Senior DevOps Engineer

S. based position. S.

citizenship to be eligible for employment. S.

Who We Are

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development.

With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About The Role

: Raft builds mission-critical data, AI, and operational platforms that process high-volume sensor, operational, and mission data across multiple classification levels. These platforms must run reliably in cloud-hosted, classified on-premises, disconnected, and edge environments where security, repeatability, and customer trust are non-negotiable. As a Senior DevOps Engineer, you will own the secure delivery patterns behind [R]DP, [R]AP, [R]AIMS, and Raft’s MLOps deployments.

You will design and harden Kubernetes-based platform architecture, improve GitOps and CI/CD workflows, automate compliance evidence, mentor engineers, and work directly with software, data, ML, security, and customer teams to keep mission systems deployable and trustworthy. This role requires more than infrastructure fluency. You should be comfortable reading application code, understanding data pipelines, debugging distributed systems, navigating regulated delivery constraints, and making pragmatic tradeoffs between security, delivery speed, operability, and mission urgency.

You will shape the golden paths that teams use to deliver secure mission software: Helm and GitOps patterns, hardened runtime configuration, supply chain controls, observability, compliance automation, ML serving, and deployment practices across cloud and classified environments.

What You’Ll Do

Design, implement, and continuously improve secure Kubernetes platform patterns for cloud, on-premises, disconnected, classified, and edge deployments Own CI/CD and GitOps delivery architecture using GitHub Workflows, GitLab CI, Argo CD, Flux, Helm, Kustomize, and repository-managed configuration across multiple environments and classification levels Lead DevSecOps practices including secure baselines, container hardening, SBOM generation, image signing, vulnerability management, dependency risk reduction, admission policy, secrets hygiene, and compliance-aware deployment gates Develop and maintain Infrastructure as Code with Terraform, Ansible, Helm, and supporting automation to make platform provisioning, upgrades, rollback, and environment promotion repeatable Partner with software, data, and ML engineers to understand service architecture, pipeline behavior, model-serving

Requirements

, runtime dependencies, and production failure modes Support and optimize data-intensive and MLOps workloads using technologies such as Kafka, Flink, Pinot, KServe, Kubeflow, Ray, GPU-enabled nodes, and model-serving pipelines Build and refine observability patterns using Prometheus, Grafana, Fluent Bit, Loki, Kibana, OpenTelemetry, Jaeger, Tempo, and alerting workflows that help teams diagnose issues quickly Debug complex Kubernetes, Helm, service mesh, Istio, networking, storage, identity, and runtime issues across multi-cluster and multi-environment topologies Automate compliance evidence and improve deployment practices aligned with RMF, STIGs, FedRAMP, NIST 800-53, IL4/IL5/IL6, and customer-specific security controls Write clean, maintainable automation and platform tooling in Go, Java, Python, Bash, or similar languages to reduce toil and improve developer experience Mentor junior engineers, establi