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FDA - Platform Engineer

Rackner
🌏 Worldwide
Remote
Senior
2 days ago
  • AI/ML
  • MLOps
  • DevSecOps
  • Kubernetes
  • Terraform
  • ArgoCD
  • Prometheus
  • Grafana
  • Loki
  • Trino
  • Dagster
  • dbt
  • AWS
  • EKS
  • IAM
  • Bedrock
  • Athena
  • GitOps
  • IaC
  • CI/CD
  • GitLab CI
  • Jenkins
  • Python
  • Bash
  • NIST
  • FISMA
  • AWS GovCloud
  • AIOps
  • Machine Learning
  • Secrets Management
  • Kubeflow
  • MLflow
  • Ray
  • Triton
  • Airflow
  • FedRAMP
  • Pension
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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-timeΒ 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 β€” 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 β€” 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" β€” 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 β€” 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 β€” golden-path app onboarding, tenant/environment management, an app & tooling catalog, and internal developer tooling/CLI
  • Run Kubernetes on AWS GovCloud β€” 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 β€” 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 β€” Trino/Iceberg on Glue + S3, Dagster orchestration, dbt, and search β€” so teams have reliable, performant data access
  • Deliver observability and SLOs β€” Prometheus, Grafana (including custom-built dashboards), and actionable alerting
  • Automate security and compliance β€” secrets management, network policy, IRSA least-privilege, policy-as-code, vulnerability remediation, and ATO artifact generation
  • Drive documentation and knowledge transfer β€” author and maintain platform docs, production-readiness standards, and runbooks
  • Partner directly with government stakeholders and platform tenants β€” 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 β€” 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 β€” 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
Β Β Hashtags for Visibility#PlatformEngineering #MLOps #Kubernetes #GitOps #Terraform #AWSGovCloud #DevSecOps #FederalHealth #DataPlatform #ClearanceJobs #RacknerCareers #Remote

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FDA - Platform Engineer Β· Rackner

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