Senior engineering role designing, implementing, and operating core services for Docker's Cloud Sandboxes platform. Responsibilities include microVM orchestration, workload scheduling, lifecycle management, building control-plane APIs, ensuring reliability and observability, collaborating with product and security teams, contributing to CI/CD and automation, and participating in on-call rotations. Location: Seattle or San Francisco Bay Area (remote-first).

Join Reddit’s Core Systems & Libraries team to develop, operate, and scale media ingestion, processing, storage, and distribution for hundreds of millions of users. The role requires 5+ years working on large-scale distributed systems, experience with languages like Python or Go, familiarity with Kubernetes and cloud platforms (AWS/GCP), and expertise in media delivery and processing technologies.

Own design, build, and operation of Kubernetes cluster management and developer-facing tooling (built on CNCF technologies including Kubernetes and Istio). Deliver compute capabilities (one-off jobs, cron, deployment strategies, EFS support, right-sizing), improve observability and incident response, and partner with Security and Reliability teams. Requires 5+ years software engineering experience, including 3+ years building/operating Kubernetes or similar orchestration systems; proficiency with Go/Python/Java; hands-on AWS and/or GCP experience; experience with Helm, Prometheus, ArgoCD, Envoy; and experience applying AI tooling to infrastructure workflows.

Red Hat Services seeks a Senior Consultant to implement and enable Red Hat solutions (OpenShift, RHEL, containers, cloud and virtualization) for customers. The role requires an active Top Secret SCI clearance with polygraph, willingness to travel frequently to client locations (weekly travel and ~30–40 weeks/year across North America), consulting and project leadership experience, and hands-on skills with Linux administration, Ansible, GitLab, Docker/Podman, Kubernetes, and enterprise cloud/virtualization platforms. Salary range listed: $118,600–$195,680/year.

Owner of design, implementation, and operational investigations for core distributed components of Serverless Elasticsearch. Role requires deep expertise in distributed systems, consensus algorithms, core Java, concurrency, and building/debugging large-scale multi-node systems; responsibilities include improving indexing, cluster coordination, scalability, and supporting engineering teams on performance and stability issues.

Consulting role responsible for end-to-end migration of a large financial-services data platform from Google Cloud (BigQuery, Cloud SQL, Dataflow) to AWS (Redshift, Aurora, DMS, Glue, S3). Work includes data mapping, schema conversion, ETL/ELT and CDC pipeline implementation, time-series and historical data migration at scale, and building monitoring/reconciliation frameworks. The role also involves mentoring teammates and partnering with client stakeholders on data governance, access patterns, and analytics requirements.

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.

Hands-on DevOps role on the Business Systems team responsible for CI/CD, platform reliability, observability, cloud infrastructure, secrets and security posture, and automation for GTM applications and AI agent workloads. Requires 4+ years in DevOps/SRE/platform engineering and experience deploying Salesforce and at least one other GTM/ERP platform; works with GCP (Cloud Run) and AWS (AgentCore/Bedrock) and applies IaC, container and supply-chain security, and incident management practices.

Lead validation, tuning, benchmarking, profiling, and root-cause analysis of multi-GPU and multi-node LLM workloads using NVIDIA stacks (PyTorch, NeMo/Megatron, TensorRT-LLM). Requires 8+ years building software infrastructure for large-scale AI/HPC, deep experience with NCCL/CUDA, expert Python and C/C++, and experience operating containerized scheduled clusters.

Udacity (an Accenture company) is hiring external independent contractors to mentor learners in cloud and DevOps topics. Responsibilities include 1:1 video calls, technical deep-dive sessions, and group Q&A. Mandatory technical skills focus on AWS (EC2, S3, RDS, Lambda, DynamoDB, VPC, IAM, SNS, Elastic Beanstalk), CloudFormation (IaC), Docker, Kubernetes, CI/CD (GitHub Actions), serverless, monitoring/CloudWatch, microservices, troubleshooting and automation. Candidates should have 5+ years of relevant experience and strong mentoring/communication skills.

Work on foundational infrastructure and critical systems: design secure, fault-tolerant cloud architectures, evolve CI/CD pipelines, manage infrastructure via IaC, implement containerized deployments, and improve observability. Requires 5+ years professional software development experience with backend systems, cloud platforms (AWS/GCP/Azure), IaC (Terraform/CDK/CloudFormation/Pulumi), container orchestration (Kubernetes/ECS/Docker), and familiarity with SQL/PostgreSQL and analytics stores like ClickHouse.

NVIDIA seeks a Senior Software Engineer to debug and extend cloud-native stacks for multi-rack, multi-tenant AI/ML datacenters (Kubernetes and Slurm), prototype operator and Slurm plugin features, build reproducible testbeds (Helm/Ansible/Terraform), and work directly with CSPs. Requires 10+ years in distributed systems software development, strong Kubernetes and Slurm expertise, GPU integration experience, and familiarity with CI/CD, observability, and infrastructure-as-code. Locations listed in the US (Austin, Redmond, Seattle, Santa Clara) and remote; published base salary ranges in USD are provided in the posting.

NVIDIA seeks a Senior Network Reliability/Operations Engineer to remediate alerts, triage production-impacting network incidents, engage vendors, and support large-scale IP networks across on-premises and cloud environments. Role includes 24/7 global shift rotations, working with peering and datacenter interconnect technologies (PNI, Transit, Exchange, DWDM), and using/creating tooling and automation. Required: deep knowledge of TCP/IP, BGP, OSPF, MPLS, VxLAN, EVPN, QoS, and experience with CSPs (AWS/Azure/GCP/OCI) and vendors like Arista, Juniper, and Fortinet. Posted salary ranges: USD 136,000–224,250 (Level 3) and USD 168,000–264,500 (Level 4).

Lead technical customer engagements for AI training, inference, and large-scale infrastructure with hyperscalers and cloud providers. Serve as primary NVIDIA product contact, drive design wins, run workshops/PoCs, guide scalable model deployment and inference optimization. Requires BS/MS or equivalent, 8+ years engineering experience, strong Linux, Python, GPU/CUDA and ML infrastructure knowledge; familiarity with cloud, containers, and deep learning frameworks. Salary ranges provided for levels 4 and 5.

Senior individual contributor responsible for AWS cloud and application security, including IAM and AWS-native security services, infrastructure-as-code (Terraform/AWS CDK), CI/CD-integrated SAST/DAST/SCA, vulnerability management, and compliance (SOC 2, ISO 27001, CIS Benchmarks). Requires ~5+ years security experience and 3+ years hands-on AWS security; US-remote.

Lead design, implementation, deployment, and production support of a new AI-first enterprise SaaS product. Daily hands-on Python development (FastAPI, Pydantic), architect for scalability, mentor engineers, perform code reviews, and collaborate with product management. Base salary range provided: $150,000–$300,000.

NVIDIA seeks a Senior Network Engineer to lead architecture and delivery of cloud network infrastructure (intra-DC, inter-DC, Corp IT, Internet). Requires 8+ years of experience with large-scale IP networking (MP-BGP, OSPF, ISIS, VRF, VXLAN/EVPN, QoS, IPSEC, MACsec), datacenter interconnect/peering (PNI, transit, DWDM), hands-on automation with Python/Shell, and experience with Arista/Cumulus/Fortinet equipment.

NVIDIA seeks a Senior Solutions Architect to drive technical execution across engineering, product, and sales teams to achieve hyperscaler-scale deployments of GPU-based data center infrastructure. Responsibilities include architecting high-performance distributed AI systems (on-prem or cloud), supporting sales to secure design wins, troubleshooting hardware/software issues with emphasis on deep learning inference, analyzing deployment logs, and developing demos and system designs. Requires a BS/MS/PhD or equivalent experience, at least 4 years in high-tech/system design or customer support, strong analytical skills, and excellent written and oral English communication.

Hands-on Solutions Architect responsible for architecting and scaling high-performance distributed AI infrastructure (on-prem or cloud) using NVIDIA GPU systems, supporting sales to secure design wins, and providing technical and onsite troubleshooting for deep learning inference workloads. Requires 8+ years in high-tech electronics/system design or technical customer support, strong analytical/problem-solving skills, and excellent English communication. Familiarity with NVIDIA hardware (e.g., H100, GB200), NCCL, DCGM, UFM, and embedded Linux is highlighted.

Udacity (an Accenture company) is hiring external part-time contractors as Cloud Technical Mentors to provide 1:1 sessions, technical deep-dives, and group Q&A for learners. Requires 5+ years of relevant technical experience, proficiency with cloud platforms (AWS preferred; GCP/Azure a plus), cloud architecture, DevOps/CI-CD practices, IaC (Terraform/CloudFormation), containerization (Docker/Kubernetes), monitoring/logging, and cloud security. Role is remote and open to candidates in specified timezones/regions (US, Canada, Europe, MENA, India, APAC).