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

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.

• 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, Dev Sec Ops , 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.

• 7+ years of experience as an SRE, Platform Engineer, or Dev Ops Engineer supporting hybrid or cloud-native platforms.
• Strong experience operating and maintaining Kubernetes environments (deployment, scaling, monitoring, troubleshooting).
• Extensive experience with Open Shift 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, Git Hub Actions, Azure Dev Ops, 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.

• 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.

Mid‑Senior level

Full‑time

Information Technology