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Platform Engineer

About GovSignals

We are shaping the future of government contracting with breakthrough AI‑driven solutions. We are disrupting a multi-billion-dollar industry and enabling private‑sector technologies to secure government contracts faster than ever, strengthening national security and driving economic growth.

GovSignals has built the most advanced government‑contracting AI platform available. From small businesses to Fortune 500 enterprises, our platform multiplies the opportunities contractors can pursue and empowers them to deliver fully compliant, winning proposals in hours instead of months. As one of the largest aggregators of U.S. government data, we set trends rather than follow them.

The Role:

As the first dedicated Platform Engineer, you will work directly with the CTO to scale our Kubernetes‑based AWS infrastructure and edge runtime Cloudflare infrastructure. You will collaborate with engineering leadership to architect, automate, and observe everything from Cloudflare Workers at the edge to modern Container deployments in highly secure clusters. Your work will accelerate DevX for our Product Engineers and ensure compliance posture and customer trust. We expect you to view building a great Platform as a means to an end to accelerate growth for the Product and for Customers, not an end in itself.

Key Responsibilities

  • Architect and ship Cloudflare Workers written in TypeScript for real‑time data ingestion, API routing, and zero‑trust security at the edge.

  • Operate and scale Kubernetes on EKS by designing, hardening, and expanding our multi‑cluster AWS environment for high‑throughput AI and data workloads.

  • Work with modern PaaS tools to leverage best-in-class external providers when applicable. Work with open-source versions of these to self host them when necessary.

  • Leverage modern minimal-container toolchains and secure build pipelines to ensure provenance, reduce surface area, and meet compliance requirements.

  • Build reusable CI/CD pipelines using GitHub Actions, Helm, and more that deliver both code and infrastructure safely and repeatably.

  • Integrate and manage our Postgres data layer for storage, row‑level security, and authentication workflows across internal and customer‑facing applications.

  • Instrument systems with Prometheus, Loki, Grafana, and distributed tracing through OpenTelemetry and Tempo to achieve 99.99 percent uptime and clear SLOs.

  • Champion DevSecOps best practices, including automated vulnerability scanning, secret management, and contribute to FedRAMP and NIST readiness.

  • Partner with the broader engineering team and product to plan capacity, refine SLAs, and accelerate DevX (Developer Experience) for our product engineers.

Qualifications

  • Two or more years running production Kubernetes or EKS environments at scale.

  • Deep expertise with Docker and container fundamentals.

  • Proven experience authoring Terraform‑driven AWS infrastructure.

  • Proficient in TypeScript or Javascript and comfortable working with Cloudflare Workers, Node services, and related tooling.

  • Solid CI/CD and GitOps background using GitHub Actions and automated testing.

  • Experience with observability stacks like Prometheus, Grafana, and Alertmanager.

  • Bonus experience with Open Source contributions: Zero Trust networking, Postgres performance tuning, FedRAMP High, NIST 800‑171, or CMMC Level 2, FinOps cost-optimization, and AI tooling for DevX.

Why Join GovSignals?

  • Top‑tier compensation for top‑tier engineers.

  • Premium benefits, including medical, dental, vision, and unlimited PTO.

  • Work fully remote with flexible hours and a modern tech stack.

  • Build at the frontiers of high-compliance AI, edge computing, and Kubernetes.

  • Join a mission‑driven team shaping the future of government contracting while advancing American innovation and security.

Ready to keep public‑sector AI services fast, reliable, and secure? Apply now and help us build the platform that powers the next generation of government solutions.

Average salary estimate

$140000 / YEARLY (est.)
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$120000K
$160000K

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Full-time, remote
DATE POSTED
July 30, 2025
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