Senior Systems Engineer (Hybrid or Remote)

This posting will be open until October 31, 2026. Applications received after this date may not be considered.   The Senior Systems Engineer designs, builds, and integrates server and platform infrastructure to ensure the stability, integrity, and efficient operation of systems supporting core organizational functions. Senior Engineers lead medium-to-large initiatives that span multiple teams within the organization, raise delivery quality through automation and standards, and partner with developers and stakeholders to deliver end-to-end solutions. They apply AI tools to accelerate build, run, and documentation workflows while validating outputs for safety and compliance. This role will help shape the next generation of Rocket’s Data Platform infrastructure. Our team supports critical data, analytics, and integration platforms across AWS, on-premises systems, and enterprise data services. We are looking for an engineer who is excited to help us evolve from traditional infrastructure support toward a platform engineering model focused on automation, observability, secure self-service, reusable patterns, AI-assisted operations, and cloud-based data infrastructure best practices. The ideal candidate will be comfortable supporting today’s systems while helping build the tools, standards, documentation, and guardrails that make tomorrow’s infrastructure faster, safer, easier to operate, and easier for partner teams to consume. About the Role Architecture & Delivery Lead design and implementation of platform solutions that meet organizational outcomes and non-functional requirements Contribute to reference architectures and review designs for reliability, performance, and cost within the organization Drive deep-dive investigations and root-cause analyses for complex issues; implement preventative patterns and guardrails Collaborate with developers and clients to deliver solutions on Windows and Linux platforms, including .NET-based workloads Manage and improve the engineering toolchain for the org (source control, CI/CD, packaging, artifact management) Hybrid & Multi-Cloud Design and operate solutions across AWS, a second cloud (Azure or GCP), and on-prem environments for organizational workloads Engineer resilient hybrid connectivity and data services (e.g., transit gateways, private link, SD-WAN, SAN/NAS/NVMe-oF where applicable) Recommend workload placement based on performance, cost, compliance, and latency; document decision records for the org Implement consistent identity, secrets, and policy patterns across clouds and data centers Automation & AI Enablement Implement Infrastructure as Code and configuration management to deliver repeatable, auditable environments Use AI copilots and agents to speed scripting, documentation, testing, incident triage, and change planning while validating outputs Build or integrate AI-powered internal tools (chatops, knowledge retrieval, automated runbooks) with appropriate logging and guardrails …