The Role
Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.
Summary Generated by Built In
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 Required
- 7+ years of experience in platform engineering, DevSecOps, site reliability, or cloud engineering
- Built and productionized an internal developer platform or PaaS for federal clients, including ATO
- Extensive hands-on experience with Kubernetes, Terraform, ArgoCD or Flux, AWS services, and cloud-native data technologies
- Deep expertise with Kubernetes on EKS, GitOps, and Terraform infrastructure as code
- Experience designing self-service platforms, golden paths, multi-tenancy, and onboarding workflows
- Strong CI/CD experience with GitLab CI, Jenkins, ArgoCD, and progressive delivery
- Fluency in Python, Bash, and Go automation or scripting
- Working knowledge of NIST 800-53, FISMA, ATO processes, and regulated or GovCloud environments
- Strong documentation, runbook, knowledge-transfer, client-facing, mentoring, and problem-solving skills
- Hands-on production MLOps or AIOps experience, including SageMaker, Bedrock, Kubeflow, MLflow, Ray, model serving, or GPU scheduling
- Experience with federal health or other regulated federal data programs
- Data platform or lakehouse experience with Trino, Iceberg, Spark, Dagster, Airflow, or dbt
- Experience with AWS GovCloud, IL4/IL5, FedRAMP, or air-gapped environments
- Experience with policy as code, container security, SBOMs, vulnerability scanning, or Kubecost
- Experience establishing documentation practices and production-readiness standards
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The Company
What We Do
Rackner builds cutting-edge solutions that apply DevSecOps and the power of AI in the datacenter, public and private clouds, and edge, leveraging the future of compute capability and technologies like Kubernetes (k8s) and WebAssembly (WASM). We're a member of the Cloud Native Computing Foundation and a Kubernetes Certified Service Provider - as well as a partner to the major public cloud companies. Our customers include hypergrowth startups and federal agencies, both Civilian and Defense. Core Competencies - DevSecOps - Edge Computing - AI/ML - Cloud-Native and Hybrid-Cloud development - Web and Mobile Applications Development (Microservices)
