• Get AI Platform customers production-ready on Hydra — standing up Kubernetes clusters, configuring GPU drivers, validating networking, and troubleshooting the issues that surface when real workloads hit real hardware. • Own the bare metal ←→ platform layer — bridging GPU infrastructure (NCCL, InfiniBand, NVLink, storage) with orchestration layers (Kubernetes, SLURM) and MLOps tooling that customers actually use. • Configure, benchmark, and debug NVIDIA driver stacks — firmware versions, CUDA compatibility, NCCL tuning, MIG configurations. • Run quality benchmarks and diagnostics to validate performance for inference and training workloads across chip types. • Identify gaps before customers do — pressure-testing Hydra's infrastructure, APIs, and workflows to find what's missing or broken. • Turn customer learnings into product — working with Product and Engineering to build reusable templates, default configurations, and automated workflows that eliminate manual onboarding. • Advise customers on chip selection and tokenomics — helping AI platform customers understand price/performance trade-offs across GPU types, cost-per-token economics, and which hardware fits their inference or training workloads.

• Build privacy engineering solutions spanning over the entire Netflix infrastructure • Partner closely with other software engineers, data scientists and TPMs to design, prototype, develop, run and improve data detection, classification and metadata systems at scale • Innovate, solve challenging problems and impact the business in a meaningful way • Work across diverse environments including distributed systems, data streaming and data warehouse

• Design and develop GTT’s Managed Services infrastructure platforms • Continuous improvement of existing infrastructure platforms • Act as last escalation point for operational support of infrastructure platforms

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Senior Engineer who can deliver high quality project work today while helping us move toward a more automated, consistent, and scalable operating model over time. This is a hands-on role. You will execute deployments, perform configurations, troubleshoot issues, and work through complex escalations. At the same time, we expect you to identify patterns, reduce manual effort where possible, and contribute to building the foundation for a more repeatable project and managed services framework. We are not fully modernized yet and this role is part of that transformation. This is a senior and highly compensated position for someone who can operate with good judgment, move quickly when needed, and still create improvements as the environment matures. What You Will Do - Project Delivery and Hands On Engineering - Deliver networking, virtualization, public cloud, and Microsoft 365 projects from planning through completion. - Perform hands-on configuration, migrations, cloud resource setup, and implementation tasks for customer environments. - Make sound decisions under real world constraints while balancing ideal patterns with project timelines. - Tier 3 Escalation and Deep Troubleshooting - Serve as a senior escalation resource for complex issues that require advanced analysis. - Identify root causes and ensure that lessons learned are integrated into standards, procedures, or tooling. - Infrastructure Standards and Emerging Automation - Help define and document patterns and procedures where they do not yet exist. - Convert successful project patterns into reusable templates, scripts, or infrastructure as code modules when possible. - Support the gradual shift from manual work toward predictable and automated builds and operations. - Documentation and Knowledge Transfer - Create clear and concise documentation that supports delivery teams and operational handoff. - Communicate what was done and why in order to improve transparency and consistency. - Continuous Improvement - Identify operational friction, repeated work, and inefficient processes and propose practical improvements. - Work with leadership to prioritize what to automate now and what to automate later. - Travel - Occasional scheduled travel for onsite project work. Qualifications - Strong knowledge of routing, switching, VPN, segmentation, and diagnostic workflows. - Experience with virtualization platforms such as VMware or Hyper V. - Microsoft 365 administration skills including identity and security controls. - Familiarity with enterprise backup and replication technologies. - Practical experience with basic public cloud services such as virtual machines, networking, storage, identity, and security controls in Azure or AWS. - Exposure to automation tools or infrastructure as code concepts with a desire to expand them over time. Mindset - Comfortable switching between hands-on implementation, deep troubleshooting, and incremental improvement work. - Understands how to balance getting the job done today with making the job easier in the future. - Strong analytical skills and the ability to break complex issues into clear steps. - Operates independently with sound judgment and communicates clearly. Nice to Have - Experience in the credit union or financial services industry. Work Environment Location: Remote or Hybrid in Tomball, Texas. You will be joining a team that is modernizing how we deliver projects and managed services. This role is ideal for someone who thrives in real world engineering constraints while contributing to a shift toward cleaner, more scalable, and more automated operations.