Join the Ads Reliability team to improve reliability, scalability, and operational excellence for Reddit's advertising platform. Responsibilities include designing and maintaining infrastructure and automation, improving observability, participating in on-call rotations and incident response, driving SRE best practices (SLIs/SLOs/error budgets), and scaling systems to support advertiser-critical journeys. Requires 5+ years of SRE or related experience and strong software engineering skills (experience with Go noted).

NVIDIA seeks a Senior Manager to direct HPC service engineering for planning, deploying, validating and operating large-scale AI/HPC systems. Requires 10+ years in IT/HPC (including 3+ years in management), experience with InfiniBand/Ethernet, cluster provisioning tools (Slurm, salt, xCAT), parallel programming (MPI/OpenMP/NCCL) and Linux/Unix administration. Position is for US-based locations (remote) and the posting lists base salary ranges (USD 216,000–396,750 depending on level). Applications accepted through November 3, 2026.

NVIDIA is hiring a High-Performance Storage Architect to join the Infrastructure Specialists team (Santa Clara, CA / remote). Responsibilities include deploying, managing, and validating high-performance storage for AI environments, acting as domain expert during customer engagements, producing documentation and knowledge transfers, and providing feedback to internal teams. Requires 5+ years supporting hardware/software storage products and experience with SDS, NFS, S3, NVMe-oF, Lustre, GPFS, RDMA (RoCEv2/InfiniBand), storage benchmarking tools (FIO, IO500, IOR, HPL, NCCL, MLPerf), Linux administration, networking, and scripting (Bash, Python, Ansible). Salary ranges provided in the posting.

Join Discord as a Staff Software Engineer on the Safety Processing team to design and implement scalable backend systems (primarily Python) that process safety signals, improve content moderation via ML/AI and automation, mentor engineers, and collaborate across teams. Role is US-based in the San Francisco Bay Area or Los Angeles Area (LA remote possible; SF hybrid). Salary range provided: $279,000–$341,000 USD base.

Lead the multi-year technical strategy and architecture for Central Operations & Systems, drive cross-company platform initiatives (infrastructure, observability, deployment patterns, AI support), and establish standards and contracts between platform and product teams. Requires 12+ years of software engineering experience, proven experience architecting large-scale distributed systems, and familiarity with cloud platforms (AWS/GCP/Azure), Kubernetes, security/compliance, and infrastructure-as-code.

Kindred seeks a Senior Infrastructure/Platform Engineer to own cloud architecture and platform strategy, design and maintain scalable AWS infrastructure, implement infrastructure-as-code (Terraform/CloudFormation), manage CI/CD and containerization (Docker/Kubernetes), build automation and internal tools, and improve observability and incident response. Role is remote for candidates in the US or Canada and requires 5+ years in platform/infrastructure/DevOps/SRE roles.

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.

NVIDIA seeks a Senior Technical Marketing Engineer to stand up and validate full DSX software stacks on multi-node GPU systems, produce technical content (reference architectures, guides, runbooks, demos), automate deployments, and support partners and field teams. Requires 8+ years of relevant infrastructure/systems/solutions engineering experience and hands-on knowledge of Linux data center or cloud AI infrastructure, Kubernetes and/or Slurm, containers, IaC, observability, networking, and storage.

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.

The Home Depot seeks a Senior Principal Software Engineer (Reliability Engineering) to lead portfolio-level architecture, resiliency design (including chaos engineering and error budgets), vendor interoperability, and cloud cost optimization across multiple development teams. Requires at least 7 years of relevant experience, experience with retail business processes, Agile/Lean environments, and legal authorization to work in the United States. Stated pay range (for certain US residents) is $170,000–$280,000 per year. Travel is typically 5–20%.

NVIDIA is hiring a Senior Solutions Architect to work hands-on with cloud partners to solve Day 2 operations challenges for large-scale GPU and AI infrastructure. The role requires substantial production infrastructure experience (12+ years, or 5+ years of exceptional specialist-level work) and hands-on knowledge across GPU/HPC/cloud stacks (e.g., Kubernetes/Slurm, Prometheus/Grafana/OpenTelemetry, Terraform/Ansible/Argo CD, Linux, Python/Bash) and storage/networking/GPU technologies. The posting lists an expected base salary range of 224,000–356,500 USD per year.

Lead the architecture, development, and ownership of a real-time, low-latency cross-asset risk and margin engine used across Coinbase’s trading platforms. Requires hands-on experience building production-grade distributed systems (low-latency Java, high-throughput messaging such as Aeron/SBE), expertise in portfolio/user risk modeling, margin/multifactor/borrow risk, and responsibility for SLOs, observability, and incident response. Position is remote (USA) with quarterly in-person working sessions; posted annual base salary range $253,895–$298,700 USD.

Lead technical direction and implementation of Kubernetes-based platform systems that support GitHub production services, focusing on reliability, automation, operational clarity, and reducing toil. Work includes cluster lifecycle and fleet management, AKS migration, capacity and control-plane reliability, debugging production issues across cloud infrastructure, and mentoring engineers. Requires extensive software engineering experience and hands-on Kubernetes/cloud-native platform experience.

Senior/Staff Architect role on Coinbase's Trading team responsible for architecting and owning core trading systems including sequencer, low-latency connectivity and messaging fabric, OMS/EMS, multi-venue connectivity, and execution. Requires hands-on experience building production-grade, low-latency, high-throughput distributed systems (Java, Aeron/SBE), driving SLOs/observability, incident response, and working in regulated financial environments.

Work on design, deployment, automation, monitoring and troubleshooting of large-scale HPC/AI clusters (bare metal to software stacks). Requires a degree (or equivalent) and 8+ years of experience with HPC/AI technologies, job schedulers (e.g., Slurm), orchestration (K8s), Linux/Windows, storage (Lustre, GPFS, Weka.io), networking (InfiniBand, Ethernet) and scripting/automation (Python, Bash, Jenkins, Ansible, etc.).

Join Coinbase's CB Node team to optimize performance and reliability of blockchain nodes spanning ~55 protocols. Responsibilities include performance analysis and optimization, building observability/health-check/automated-failover systems, right-sizing node fleet, defining SLOs/SLIs, and supporting protocol upgrades. Requires 2+ years of software engineering experience with systems-level performance work, distributed systems familiarity, and backend programming (Go preferred). Familiarity with profiling and observability tooling (pprof, Datadog, Prometheus, Grafana) is expected.

Join GitHub's Production Engineering organization to embed with product and infrastructure teams to improve reliability, scalability, and operability of production systems. Responsibilities include diagnosing and resolving live incidents, building software and infrastructure to improve operations, driving observability and capacity planning, automating operational workflows, and mentoring engineers. Required experience includes extensive software engineering background and experience with large-scale distributed systems and languages such as Go, Rust, C++, Java, Python, or C#.

NVIDIA seeks a Senior MLOps Engineer to collaborate with strategic customers to implement and optimize AI workloads, profile and tune large-scale training and inference, build MLOps pipelines, and support new hardware and open-source frameworks. Requires a BS/MS/PhD or equivalent, 8+ years technical experience, strong systems knowledge (Linux, Kubernetes, batch schedulers, distributed filesystems, datacenter networking), scripting and systems programming (Python, bash, C++/Go/Rust), and experience with deep learning frameworks. Listed salary ranges: $184,000–$287,500 (Level 4) and $224,000–$356,500 (Level 5).

Join GitHub's Copilot Agents organization to design, implement, and operate the context layer that enables AI agents to find, retain, and apply software-development context across code, issues, PRs, and tools. The role involves leading technical architecture, building platform APIs for retrieval, memory, sessions and evaluation, and working cross-functionally; requires substantial production software engineering experience and familiarity with information/context retrieval and generative-AI systems.

Join Reddit's Content Platform team to design, write, and deliver backend services (primarily Go, with some Python) that power core content experiences (feed, posting, commenting, voting). The role involves improving availability, scalability, latency, and efficiency, diving into both Go services and Reddit's monolith Python stack, sharing on-call duties, and collaborating with cross-functional teams. Requires 3+ years of software engineering experience and familiarity with databases (Cassandra, Postgres, Redis) and cloud infrastructure (Kubernetes, AWS/GCP).