FDA - Platform Engineer
Posted Updated 2
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Summary
Rackner is hiring a Senior Platform Engineer to build and operate a secure, multi-tenant internal developer platform on AWS GovCloud for a federal health mission (FDA). Day-to-day work centers on Kubernetes/EKS, Terraform, ArgoCD GitOps, MLOps (SageMaker/Bedrock), and a data lakehouse, serving data science and application teams.
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
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
Skills
- AI
- Airflow
- Analytics
- API
- Argo CD
- Athena
- Automation
- AWS
- Bash
- CI/CD
- CLI
- Cloud
- Cloud Native
- Container Security
- Dagster
- Data Engineering
- Data Science
- dbt
- DevSecOps
- EKS
- Fedramp
- Flux
- Generative AI
- GitLab
- GitOps
- Grafana
- IAM
- Infrastructure as Code
- Jenkins
- Kubeflow
- Kubernetes
- Lakehouse
- Loki
- Machine Learning
- MLflow
- MLOps
- Nist
- Observability
- Prometheus
- Python
- S3
- SageMaker
- Secrets Management
- Spark
- Terraform
- Trino
- Triton
- Vulnerability Scanning
As published by greenhouse · 13 questions
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
- Preferred First Name optional
- LinkedIn Profile optional
- Website optional
- What is your work authorization status?
- Will you now or in the future require employer sponsorship to obtain or maintain authorization to work in the United States?
- This position requires an active Public Trust clearance. Do you currently hold an active Public Trust clearance?
- Do you have 7+ years in Platform Engineering, DevSecOps, Site Reliability, or Cloud Engineering, with senior-level ownership of a production platform?
- Have you 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
- Do you have 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)?
- Do you have deep expertise with Kubernetes (EKS), GitOps (ArgoCD or Flux), and Terraform infrastructure-as-code
- Have you designed for self-service: golden paths, multi-tenancy, and onboarding that lets teams ship safely without a platform engineer in the loop?
- Do you have a strong CI/CD background (GitLab CI, Jenkins, ArgoCD, and progressive delivery)?
- What is your desired salary range?