Engineer
US$120,000 – US$160,000 / yr base salary
Posted 30 Sep 2026
Advertised as “Engineer ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$120,000 – US$160,000 / yr |
|---|
CertificationsSecurity+
This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.
Who we are:
Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.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 support time-sensitive decisions across multiple classification levels and deployment environments. Our systems move from cloud-hosted development environments into classified, on-premises, and edge deployments where reliability, security, and repeatability matter.
As an DevOps Engineer, you will help secure, deploy, and operate the platforms behind [R]DP, [R]AP, [R]AIMS, and Raft’s MLOps workflows. This is not a narrow infrastructure role. You will learn how the software works, how data moves through the platform, how Kubernetes workloads behave in production, and how security controls become part of everyday delivery rather than an after-the-fact checklist.
What makes this role different is the breadth of what you’ll be exposed to. CI/CD, GitOps, Kubernetes, Helm charts, observability, secure configuration, data pipelines, ML serving, and customer deployments all show up in the same workstream. You will work alongside experienced platform, software, data, and security engineers while taking ownership of well-scoped work. The right person is curious, disciplined, willing to troubleshoot deeply, and ready to grow into broader platform ownership over time.
What You’ll Do
- Implement, maintain, and troubleshoot Kubernetes-based platform infrastructure under the guidance of senior engineers
- Build and maintain CI/CD and GitOps workflows using tools such as GitLab CI, Argo CD, Flux, Helm, and repository-managed deployment configuration
- Support secure software delivery practices including container hardening, vulnerability scanning, image provenance checks, secrets hygiene, and policy-driven deployment gates
- Help operate cloud, on-premises, and disconnected deployments across AWS, Azure, data center, and tactical environments