FDA - Platform Engineer at Rackner

<div> <div><strong>Senior Platform Engineer</strong><br><strong>Location</strong>: Remote (U.S.)<br><strong>Clearance</strong>: U.S. Citizenship required; must be able to obtain and maintain a Public Trust (active Public Trust a plus)<br><strong>Employment Type</strong>: Full-time</div> <div>&nbsp;</div> <div><strong>Make an Impact on Federal Health</strong>:</div> <ul> <li>Join Rackner to build and operate the secure, cloud-native platform that powers data, analytics, and AI/ML for a federal health mission.</li> <li>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.</li> <li>Shape where it goes next: production-grade MLOps, self-service onboarding, and a paved road from commit to GovCloud.</li> </ul> <div><strong>Who You Are</strong>:</div> <ul> <li>7+ years in Platform Engineering, DevSecOps, Site Reliability, or Cloud Engineering, with senior-level ownership of a production platform</li> <li>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</li> <li>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)</li> <li>Deep expertise with Kubernetes (EKS), GitOps (ArgoCD or Flux), and Terraform infrastructure-as-code</li> <li>Designs for self-service: golden paths, multi-tenancy, and onboarding that lets teams ship safely without a platform engineer in the loop</li> <li>Strong CI/CD background (GitLab CI, Jenkins, ArgoCD, and progressive delivery)</li> <li>Fluent automation and scripting (Python, Bash, Go)</li> <li>Working knowledge of federal compliance (NIST 800-53, FISMA, ATO processes); comfortable in GovCloud/regulated environments</li> <li>Treats documentation and knowledge transfer as part of "done" — clear docs and runbooks come naturally</li> <li>A people person and problem-solver who's comfortable being client-facing, wearing many hats, mentoring teammates, and growing into technical leadership</li> </ul> <div><strong>What You'll Do</strong>:</div> <ul> <li>Own the IaC + GitOps foundation — evolve Terraform and ArgoCD (ApplicationSets) so the platform is declarative, self-healing, and recoverable from scratch</li> <li>Build and operate a multi-tenant, self-service platform — golden-path app onboarding, tenant/environment management, an app &amp; tooling catalog, and internal developer tooling/CLI</li> <li>Run Kubernetes on AWS GovCloud — Karpenter and KEDA autoscaling, ingress and Gateway API, cert-manager, and ALB integration across dev/pre-prod/production</li> <li>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</li> <li>Enable the data lakehouse — Trino/Iceberg on Glue + S3, Dagster orchestration, dbt, and search — so teams have reliable, performant data access</li> <li>Deliver observability and SLOs — Prometheus, Grafana (including custom-built dashboards), and actionable alerting</li> <li>Automate security and compliance — secrets management, network policy, IRSA least-privilege, policy-as-code, vulnerability remediation, and ATO artifact generation</li> <li>Drive documentation and knowledge transfer — author and maintain platform docs, production-readiness standards, and runbooks</li> <li>Partner directly with government stakeholders and platform tenants — translate mission needs into platform capabilities, with room to grow into a technical leadership role</li> </ul> <div><strong>Preferred / Bonus</strong>:</div> <ul> <li>Hands-on MLOps/AIOps production experience for DS/DE teams — SageMaker, Bedrock, Kubeflow, MLflow, Ray, KServe/Triton/Seldon, or GPU workload scheduling</li> <li>Experience with federal health or other regulated federal data programs</li> <li>Data platform / lakehouse experience — Trino/Presto, Iceberg, Spark, Dagster/Airflow, dbt</li> <li>AWS GovCloud, IL4/IL5, FedRAMP, or air-gapped environment experience</li> <li>Policy-as-code (OPA/Gatekeeper, Kyverno), container security, SBOMs, and vulnerability scanning</li> <li>Kubecost/cloud cost management</li> <li>Experience establishing a documentation practice and production-readiness standards</li> </ul> <div><strong>Who We Are</strong>:</div> <ul> <li>Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector</li> <li>We enable digital transformation through DevSecOps, platform engineering, AI/ML, and cloud-first innovation</li> <li>Join a team that thrives on solving high-impact problems and delivering secure, scalable systems for federal missions</li> </ul> <div><strong>Why You'll Love Working Here</strong>:</div> <ul> <li>Weekly Pay &amp; Fully Remote</li> <li>Professional Growth – Paid certifications and training for relevant technologies</li> <li>Comprehensive Benefits – 401k (100% match up to 6%), PTO, medical/dental/vision, life &amp; disability insurance</li> <li>Work-Life Perks – Gym/fitness membership, home office setup, swag, snacks, and social events</li> </ul> <div>&nbsp;</div> <div>&nbsp;</div> <div><strong>Hashtags for Visibility</strong></div> <div>#PlatformEngineering #MLOps #Kubernetes #GitOps #Terraform #AWSGovCloud #DevSecOps #FederalHealth #DataPlatform #ClearanceJobs #RacknerCareers #Remote</div> </div> <p>&nbsp;</p>