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you'll own the internal developer platform that data scientists, data engineers, and application teams build on every day.\nShape where it goes next: production-grade MLOps, self-service onboarding, and a paved road from commit to GovCloud.\nWho You Are:\n7+ years in Platform Engineering, DevSecOps, Site Reliability, or Cloud Engineering, with senior-level ownership of a production platform\nBuilt 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\nExtensive 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)\nDeep expertise with Kubernetes (EKS), GitOps (ArgoCD or Flux), and Terraform infrastructure-as-code\nDesigns for self-service: golden paths, multi-tenancy, and onboarding that lets teams ship safely without a platform engineer in the loop\nStrong CI/CD background (GitLab CI, Jenkins, ArgoCD, and progressive delivery)\nFluent automation and scripting (Python, Bash, Go)\nWorking knowledge of federal compliance (NIST 800-53, FISMA, ATO processes); comfortable in GovCloud/regulated environments\nTreats documentation and knowledge transfer as part of \"done\" - clear docs and runbooks come naturally\nA people person and problem-solver who's comfortable being client-facing, wearing many hats, mentoring teammates, and growing into technical leadership\nWhat You'll Do:\nOwn the IaC + GitOps foundation - evolve Terraform and ArgoCD (ApplicationSets) so the platform is declarative, self-healing, and recoverable from scratch\nBuild and operate a multi-tenant, self-service platform - golden-path app onboarding, tenant/environment management, an app & tooling catalog, and internal developer tooling/CLI\nRun Kubernetes on AWS GovCloud - Karpenter and KEDA autoscaling, ingress and Gateway API, cert-manager, and ALB integration across dev/pre-prod/production\nArchitect 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\nEnable the data lakehouse - Trino/Iceberg on Glue + S3, Dagster orchestration, dbt, and search - so teams have reliable, performant data access\nDeliver observability and SLOs - Prometheus, Grafana (including custom-built dashboards), and actionable alerting\nAutomate security and compliance - secrets management, network policy, IRSA least-privilege, policy-as-code, vulnerability remediation, and ATO artifact generation\nDrive documentation and knowledge transfer - author and maintain platform docs, production-readiness standards, and runbooks\nPartner directly with government stakeholders and platform tenants - translate mission needs into platform capabilities, with room to grow into a technical leadership role\nPreferred / Bonus:\nHands-on MLOps/AIOps production experience for DS/DE teams - SageMaker, Bedrock, Kubeflow, MLflow, Ray, KServe/Triton/Seldon, or GPU workload scheduling\nExperience with federal health or other regulated federal data programs\nData platform / lakehouse experience - Trino/Presto, Iceberg, Spark, Dagster/Airflow, dbt\nAWS GovCloud, IL4/IL5, FedRAMP, or air-gapped environment experience\nPolicy-as-code (OPA/Gatekeeper, Kyverno), container security, SBOMs, and vulnerability scanning\nKubecost/cloud cost management\nExperience establishing a documentation practice and production-readiness standards\nWho We Are:\nRackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector\nWe enable digital transformation through DevSecOps, platform engineering, AI/ML, and cloud-first innovation\nJoin a team that thrives on solving high-impact problems and delivering secure, scalable systems for federal missions\nWhy You'll Love Working Here:\nWeekly Pay & Fully Remote\nProfessional Growth - 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