Senior Infrastructure Engineer

Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository. What you'll be doing: Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs. Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback. Eliminating configuration drift across cells, and building the tooling that keeps it eliminated. Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare. Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head. What we need to see: BS or MS in Computer Science or equivalent experience. 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable. Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback. Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it. Exper

Senior Infrastructure Architect — Enterprise Observability and Automation Description - Job Summary Senior individual contributor responsible for the architecture, implementation, and operational ownership of enterprise observability, monitoring, and automation platforms across HP's global IT environment. This role modernizes infrastructure visibility capabilities while ensuring operational stability, security, and compliance. Serves as a technical and operational bridge between infrastructure engineering, cybersecurity, SOX/compliance stakeholders, automation teams, and external technology partners — leading complex initiatives such as platform migrations, enterprise integrations, and governance enablement. Responsibilities Enterprise Observability and Monitoring Application owner and senior technical authority for enterprise monitoring and logging platforms (Datadog, Splunk), including platform governance, roadmap alignment, and operational oversight. Lead enterprise-scale monitoring platform migrations, including architecture design, agent strategy, data ingestion models, vendor coordination, and deployment across 5,000+ servers. Define standards for alerting, dashboards, observability data quality, and integration with ITSM platforms (ServiceNow). Design and manage multi-org Datadog architecture, including org structure, RBAC, SSO/SAML, secrets management, and cybersecurity compliance. Oversee SNMP-based monitoring of storage and network devices, including device profiling, syslog/event integration, and NetFlow collection. SOX Compliance and IT Governance SOX control owner for enterprise monitoring applications — approve monthly reviews, participate in internal/external audits (EY), and maintain ITGC/SOX compliance. Provide audit evidence, walkthrough docu

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides

Company: tastytrade Role: Senior Linux Infrastructure Engineer Location: Chicago, IL — Hybrid About the Role We are looking for a senior Linux engineer who is equal parts operator and builder. You will own the systems layer of our production environment — from the metal to the configuration management code. This is a hands-on role: you will jump into incidents, tackle challenging engineering problems, design systems that scale, and evaluate new software and architectures. This is not a role where the abstractions hide the machine. You are expected to be curious about what is underneath and to be the person other engineers come to when a system is behaving in a way nobody can explain. What You'll Do Own Linux performance. Diagnose and tune systems under real production load: CPU scheduling and NUMA placement, memory and page cache behavior, disk and filesystem I/O, and network stack tuning. Lead troubleshooting on hard problems. Work incidents methodically — form a hypothesis, find the cheapest test that falsifies it, and narrow the search rather than changing five things at once. Write postmortems, organize follow-up tasks, and future-proof the environment so the same issue does not recur. Write and maintain configuration management code. Build infrastructure declaratively with Salt, Ansible, Chef, or Puppet, treating that code with the same standards as application code: reviewed, tested, and version-controlled. Run containerized workloads. Build, deploy, and operate services on Kubernetes or Nomad, including scheduling behavior, resource limits, health checking, and the failure modes that only appear under contention. Automate in Bash and Python. Replace manual runbooks with tooling and streamline repeatable work. Operate core network services. Troubleshoot TCP/IP with confidence and bring solid networking fundamentals. Manage DNS and DHCP as production ser

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As an Infrastructure Engineer on the ML Platform team, you will design, scale, and maintain the foundational infrastructure powering our entire machine learning ecosystem. We are looking for accomplished engineers to spearhead the development of our next-generation ML tooling and platform capabilities. You will: Bootstrap and maintain Kubernetes and Cloud infrastructure for ML Platform components--Serving Layer, Metadata Store, Model Registry, and Pipeline Orchestrator. Set technical strategy and oversee development of high scale and reliable infrastructure systems. Propose and implement new platform tooling to improve time to production for MLEs and Data Scientists across the full ML lifecycle. Work on infrastructure projects such as GPU fleet management, hybrid-cloud orchestration, and writing custom Kubernetes controllers and resources. Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. Partner across organizations to build tooling, interfaces, and visualizati

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking a senior data infrastructure engineer to join our new Data Insights team. Our team owns the data tooling that empowers Roblox builders to independently make informed and timely data-driven decisions. As an engineer on the team, you’ll work on the platforms behind tools like Superset, Hex, and Python notebooks, which provide critical insights into the health of our business to users at every level of the company. We tackle diverse challenges in data engineering, infrastructure, and analytics, to deliver the insights our customers need. You will collaborate closely with engineers across our data ecosystem to shape the future of product analytics at Roblox. This role offers the chance to be a founding team member and help define both the technical direction and the long-term shape of the product area from the ground up. This role is a great fit for you if you are proficient in designing and scale robust data infrastructure and applications and have a zeal for developing inspiring, easily maintainable, and reusable code. Join our team and make a significant impact at Roblox. You Will: Architect and deliver a high-pe