SRE/Platform Engineer

Site Reliability Engineer (SRE) / Platform Engineer Location: Remote (prefer Northern Virginia) Duration: 6 months contract to hire Base pay range: $70.00/hr - $85.00/hr Overview The Company is seeking a Site Reliability Engineer (SRE) / Platform Engineer to support the client in enhancing and operating its hybrid analytical platform. The engineer will work across both on-premises and cloud-based environments, leveraging a broad set of platform engineering skills to ensure reliability, scalability, and consistency of workloads across locations. Key Responsibilities Operate and maintain hybrid platform environments, supporting both on-premises and Azure cloud-based analytical platforms. Manage and optimize Kubernetes clusters, ensuring high availability, performance, and security. Design, build, and maintain data and code pipelines, enabling efficient automation and workload orchestration across the platform. Collaborate with data engineering, DevSecOps, and cloud architecture teams to integrate and standardize platform operations. Contribute to infrastructure-as-code and automation initiatives to improve deployment repeatability and environment consistency. Implement observability practices — including monitoring, logging, and alerting — to support platform reliability and performance management. Participate in incident response and continuous improvement efforts to drive platform stability and resilience. Required Qualifications 7+ years of experience as an SRE, Platform Engineer, or DevOps Engineer supporting hybrid or cloud-native platforms. Strong experience operating and maintaining Kubernetes environments (deployment, scaling, monitoring, troubleshooting). Extensive experience with OpenShift to build, modernize, and deploy applications at scale across various cloud environments and on-premises. Hands‑on experience creating and managing CI/CD pipelines and data pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps, or similar tools). Familiarity with Azure services and cloud-native operations (VMs, containers, networking, security, and monitoring). Solid understanding of Linux system administration, automation, and containerization. Experience with infrastructure-as-code tools (Terraform, Helm, or ARM/Bicep templates). Excellent collaboration skills with cross‑functional teams in complex enterprise environments. Preferred Skills Experience supporting data analytics or financial systems. Knowledge of observability and SRE best practices (SLIs, SLOs, SLAs). Familiarity with Databricks, Azure Data Factory, or related analytical workloads. Background working within regulated or financial industry environments. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology #J-18808-Ljbffr