Join Docker's Infrastructure Engineering team to develop and operate platform services and APIs (primarily in Go), codify infrastructure with Terraform and GitOps, and scale Kubernetes/EKS and networking foundations. The role includes building AI-assisted operational automation, owning operational readiness and SLOs, and participating in an on-call rotation to support incident response.

Join GitLab Delivery — Upgrades to guide technical direction for self-managed deployment and upgrade workflows. Design and maintain Kubernetes Operators and Helm charts, build upgrade orchestration and automation (including DB migrations, rolling deployments, and rollback paths), improve observability and reliability, and mentor engineers while collaborating with SRE, Release, Security, and product teams. Role is remote and hiring includes India.

Lead a globally distributed, asynchronous engineering team responsible for deployment tooling and operational patterns across self-managed GitLab, GitLab Dedicated, and GitLab.com. Partner with Product and Infrastructure teams to improve reliability, upgrade experience, observability, zero-downtime capabilities, and upgrade orchestration using technologies such as Kubernetes Operators and Helm. Participate in incident management and hire, onboard, and develop team members.

Work on the Node Platform building Kubernetes operators, scaling automation, and control-plane components for the Chainlink Runtime Environment (CRE). Role requires 6+ years in SRE/platform/infrastructure engineering, production Kubernetes scaling experience, Terraform/Crossplane, GitOps (ArgoCD/Flux), CI/CD reliability, AWS, and strong Go or equivalent systems language skills.

Join a team building cloud-native software that integrates NVIDIA GPUs with container orchestrators (Kubernetes). Requires 12+ years' relevant experience, BS/MS or equivalent, expert-level knowledge of systems programming (Go, C), strong understanding of Linux internals, container orchestration, distributed systems, cloud computing, and concerns around performance, security, and reliability.

Senior engineering role owning design, implementation, and operation of core GitHub Actions infrastructure that processes large-scale CI/CD workloads. Responsibilities include building scalable services, leading technical initiatives, participating in on-call rotations, improving reliability and security, mentoring engineers, and collaborating across teams.

Work on the Fleet Management team within Platform Engineering to build and maintain a scalable, secure Kubernetes runtime and associated components (CoreDNS, cert-manager, Gatekeeper, service mesh). Provide internal support to engineering teams, participate in a 24/7 on-call rotation, lead blameless post-mortems and systemic fixes, and help migrate from Terraform-based IaC to an operator-driven lifecycle. Locations include multiple US offices and Dublin; U.S. base salary range provided.

LivePerson is hiring a Junior DevOps Engineer to develop and maintain automation using Python, Terraform, Ansible, and Bash; work with Docker and Kubernetes; and utilize cloud services (preference for GCP). The role requires ~2 years Python experience and is located in/near Dallas, TX (hybrid). Salary range $90,000–$110,000 USD/year.

Lead design and implementation of an end-to-end ML platform (model lifecycle, experiment tracking, model registries, serving) and develop graph ML codebases and pipelines at scale. Requires 8+ years in ML infrastructure with hands-on experience in distributed training, GPU optimization, cloud tools (GCP BigQuery, Google Cloud Storage), infrastructure-as-code (Terraform), MLOps tools (MLflow/Wandb), and frameworks such as Python, PyTorch, Ray, and Kubernetes. Base salary range listed: $230,000—$322,000 USD per year.

Role responsible for building scalable, multi-tenant services for AI inference; improving observability, capacity management, automation, and operational tooling; partnering with platform and GPU infrastructure teams; and providing technical leadership and mentorship. Requires experience with Go, Kubernetes, high-scale distributed systems, and SRE practices.

Responsible for building scalable multi-tenant inference services and APIs, improving observability and capacity management, partnering with platform and GPU teams, providing technical leadership, and mentoring junior engineers. Requires 8+ years experience with large-scale distributed systems, SRE practices, 2+ years Go and Kubernetes experience, and familiarity with LLM serving tools (vLLM, Triton, TensorRT-LLM).

Mattermost Federal seeks Forward Deployed Engineers to work onsite with defense and intelligence customers to deploy, integrate, and extend the Mattermost platform in mission-critical and classified environments. Responsibilities include building plugins, integrations, automations, debugging constrained systems, and iterating on prototypes with operators. U.S. citizenship and eligibility for/possession of U.S. government security clearance (active TS/SCI preferred) are required; travel is typically ~1 week per month.

Hands-on technical leader responsible for designing, developing, and operating distributed inference hosting systems (multi-tenant, high-scale) integrating specialized AI hardware and inference frameworks; requires expertise in distributed systems, GPU-level optimizations, inference frameworks (e.g., vLLM, llm-d, Ray Serve), and software engineering in GoLang or Python.

Hands-on technical leader responsible for end-to-end design, development, and operation of distributed inference hosting and data plane components for large language and multimodal models. Role emphasizes performance optimization (tensor/data parallelism, KV cache, routing), GPU/interconnect awareness (NVLink, XGMI, RoCE), familiarity with inference frameworks (vLLM, llm-d, NVIDIA Dynamo, Ray Serve), strong software engineering in Go or Python, microservices and cloud operations, and defining/maintaining SLOs and observability. Compensation range listed as $167,200–$209,000 (USD, annual).

Design, implement, and operate scalable routing and logistics API services and related tooling for Mapbox's Directions and Logistics platforms. Requires 5+ years building web services in Rust or TypeScript/Node.js, experience with container-based deployments (Docker, ECS, Kubernetes) on AWS, monitoring/observability, incident response and distributed systems, and strong English (B2+). Remote from any city in Germany.

NVIDIA is hiring a Senior AI/HPC Engineer on the infrastructure Specialist team to deploy, manage and maintain AI/HPC GPU infrastructure in Linux environments. The role involves customer-facing architecture and implementation, cluster and network optimization (InfiniBand/Ethernet), scheduler and MPI/NCCL expertise, automation (Ansible/Salt/Puppet), Kubernetes, and documentation/knowledge transfer. Requires a related degree or equivalent and 5+ years of deployment/support experience.

Lead Coinbase's multi-year Solana staking technical strategy and own validator operations, staking integrations, protocol evaluation, and production infrastructure. Requires 10+ years of software engineering experience, production-level Rust and/or Go proficiency, deep familiarity with Solana runtime/validator mechanics/consensus, experience operating large-scale distributed infrastructure, and established presence in the Solana ecosystem.

CrowdStrike seeks an experienced Database Reliability Engineer to operate, automate and design Kubernetes-native solutions for large-scale data services (Cassandra, Elasticsearch/OpenSearch, Kafka, Zookeeper, MySQL, PostgreSQL, Redis, Valkey). Role requires hands-on Kubernetes (StatefulSets, persistent storage), configuration management (Chef), scripting (Python, bash), cloud experience (AWS, GCP, OCI) and working with critical Linux environments.

Join the End-to-End Verification team to design tests, build realistic testbeds, and perform end-to-end troubleshooting across hardware, system software and AI workloads for large-scale AI clusters. Requires 8+ years of networking or system-level testing on Linux, strong debugging skills (perf, tcpdump, ethtool, iproute2), NIC/DPU experience, familiarity with NCCL, RoCE/RDMA, and scripting (Bash/Python/Ansible).

Join GitHub's Elasticsearch team to develop and manage large-scale Elasticsearch clusters, optimize index creation/reindexing, and improve search relevance and tooling. The role emphasizes scalability, observability, incident response, capacity planning, and collaboration with internal teams and the open-source community. Requires demonstrated infrastructure experience (6+ years) and substantial experience building and maintaining Elasticsearch at scale; familiarity with Go/Ruby/Rust and IaC tools such as Terraform, Puppet, or Ansible is expected.