package and dependency management across polyglot environments (Maven, Gradle, NPM, Yarn, pip)
- Familiarity with compliance frameworks relevant to DoW software deployment, including RMF, STIGs, and IL4/IL5/IL6 requirements
- Contributions to or ownership of internal developer platforms, golden path tooling, or shared infrastructure services
- Experience with distributed tracing and APM tooling (e.g., OpenTelemetry, Jaeger, Tempo)
- Existing TS/SCI clearance
Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision coverage
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Generous Referral Bonuses
Work Arrangement
Hybrid
Additional Information
- U.S. citizenship required
- All work must be conducted within the continental U.S.
- Active Secret clearance required to start; TS/SCI eligibility required
- Ability to travel up to 25%
