NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

Lead development of Reddit’s media and core platform services, building scalable APIs and services for hundreds of millions of users. Responsibilities include designing and operating large-scale distributed systems, optimizing media delivery and processing, mentoring engineers, and working with technologies such as Python/Go, GraphQL/gRPC/Protobuf, Kubernetes, and cloud platforms (AWS/GCP).

Senior Engineer on the Core Systems & Libraries team responsible for designing, building, and running foundational media and non-media services and APIs at massive scale. Role emphasizes distributed systems, API design, media processing and delivery, performance and availability, mentoring junior engineers, and working with Kubernetes and cloud platforms (AWS/GCP). Requires 5+ years experience and proficiency with Python, Go, or similar.

Astronomer is hiring a Senior Software Engineer for the Platform Engineering team to design, build, test and deploy production infrastructure for their Astro DataOps platform. The role involves owning CI/CD and build/deploy pipelines, driving reliability and observability (SLIs/SLOs), participating in incident/on-call rotations, and collaborating across the company on production system design. Required skills include strong experience with Python, Go, Kubernetes (CKA or equivalent), observability tooling, and software development best practices. Estimated total compensation range provided: £107,000–£150,000 per year.

Administer and maintain enterprise storage across production, DR and non-production environments: provisioning, capacity planning, performance tuning, replication, backups, migrations, firmware/upgrades, SAN networking (zoning, multipathing) and disaster recovery. Support high-availability insurance applications, compliance/audit requirements, create documentation and runbooks, participate in incident and problem management, and mentor junior engineers.

Responsible for end-to-end Managed File Transfer (MFT) solutions: developing and managing file transfer flows with Flow Manager and Transfer CFT, building JSON automation for Secure Transport administration, managing SSL/TLS/encryption/certificates/authentication, performing upgrades/patches/migrations, troubleshooting transfer/connectivity/performance issues, and supporting BAU operations, monitoring and platform onboarding/integration with infrastructure and application teams.

Join Astronomer's Platform Engineering team to influence the design, implementation, and operation of a high-scale PaaS used to run Apache Airflow. The role requires strong proficiency in Python and Golang, deep Kubernetes experience, observability and reliability practices, CI/CD and testing, and participation in on-call rotations. Compensation is estimated at $210,000–$250,000 total.

Join MongoDB's Deployments team within Platform Engineering to design, maintain, and support continuous delivery infrastructure (primarily Argo Workflows and ArgoCD) for multi-cloud Kubernetes environments. The role requires 6+ years of software development and distributed systems experience, proficiency in Python or Go, strong CI/CD and containerization expertise, knowledge of AWS/GCP/Azure, Linux internals, and networking. Responsibilities include owning onboarding flows, contributing software solutions (including operators), supporting deployment systems, and participating in a 24/7 on-call rotation.

Work on MongoDB's Deployments team to design, build, and operate continuous delivery infrastructure (primarily Argo Workflows and ArgoCD) and related tooling to support multi-cloud Kubernetes deployments. Responsibilities include owning onboarding flows, providing internal support, contributing to automation and open-source/engineering solutions (e.g., Kubernetes operators), and participating in a 24/7 on-call rotation. Requires 6+ years experience in software development and operating distributed systems and proficiency in Python, Go, or similar.

NVIDIA seeks a Senior Storage Production Engineer to build and operate large-scale storage clusters supporting GPU cloud, HPC, and AI/ML workloads. Responsibilities include storage architecture design, monitoring and alerting, automation, capacity planning, performance optimization, data protection, and participating in on-call rotations. Requires 8+ years of relevant experience and expertise in distributed storage, storage networking protocols, Linux-based systems, programming for automation, and infrastructure-as-code and observability tools.

Principal Java Engineer to design, build, and operate core distributed systems components for Elasticsearch Serverless. Responsibilities include improving concurrent indexing, maintaining cluster coordination, scaling shards/nodes, investigating performance and stability issues, and supporting cross-team projects. Role requires deep distributed systems and consensus algorithm expertise, strong Java proficiency, and experience building large-scale distributed systems.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination and safety/liveness properties, pushing scalability limits (shards, nodes, petabytes), investigating performance and stability issues end-to-end, and supporting cross-team operational and engineering efforts. Requires deep distributed systems expertise, strong Java and algorithm skills, and experience building large-scale distributed systems.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination for performance and safety, investigating and resolving performance/stability issues, and collaborating across teams. Requires deep distributed systems and consensus algorithm expertise and strong Java skills.

CrowdStrike is hiring a Senior Platform Engineer to design, implement and maintain scalable hybrid multi-cloud Kubernetes platform solutions. The role requires 5+ years of Kubernetes experience (clusters at thousands of nodes), expertise with Prometheus, Thanos, Alertmanager, Grafana, Golang, and experience across AWS, GCP, OCI and large Linux environments. Candidates must be eligible for CJIS clearance (U.S. citizenship or permanent resident/Green Card). Salary range for U.S. candidates: $140,000 - $215,000 per year.

Lead the technical strategy and implementation of test infrastructure (orchestration, test selection, sharding, flaky-test detection, and result analysis) to improve test feedback speed and reliability. Operate and own systems end-to-end (architecture, observability, SLOs, on-call), partner with engineering teams to remove bottlenecks, and mentor engineers. Requires 10+ years experience, proficiency in Go or similar, and experience with Kubernetes, AWS, GitHub Actions, Terraform, containers, and observability tooling.

Join Elasticsearch's Distributed Systems team to work on scale, performance, and resilience for the Serverless Elasticsearch product. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination, scaling shards/nodes/data, diagnosing performance and concurrency issues, and owning operational investigations. Strong core Java, distributed systems, consensus algorithms, and debugging skills required. Typical starting salary range: €61,100–€96,600 EUR per year.

Work on core Elasticsearch distributed-systems components for the Serverless offering: concurrent and consistent indexing, cluster coordination, shard/node scalability, performance and concurrency issues, and end-to-end operational investigations. Requires strong core Java, distributed systems and consensus algorithm expertise, and experience debugging and optimizing complex, multi-node systems.

Work on deep distributed-systems problems for Elasticsearch Serverless: indexing, allocation, cluster coordination, and performance at scale. Requires strong Java skills, expertise in distributed systems and consensus algorithms, and experience debugging and operating multi-node systems. Candidates should be able to own technical projects end-to-end and support operational investigations.

Pindrop seeks a Senior Production Support Engineer (contract) based remotely in Ukraine to own resolution of complex production issues, lead Sev1 incident response, perform root cause analysis, and collaborate with Engineering, Product, and Customer Success. Requires 7+ years experience, advanced English (C1), hands-on knowledge of VoIP and TCP/IP, familiarity with cloud platforms (AWS/GCP), Linux, relational databases, scripting, monitoring, and cloud-based ticketing/incident management tools. The role includes on-call rotations and mentorship responsibilities.

Mozilla is hiring a Staff Operations Engineer to lead architecture, reliability, and evolution of hybrid-cloud and workplace infrastructure. The role requires 6+ years in systems/infrastructure engineering and experience with VMware, Cisco UCS, Linux/Unix, networking (DNS, TCP/IP), data center environments, automation/IaC (Puppet/Ansible), Python, observability, and containerization. US-based remote; listed salary ranges span approximately $139,000–$218,000 USD annually across tiers.