FDA - Platform Engineer

Rackner is a cloud-native consultancy where we enable Digital Transformation for enterprises and startups through the newest distributed technologies. We're laser focused on end-to-end application development,…

Location: Remote
Company size: 10–20
Posted: 4d ago
Via: Greenhouse

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Job listing · Updated 17 SEP 2026

FDA - Platform Engineer

Rackner· RemoteView company profile

Job title: FDA - Platform Engineer
Job location: Remote
Job listing URL: https://job-boards.greenhouse.io/rackner/jobs/4673526005
Job description: 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