Role at NVIDIA DriveOS to design and implement highly available automation systems, developer tooling, and AI-native pipelines (LLM agents, RAG, multi-agent orchestration) that improve build/release quality and compliance with automotive safety standards. Requires 8+ years in infrastructure/DevOps/tooling, strong Python proficiency, CI/CD and IaC experience, and hands-on work with LLM/agent deployments and data/telemetry pipelines.

NVIDIA DGX Cloud seeks a Senior Data and Platform Engineer to design, implement, and operate shared data platform domains and pipelines (batch and streaming) supporting telemetry, capacity, utilization, cost, and operational data. Role requires 12+ years of relevant experience, strong software and data-engineering skills (SQL, ETL, CDC, distributed processing), and experience with production reliability, observability, and cross-team architectural leadership. Base salary range: 200,000–322,000 USD per year.

Lead GitLab's Dedicated Infrastructure team combining hands-on technical leadership and people management. Responsibilities include partnering with product to set priorities, maintaining high availability (SLOs), improving automation and self-service platforms, managing incidents, using data to prioritize work, and recruiting and developing a distributed remote team. Requires experience with large-scale distributed services, fleet management, Terraform, AWS, automated provisioning, and SLO-driven operations.

Maintain and update Udacity School of Cloud course content, exercises, project starter code, Workspaces (Docker in Kubernetes) and Cloud Labs (AWS/Azure/GCP). Responsibilities include analyzing course metrics, fixing bugs, upgrading code and dependencies (Python/Node.js), testing labs, and troubleshooting federated cloud account access and permissions. Requires strong knowledge of at least two cloud providers, containerization, IaC tools, CI/CD familiarity, Git, and a minimum of 2 years software development experience.

Join the Streams Backend team to design and implement features for Logstash and backend services, contribute to the OpenTelemetry Collector, solve distributed systems problems at scale, maintain and improve existing code, participate in PR reviews and an on-call rotation. Role is remote-first and the base salary range is €61,100–€96,600 per year.

Work on Elastic's Streams backend and Logstash: design and implement features in Java and JRuby, build and operate core backend services in Golang, contribute to the OpenTelemetry Collector, maintain and improve existing code, solve distributed-systems problems at scale, participate in on-call rotation, and collaborate with a distributed team. Salary range: 307,800–486,900 PLN (base).

Join the Streams Backend team to design, build and operate core backend services and Logstash features. Work includes developing in Java, Golang and JRuby, contributing to the OpenTelemetry Collector, solving distributed systems problems at scale, maintaining code and tests, participating in on-call rotations, and engaging with public GitHub repositories and community forums.

NVIDIA seeks an AI Compute Engineer to deploy, manage, validate, and hand over large-scale AI Compute/HPC systems in Linux environments. The role involves customer engagement from planning through implementation, troubleshooting hardware and software, automation and provisioning of bare-metal clusters, benchmarking, and providing feedback to internal teams. Requires a four-year degree or equivalent, 4+ years of relevant support/deployment experience, scripting skills (Bash, Python, Ansible), familiarity with schedulers (SLURM/LSF/UGE), and willingness to travel up to 20% within the United States.

Work on reliability, scalability, and safety of DGX Cloud services including control plane, model endpoints, and GPU/CPU compute infrastructure across AWS, Azure, GCP and on-prem. Requires 8+ years experience with production distributed systems, strong programming (Python/Go), infrastructure as code/GitOps, Kubernetes, observability, SRE practices (SLIs/SLOs/error budgets), and hands-on automation.

Work on the Web Dependability Engineering team to ensure websites work across DuckDuckGo browsers (Mac, Windows, iOS, Android). Responsibilities include owning webcompat triage, debugging site/browser/privacy-induced breakage, leading incidents for top site breakages, shipping fixes across platforms, and building tooling/LLM pipelines to automate reproduction and triage. Requires 7+ years building and debugging complex web apps with vanilla JavaScript and strong knowledge of web standards, web components, and browser APIs; additional experience with Swift/Kotlin/C#/C++/Python is a bonus.

Work end-to-end on the API Platform: design and implement the inference API, datastores, billing/usage metering, role-based controls, analytics, observability, and CI/CD. The role emphasizes performance tuning, debugging, distributed systems, and production reliability; production experience in Go or Typescript and familiarity with Kubernetes and cloud platforms are strongly preferred.

Work end-to-end on features for an agent platform that enforces least-privilege, human approvals, and full auditability. Required skills include production experience with Go or TypeScript, strong debugging and performance-tuning abilities, and familiarity with cloud platforms, Kubernetes, and observability tooling. Role is remote-first and offered to candidates in specified European countries and Ukraine; the company does not provide visa sponsorship.

Lead a greenfield initiative to build fault-tolerant, horizontally scalable, multi-tenant production services that synthesize technical datasets and power AI-driven operational automation. Requires 6+ years experience, proficiency in Go, and experience with large-scale distributed systems. Kubernetes, workflow orchestration, and AI-agent experience are bonuses. Hybrid role based in Paris, France.

Build and operate production Go services and distributed systems that automate Kubernetes infrastructure across AWS, GCP, and Azure. Work includes node placement, autoscaling, storage automation, workload migration, GPU optimization, observability, and CI/CD. Role requires strong software engineering, Kubernetes internals, production observability, and experience driving complex projects end-to-end. Salary range stated in posting: €6,500–€9,000 gross.

Role involves deploying, managing, and validating large-scale AI Compute/HPC systems in Linux environments, working directly with customers and internal teams, and providing handover documentation and support. Requires 8+ years of deployment/support experience, strong Linux and scripting skills (Bash, Python, Ansible), familiarity with schedulers (SLURM/LSF/UGE), benchmarking tools (HPL, NCCL, MLPerf), Kubernetes, and up to 20% US travel.

Role owns and evolves infrastructure for Docker's Billing Platform (compute, storage, networking, CI/CD, observability). Requires deep AWS and Terraform expertise, experience with observability stacks (Datadog/Grafana), Kubernetes, CI/CD systems, incident response and on-call participation, and at least 8 years in platform/SRE roles. Compensation range for US: $170,350–$275,550/year.

Senior DevOps Engineer (contract) for Mexico/Canada with end-to-end ownership of DevOps lifecycle: design, build and maintain CI/CD pipelines, provision cloud infrastructure via IaC (Terraform), manage Docker/Kubernetes environments, implement monitoring/observability, and apply DevSecOps practices. 6+ years experience required. Employer is willing to sponsor eligible candidates for employment visas.

Senior DevOps Engineer (6+ years) responsible for end-to-end DevOps: designing and maintaining CI/CD pipelines, provisioning cloud infrastructure with IaC (Terraform), managing containerized workloads (Docker, Kubernetes), and implementing monitoring/observability and security best practices. Role is a contract covering Canada and Mexico; Bounteous may sponsor eligible employment visas.

Spreedly seeks a senior individual contributor to be the database subject-matter expert on the Reliability team. Responsibilities include diagnosing and improving database performance and availability, advising on schema and migrations, establishing operational practices (backups, upgrades, sizing), improving observability, and partnering with application and infrastructure engineers. Requires 5+ years operating and optimizing production databases and hands-on experience with distributed databases and SQL.

Role owns fabric operations and lifecycle (InfiniBand, RoCE/Ethernet, NVLink/NVSwitch) across NCP fleets, including validation, switch software/firmware management, telemetry-driven reliability, and hands-on troubleshooting. Requires deep data‑center networking experience, automation (Python, Ansible, Terraform, GitOps), observability stacks, and customer-facing consultancy skills.