Work on designing, developing, and operating scalable backend systems and Core APIs (Go/Node.js), define and own SLIs/SLOs and error budgets, build observability (metrics, logging, tracing), participate in on-call rotations, perform capacity planning and performance tuning, and mentor other engineers. Requires 5+ years backend experience and hands-on SRE practices, plus experience with Docker, Kubernetes, AWS, Terraform/CloudFormation, Datadog, and databases like DynamoDB/Redis/Elasticsearch.

NVIDIA seeks a Senior High-Performance Storage Engineer to join the Infrastructure Specialists team to design, deploy, manage and validate large-scale storage infrastructures for AI Factory environments. Requires a four-year degree or equivalent experience, 5+ years supporting hardware/software storage products, expertise with SDS, NFS, S3, NVMeoF, Lustre, GPFS, RDMA/RoCEv2/InfiniBand, storage benchmarking tools, Linux administration, networking and scripting (Bash/Python/Ansible). Role involves customer interaction, documentation, automation and up to ~20% travel within the region.

Senior Engineer role on the Platform Engineering team responsible for designing and delivering highly available, scalable and secure platforms. Work areas include site reliability, cloud infrastructure, observability, IaC (Terraform/OpenTofu), Kubernetes, production operations and use of AI tools. Candidates should have experience architecting or delivering large-scale platforms. Base salary range £66,000–£111,000 GBP.

NVIDIA is hiring a High-Performance Storage Architect to deploy, manage, and validate high-performance storage in Linux-based AI Factory environments. Requires 5+ years supporting storage hardware/software, familiarity with SDS, NFS, S3, NVMeoF, Lustre, GPFS, RDMA/InfiniBand, storage benchmarking tools (FIO, IO500, IOR, HPL, NCCL, MLPerf), strong Linux administration, networking and scripting (Bash, Python, Ansible). Travel to customer sites up to 20%.

NVIDIA seeks a Senior High-Performance Storage Architect to deploy, manage, and validate HPC storage infrastructures in AI-focused Linux environments. The role requires 8+ years of storage deployment and validation experience, expertise with storage technologies (SDS, NFS, S3, NVMeoF, Lustre, GPFS, RMDA/RoCEv2/InfiniBand), benchmarking tools, Linux administration, scripting (Bash/Python/Ansible), and up to 20% regional travel to customer sites.

Join GitHub’s Data Architecture team to improve reliability, observability, and operational tooling for Redis-based caching and Object Storage across GitHub. Responsibilities include designing and shipping scalable solutions, incident investigation across services, participating in on-call rotations, writing architecture proposals, and collaborating with infra, security, and product teams. Required: multiple years of software engineering experience (6+ years indicated), distributed systems experience, and proficiency with several programming languages and infrastructure tooling.

Discord is hiring a Staff Software Engineer for its Safety Processing team to design and build scalable backend systems (primarily in Python) that process safety signals and support content moderation and compliance. Role includes architectural leadership, mentoring, implementing ML/AI and automation, and participating in on-call rotations. Position is US-based, limited to candidates in the San Francisco Bay Area or Los Angeles Area; posted base salary range is $279,000–$341,000 (USD, annual).

Role involves designing, deploying and supporting large-scale AI/HPC networking (Ethernet/InfiniBand/RDMA), including performance benchmarking, monitoring, troubleshooting, automation and CI/CD for network operations. Requires hands-on experience with switch/router platforms (Cumulus, SONiC, IOS, Junos, EOS), RDMA optimizations, automation tools (Ansible, Salt, Python) and at least 5 years of relevant networking experience. Strong English communication skills are required.

Lead architecture and development of a distributed storage-as-a-service optimized for AI/ML. Implement and maintain Go-based distributed programs, user-space applications, containers, Go-bindings, and CLI tools; work with Kubernetes and cloud provider integrations; automate deployment, management, and monitoring; collaborate across NVIDIA teams and external customers. Requires 8+ years' experience.

Kindred is hiring a Senior Infrastructure/Platform Engineer to lead cloud architecture, platform strategy, deployment pipelines, and infrastructure-as-code for a consumer travel product. The role focuses on building and maintaining scalable AWS infrastructure (EC2, ECS/EKS, RDS, Lambda, S3, CloudFront, VPC, IAM), developing internal tools and automation, implementing CI/CD and containerization, and improving observability and incident response. Remote for candidates in the United States or Canada; requires 5+ years of platform/infrastructure/DevOps/SRE experience.

At Coinbase, the Compute Platform Staff Software Engineer will design, build, and automate routing infrastructure that directs application traffic to Kubernetes backends at scale. Work includes developing capabilities on Envoy-based reverse proxies, Istio gateways and Ambient mesh, applying SPIFFE for service authentication, and partnering with Security, Reliability, and Observability teams. Requires 8+ years software/infrastructure experience, 5+ years with routing technologies (reverse proxies, ingress, CDN/WAF, service mesh), proficiency in Go/Python/Java, and experience scaling backend infrastructure on AWS. Annual base salary range: $218,025 — $256,500 USD.

Lead Level 2 Data Center NOC Engineer responsible for leading incident response (Incident Commander), mentoring L1 NOC staff, owning uptime of physical infrastructure (UPS, PDU, generators, CRAC/CRAH), and performing L2/L3 networking troubleshooting. Requires 7+ years in NOC/data center operations, hands-on experience with DCIM/BMS (Distech, Schneider, RadixIOT), observability and ITSM tooling (Grafana, Zenduty, ServiceNow, Jira, SolarWinds), and basic scripting (Python, Bash, PowerShell). U.S. base salary ranges provided ($119,548–$180,890 annual across listed tiers).

Role involves standing up and validating multi-node GPU systems and DSX-aligned software stacks; producing technical content (reference architectures, guides, runbooks, code examples, demos); automating deployments with scripting, IaC, containers, Kubernetes/Slurm, Helm, GitOps and CI/CD; testing pre-release software with representative workloads; collaborating with product, engineering, partners, and open-source communities. Requires 8+ years in infrastructure/systems/solutions/SRE or related roles.

Join a senior team of DBAs and SREs to scale and tune distributed MariaDB environments, strengthen HA and disaster-recovery, reduce manual work via automation and IaC (Terraform/GitOps), improve observability and security, and participate in on-call rotations. Positions listed for multiple European countries and several other locations.

Senior Staff ML Systems Engineer responsible for architecture and technical strategy across feature platforms, training-data systems, offline experimentation, and ML development workflows. Role requires partnering with Ads, ML Platform, Data Platform and engineering teams, mentoring senior engineers, and shipping platform abstractions to speed and harden ML development. Requires 8+ years in infrastructure/distributed systems and 4+ years building or operating production ML infrastructure; mentions experience with Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, or Databricks.

Hopper seeks a Senior Full Stack Engineer to own the voice channel end-to-end (telephony/CPaaS, streaming speech-to-text and text-to-speech, realtime model orchestration) and build features across React/TypeScript frontends, Scala and Python backend services, and cloud infrastructure. The role emphasizes low-latency realtime systems, multi-tenant design, observability and SLA-driven operations, and integrations with telephony and contact-center platforms.

Contract role based in/for Ireland. The senior engineer will own the voice channel end-to-end (telephony/CPaaS, streaming STT/TTS, realtime model orchestration), build product features across React/TypeScript frontends and Scala/Python services, design for multi-tenant scale, implement safety/compliance (guardrails, PII redaction), and maintain revenue-critical deployments via observability, alerting, and incident response. Requires ~6+ years' software engineering experience and experience with realtime/voice systems and cloud infrastructure.

Hiring a senior full stack engineer to own the realtime and voice channel end-to-end for HTS Assist, building React/TypeScript front ends, Scala and Python backend services, and cloud infrastructure (GCP/AWS). Responsibilities include telephony/CPaaS integrations, streaming speech-to-text/text-to-speech pipelines, realtime model orchestration, observability and SLA performance, multi-tenant design, and security/compliance plumbing.

Role requires end-to-end ownership of voice and realtime systems (telephony/CPaaS integrations, speech-to-text/TTS pipelines, realtime model orchestration), building front-end features in React/TypeScript, backend services in Scala and Python, and operating infrastructure on cloud (GCP/AWS). Emphasis on multi-tenant design, observability, SLAs, incident response, and mentoring.

Lead and run the Cyber Security Engineering team's operational activities: build team capacity, run and mature incident response processes and playbooks, support on-call rotation, drive detection engineering and automation, and partner with cross-functional teams to improve security across enterprise and SaaS environments. Requires incident response experience, security operations/engineering background, familiarity with SIEM (ideally Google Chronicle and YARA-L), cloud (AWS/GCP), containers (Kubernetes/Docker), EDR, and SOAR/scripting.