• Audit existing analytics applications to understand their underlying technology choices, data flows, and integration points • Design and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewrites • Evaluate build vs. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment • Develop a deep understanding of existing data pipelines owned by distributed teams — including their data sources, transformation logic, and dependencies • Design and build a unified presentation layer that surfaces data from heterogeneous compute environments — including large-scale distributed systems (e.g., Spark) and traditional relational databases — in a consistent, accessible way • Deploy and manage platform services on cloud infrastructure (AWS preferred; Azure/GCP experience a plus)

• Build, maintain, and modernize the data infrastructure that Medium's product and engineering teams depend on • Own reliability of data infrastructure: Identify risks, instrument better observability, drive improvements that reduce toil • Bring a product mindset to platform ownership, partnering with engineers and stakeholders across teams • Contribute to the long-term platform roadmap, migrate end-of-life systems toward modern alternatives • Write and review Python-based tooling for pipeline orchestration, data quality, and infrastructure automation • Apply DevOps and SRE best practices • Mentor teammates and improve shared standards around reliability, documentation, and platform ergonomics • Attend Medium's twice-yearly, in-person offsites

Role Description Five Rivers Analytics is looking for a Cloud Platform Engineer to work in North Charleston, SC. The Cloud Platform Engineer designs, implements, and sustains secure, scalable, and automated Kubernetes platform capabilities within DoD cloud environments. This role enables application teams to adopt cloud-native patterns while ensuring cybersecurity compliance and operational reliability. - Design, deploy, and maintain Kubernetes platforms (EKS) for multi-tenant enterprise workloads. - Lead application migration to containerized architectures. - Build reusable platform components such as operators, Helm charts, and IaC modules. - Automate cluster lifecycle tasks (provisioning, upgrades, scaling, patching). - Develop IaC with Terraform, CloudFormation, or CDK. - Implement monitoring and observability solutions. - Troubleshoot cluster, node, networking, and application issues. - Ensure compliance with DoD cybersecurity standards. - Implement RBAC, IAM roles for service accounts, and least-privilege policies. - Build and maintain CI/CD pipelines and GitOps workflows. - Support application modernization and migration strategies. - Provide Tier 3 engineering support and documentation. Qualifications - Interim Secret Clearance with ability to obtain Top Secret clearance. - Bachelor’s degree in CS, IT, Engineering, Math, or related field, or equivalent experience. - 8+ years experience (Bachelor’s) or 6+ years (Master’s). - Hands-on AWS experience (EKS, EC2, VPC, IAM, ECR). - Experience with Kubernetes architecture and operations. - Experience with Docker and container security. - Experience with IaC tools. - Understanding of DoD cybersecurity frameworks. - Experience with Linux system administration, with preference given to Red Hat Enterprise Linux (RHEL) in enterprise or DoD environments. - Experience in Agile/SAFe environments. Requirements - Advanced experience operating Kubernetes/EKS clusters in production at scale. - Proficiency with Terraform or CloudFormation for modular IaC provisioning. - Hands-on experience with Ansible or similar tools for configuration automation. - Experience implementing GitOps workflows with ArgoCD or Flux. - Strong background designing cloud-native platform components (Helm charts, operators, reusable modules). - Experience with container security tools (Anchore, Twistlock, Aqua). - Familiarity with service mesh technologies (Istio, Linkerd). - Experience implementing RBAC, IAM Roles for Service Accounts (IRSA), and least-privilege models. - Proven ability to build automated cluster lifecycle workflows (upgrades, scaling, patching). - Experience with multi-cluster or multi-region Kubernetes operations. - Strong understanding of DoD cloud security frameworks (STIGs, NIST 800‑53, RMF). - Experience integrating observability stacks (Prometheus, Grafana, OpenTelemetry). - Ability to troubleshoot complex networking issues within distributed container platforms. Benefits - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. - Paid Time Off (PTO) is offered to regular full-time and part-time employees. Company Description Five Rivers Analytics (FRA), an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska. - At FRA, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States. - For our shareholders, FRA provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years. - For our government customers, FRA delivers streamline operations in support of an increasingly fast-paced, complex, and dynamic digital environment. - As a FRA employee, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. - You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

• Manage end-to-end **Data pipeline **(ETL jobs) within agreed SLAs. • Manage AWS core and **big data services** (S3, IAM, EMR, Redshift, etc..). • Running applications in containers (ECS, Docker). • Lead Day 2 operational lifecycle for ML and GenAI infrastructure. This includes designing, deploying, and maintaining high-availability production LLM serving platforms, implementing automated scaling, self-healing, and infrastructure-as-code patterns. Focus on proactive reliability, model performance observability, and continuous cost optimization for high-compute AI workloads. • Collaborate closely with our product development and engineering teams to create AI-driven features. • Drive cloud operations consistency by automating platform maintenance, standardizing infrastructure configurations (IaC), and implementing robust release management processes to minimize drift across multi-cloud environments. • Manage AWS infrastructure using code (Terraform, Chef, etc..). • Administering applications running in Linux operating system. • Enable application and system monitoring for better observability. • Application and infrastructure support for ETL jobs and data pipelines including participating in an on-call rotation for after-hours emergencies. • Collaborate with platform and Dev teams to plan and deploy product releases and patch Linux/ECS clusters. • Ability to participate in design reviews, code reviews, and troubleshooting incidents. • Ability to operate in a high-pressure environment and troubleshoot complex issues quickly while successfully handling multiple priorities. • Ability to record, write, and review RCAs.