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Open nowPosted 52 days ago

FDA - Platform Engineer

Rackner17 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowFDA - Platform EngineerRackner · Remote

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Rackner postings stay open a median of 31 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 52 days ago

Rackner median: 31 days open

The posting

Senior Platform Engineer Location: Remote (U.S.) Clearance: U.S. Citizenship required; must be able to obtain and maintain a Public Trust (active Public Trust a plus) Employment Type: Full-time

Make an Impact on Federal Health:

  • Join Rackner to build and operate the secure, cloud-native platform that powers data, analytics, and AI/ML for a federal health mission.
  • You won't just run infrastructure — you'll own the internal developer platform that data scientists, data engineers, and application teams build on every day.
  • Shape where it goes next: production-grade MLOps, self-service onboarding, and a paved road from commit to GovCloud.

Who You Are:

  • 7+ years in Platform Engineering, DevSecOps, Site Reliability, or Cloud Engineering, with senior-level ownership of a production platform
  • Built an internal developer platform / PaaS from the ground up for federal clients — and taken it to production (through ATO) in a federal program, not just contributed to one
  • Extensive hands-on experience across both the open-source cloud-native/data ecosystem (Kubernetes, Terraform, ArgoCD, Karpenter/KEDA, Prometheus/Grafana/Loki, Trino, Dagster, dbt) and the AWS services that back them (EKS, S3, Glue, IAM/IRSA, ECR, SageMaker, Bedrock, Athena)
  • Deep expertise with Kubernetes (EKS), GitOps (ArgoCD or Flux), and Terraform infrastructure-as-code
  • Designs for self-service: golden paths, multi-tenancy, and onboarding that lets teams ship safely without a platform engineer in the loop
  • Strong CI/CD background (GitLab CI, Jenkins, ArgoCD, and progressive delivery)
  • Fluent automation and scripting (Python, Bash, Go)
  • Working knowledge of federal compliance (NIST 800-53, FISMA, ATO processes); comfortable in GovCloud/regulated environments
  • Treats documentation and knowledge transfer as part of "done" — clear docs and runbooks come naturally
  • A people person and problem-solver who's comfortable being client-facing, wearing many hats, mentoring teammates, and growing into technical leadership

What You'll Do:

  • Own the IaC + GitOps foundation — evolve Terraform and ArgoCD (ApplicationSets) so the platform is declarative, self-healing, and recoverable from scratch
  • Build and operate a multi-tenant, self-service platform — golden-path app onboarding, tenant/environment management, an app & tooling catalog, and internal developer tooling/CLI
  • Run Kubernetes on AWS GovCloud — Karpenter and KEDA autoscaling, ingress and Gateway API, cert-manager, and ALB integration across dev/pre-prod/production
  • Architect and deploy AIOps/MLOps for data science and data engineering teams — GPU compute and scheduling, model training and serving, managed notebooks (e.g., SageMaker), GenAI/Bedrock workloads, and production-grade ML pipelines
  • Enable the data lakehouse — Trino/Iceberg on Glue + S3, Dagster orchestration, dbt, and search — so teams have reliable, performant data access
  • Deliver observability and SLOs — Prometheus, Grafana (including custom-built dashboards), and actionable alerting
  • Automate security and compliance — secrets management, network policy, IRSA least-privilege, policy-as-code, vulnerability remediation, and ATO artifact generation
  • Drive documentation and knowledge transfer — author and maintain platform docs, production-readiness standards, and runbooks
  • Partner directly with government stakeholders and platform tenants — translate mission needs into platform capabilities, with room to grow into a technical leadership role

Preferred / Bonus:

  • Hands-on MLOps/AIOps production experience for DS/DE teams — SageMaker, Bedrock, Kubeflow, MLflow, Ray, KServe/Triton/Seldon, or GPU workload scheduling
  • Experience with federal health or other regulated federal data programs
  • Data platform / lakehouse experience — Trino/Presto, Iceberg, Spark, Dagster/Airflow, dbt
  • AWS GovCloud, IL4/IL5, FedRAMP, or air-gapped environment experience
  • Policy-as-code (OPA/Gatekeeper, Kyverno), container security, SBOMs, and vulnerability scanning
  • Kubecost/cloud cost management
  • Experience establishing a documentation practice and production-readiness standards

Who We Are:

  • Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector
  • We enable digital transformation through DevSecOps, platform engineering, AI/ML, and cloud-first innovation
  • Join a team that thrives on solving high-impact problems and delivering secure, scalable systems for federal missions

Why You'll Love Working Here:

  • Weekly Pay & Fully Remote
  • Professional Growth – Paid certifications and training for relevant technologies
  • Comprehensive Benefits – 401k (100% match up to 6%), PTO, medical/dental/vision, life & disability insurance
  • Work-Life Perks – Gym/fitness membership, home office setup, swag, snacks, and social events

Hashtags for Visibility

#PlatformEngineering #MLOps #Kubernetes #GitOps #Terraform #AWSGovCloud #DevSecOps #FederalHealth #DataPlatform #ClearanceJobs #RacknerCareers #Remote

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