NVIDIA seeks a Senior DevOps and Infrastructure Engineer to support and develop OpenStack services (including Ironic) and cloud operations. The role requires troubleshooting PXE boot and related services, working with OpenStack components (nova, Neutron, Glance, Cinder), and using tools such as Ansible, GitLab, Jenkins, Grafana, Datadog, and Elasticsearch. Candidate should have 8+ years of relevant experience and familiarity with supporting services like MySQL, RabbitMQ, Ceph, HAProxy, and Keepalived.

Lead end-to-end architecture and technical strategy for large-scale digital transformation initiatives, designing enterprise and data architectures, integration and cloud-native solutions, and generative AI (LLMs, RAG, AI agents). Requires 15+ years experience in technology/solution/enterprise architecture, strong stakeholder and presales collaboration, and domain knowledge in automotive systems.

Owner of small-to-medium data platform initiatives: build self-service onboarding, improve ingestion and transformation (batch/streaming, CDC), enforce governance (PII masking, residency, access), set SLOs and observability, control costs, and enable AI-assisted development. Technologies referenced include GCP/BigQuery, Python, SQL, Terraform, dbt and Airflow.

Lead resolution of complex, high-severity customer incidents across Kubernetes, Red Hat OpenShift and OpenStack. Provide final escalation (EME) support, perform RCAs, develop automation with Python and Ansible, and participate in a mandatory rotational on-call/follow-the-sun schedule. Requires strong Linux administration, networking, containerization and troubleshooting skills.

Build backend services, APIs, integrations and data pipelines using Go and Python; own features end-to-end including testing, deployment and production operations. Work with cloud-native systems (Kubernetes, containers), CI/CD and observability, and use AI-assisted development tools while validating outputs. Familiarity with REST APIs, relational databases and distributed systems is expected.

Maintain and update Udacity School of Cloud course content, exercises, project starter code, Workspaces (Docker in Kubernetes) and Cloud Labs (AWS/Azure/GCP). Responsibilities include analyzing course metrics, fixing bugs, upgrading code and dependencies (Python/Node.js), testing labs, and troubleshooting federated cloud account access and permissions. Requires strong knowledge of at least two cloud providers, containerization, IaC tools, CI/CD familiarity, Git, and a minimum of 2 years software development experience.

Lead SRE initiatives to improve reliability, scalability, and operational efficiency across multi-cloud environments using tools such as Prometheus, Grafana, ELK, Terraform, and Ansible. Requires 5+ years SRE/DevOps experience, strong Go or Python skills, deep Linux internals knowledge, and production Kubernetes/Docker experience. Role is remote (hiring in Australia or India), includes a one-week on-call rotation every 4–5 weeks (02:00–10:00 UTC) and no visa sponsorship.

Responsible for designing and building multi-tenant cloud SDN control and data plane software, virtual network orchestration, and network observability; operating OVS/OVN-based SDN in large-scale environments; and maintaining CI/CD, GitOps, and production reliability. Requires 5+ years of experience, expert knowledge of OVS/OVN/OpenFlow, strong C and Go skills, scripting in Bash/Python, and practical Kubernetes/CNI experience.

NVIDIA is hiring a Senior AI/ML HPC Cluster Engineer to lead day-to-day operations, reliability, and performance optimization of on-premises and cloud GPU clusters. The role requires a minimum of 5 years' experience with large-scale compute infrastructure and hands-on skills with schedulers (e.g., Slurm, K8s, PBS), Linux administration, configuration management, container technologies, Python/bash scripting, and MPI-based workflows.

Role owns lifecycle and automation of Kubernetes environments for network systems across data centers and cloud, including cluster provisioning, upgrades, GitOps delivery, observability, capacity, and production on-call/incident response. Requires 8+ years of relevant experience, deep Kubernetes expertise, proficiency in a general-purpose language (Go or Python), and experience with GitOps, IaC, CI/CD, and network automation/telemetry on Kubernetes.

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.

Proofpoint is seeking an SRE to deploy, manage, and scale distributed platforms across regions, design and maintain Kubernetes infrastructure and Helm charts, implement observability (Grafana, Prometheus, etc.), improve reliability and performance through automation, support CI/CD and incident response, and troubleshoot production issues. Requires 4–5 years experience in SRE/DevOps, strong Kubernetes, Terraform, AWS, Helm, and scripting skills.

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).

Provide 24/7 shift-based network operations and incident remediation for NVIDIA's cloud and data center networks. Responsibilities include alert monitoring and resolution within SLAs, troubleshooting L3 underlay and multi-vendor network protocols (BGP, OSPF, MPLS, EVPN, etc.), engaging vendors for hardware/software issues, and contributing to automation and monitoring tooling.

Seeking an experienced Data Architect with deep Snowflake expertise to design and manage secure, compliant data platforms for medical device and healthcare domains. Responsibilities include data modeling, building data lakes/warehouses, ETL/ELT and pipeline architecture, governance and compliance (HIPAA, FDA, GDPR), cloud integration (AWS/Azure/GCP), and enabling analytics/AI use cases. 6-month contract (extendable), remote within India, 8+ years of relevant experience required.

Hiring a Senior Platform/DevOps Engineer responsible for designing and maintaining standardized base container images, owning and improving CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), integrating vulnerability scanning and supply-chain security, and improving developer experience. Requires 6+ years in DevOps/Build/Platform engineering and hands-on experience with Kubernetes (EKS), AWS (IAM, ECR, EC2), Docker, and vulnerability scanning tools.

Equal Experts seeks a Senior Operability/DevOps Engineer to work in agile teams, pairing with developers to improve operability and continuous delivery. The role requires strong automation and CI/CD experience (Jenkins, GitLab, GitHub Actions), cloud platform knowledge (AWS/Azure/GCP), IaC tools (Terraform, CloudFormation, Pulumi), monitoring/telemetry tooling, Linux/Windows command-line skills, and production support experience.

Join Tyk's centralized SRE team to operate and automate Tyk Cloud (multi-region Kubernetes). Responsibilities include building self-serve tooling, running services/databases (MongoDB, Redis), improving observability (Prometheus/Grafana), writing Go automation (including Kubernetes operators), supporting SOC 2 work, and participating in a rotating on-call rota (one week in three initially, 02:00–14:00 UTC shifts). Requires 3+ years in SRE/platform roles, production Kubernetes experience (ideally EKS), AWS/infrastructure-as-code experience, and strong Linux and networking fundamentals.