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FDA - Platform Engineer

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FDA - Platform Engineer in USA new

  • Rackner
  • Full time
  • Email
  • Remote

Responsibilities

  • Own the Terraform and ArgoCD IaC/GitOps foundation, including ApplicationSets, declarative delivery, self-healing, and recovery.
  • Build and operate a multi-tenant, self-service internal developer platform with golden-path onboarding, tenant and environment management, catalogs, and internal tooling.
  • Run Kubernetes on AWS GovCloud across environments, including autoscaling, ingress, Gateway API, certificate management, and ALB integration.
  • Architect and deploy AIOps/MLOps capabilities for data science and data engineering teams, including GPU scheduling, model training and serving, managed notebooks, GenAI workloads, and ML pipelines.
  • Enable a reliable data lakehouse with Trino/Iceberg, Glue, S3, Dagster, dbt, and search capabilities.
  • Deliver observability, SLOs, dashboards, alerting, security automation, secrets management, network policy, least-privilege access, vulnerability remediation, and ATO artifacts.
  • Partner with government stakeholders and platform tenants, document the platform, maintain runbooks and production-readiness standards, and mentor teammates.

Requirements

  • At least 7 years of experience in Platform Engineering, DevSecOps, Site Reliability, or Cloud Engineering, including senior ownership of a production platform.
  • Experience building an internal developer platform or PaaS from the ground up for federal clients and taking it through production and ATO.
  • Extensive hands-on experience with Kubernetes, Terraform, ArgoCD or Flux, cloud-native and data-platform tooling, and AWS services.
  • Deep expertise in Kubernetes/EKS, GitOps, Terraform infrastructure as code, self-service platform design, multi-tenancy, and onboarding automation.
  • Strong CI/CD experience with GitLab CI, Jenkins, ArgoCD, and progressive delivery, plus automation and scripting with Python, Bash, and Go.
  • Working knowledge of NIST 800-53, FISMA, ATO processes, GovCloud, and regulated environments.
  • U.S. citizenship and ability to obtain and maintain a Public Trust are required; active Public Trust is a plus.
  • Preferred qualifications include production MLOps/AIOps, SageMaker, Bedrock, Kubeflow, MLflow, Ray, KServe, Triton, Seldon, GPU scheduling, federal health or regulated data programs, lakehouse technologies, FedRAMP, air-gapped environments, policy-as-code, container security, SBOMs, vulnerability scanning, Kubecost, and documentation-practice experience.

Benefits

  • Fully remote U.S. position with weekly pay.
  • Paid certifications and training for relevant technologies.
  • 401(k) with 100% match up to 6%, PTO, medical, dental, vision, life, and disability insurance.
  • Gym or fitness membership, home office setup, swag, snacks, and social events.

Rackner

Rackner is a cloud-native software consultancy that delivers DevSecOps, AI/ML, Kubernetes, and edge-computing solutions for startups, enterprises, and U.S. federal agencies across public and private clouds. Founded in 2015 and headquartered in Silver Spring, Maryland, it is privately held and a K...

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