Engineer

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

Deploy and debug services, Helm charts, service mesh configuration, Kubernetes networking, storage, and runtime behavior

Support observability across Prometheus, Grafana, Fluent Bit, Loki, Kibana, OpenTelemetry, or similar tooling so issues can be detected and resolved quickly

Work with software and data engineers to understand service dependencies, data flows, and operational failure modes

Support data and MLOps workloads that may include Kafka, Flink, Pinot, KServe, Kubeflow, Ray, GPU-enabled workloads, and model-serving workflows

Write maintainable automation and small tools in Go, Java, Python, Bash, or similar languages to reduce manual effort and improve repeatability

Contribute to compliance-driven delivery practices aligned with RMF, STIGs, NIST 800-53, IL4/IL5/IL6, and customer-specific security requirements

Document operational procedures, deployment notes, troubleshooting steps, and lessons learned in a way other engineers can reuse

What we are looking for:

5 years of hands-on experience in DevSecOps, DevOps, platform engineering, cloud infrastructure, systems administration, cybersecurity engineering, or a closely related role

Working familiarity with Linux, containers, Docker, and Kubernetes concepts, including pods, services, deployments, config maps, secrets, ingress, and basic troubleshooting

Experience building, running, or supporting CI/CD pipelines; exposure to GitLab CI, GitHub Actions, Jenkins, Argo CD, Flux, or similar tools

Exposure to Infrastructure as Code or configuration management with Terraform, Ansible, Helm, Kustomize, or similar tooling

Understanding of foundational security practices such as least privilege, vulnerability management, container image scanning, secrets handling, secure configuration, and auditability

Ability to read application logs, inspect runtime configuration, use command-line tooling, and follow evidence to root cause

Basic scripting or programming ability in Go, Java, Python, Bash, or a comparable language

Interest in data platforms, streaming systems, MLOps, and operational AI/ML workloads; prior exposure to Kafka, Flink, KServe, Kubeflow, or Ray is a plus

Strong written communication and willingness to document work clearly for teammates, customers, and future operators

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 30%

Highly preferred:

Hands-on experience deploying applications with Helm or Kustomize in a Kubernetes environment

Exposure to GitOps workflows and continuous delivery across multiple environments

Familiarity with AWS or Azure fundamentals including IAM, networking, storage, compute, and managed Kubernetes services

Exposure to service mesh technologies such as Istio, including mTLS, traffic routing, and observability concepts

Familiarity with security and compliance frameworks used in government delivery, including RMF, STIGs, FedRAMP, NIST 800-53, and IL4/IL5/IL6 controls

Experience supporting air-gapped, disconnected, classified, or resource-constrained deployments

Exposure to SBOMs, SCA, SAST, DAST, container scanning, admission control, OPA/Gatekeeper, Kyverno, Sigstore, or similar supply chain security tooling

Existing TS/SCI clearance strongly preferred

What Success Looks Like

You reliably execute assigned deployment, automation, observability, and security tasks with clear communication and good follow-through

You can explain what changed, why it changed, how it was verified, and what risk remains

You grow quickly from following runbooks to improving them, then to owning small platform improvements end to end

Senior engineers trust you with well-defined operational work because you investigate carefully and escalate the right issues early

Security and compliance practices show up in your daily work: pipelines, manifests, secrets, images, documentation, and operational handoffs are kept clean

Clearance Requirements:

Active Secret Clearance Required; TS/SCI eligibility required

Salary Range: $120,000.00 - $160,000.00

Work Type:

Hybrid in HI with up to 30% travel

What we will offer you:

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

And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession with the mission.

Our Customer Obsession:

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and so