Staff Engineer, CI/CD & Cloud Infrastructure

Responsibilities

• CI/CD & Build Engineering
• Design, build, and maintain CI/CD pipelines using GitHub Actions or similar platforms
• Manage build systems for Python, C/C++, and CUDA codebases on Linux
• Integrate build tools (CMake, Make, pip, setuptools) into automated pipelines
• Implement robust versioning, tagging, and artifact management strategies
• Ensure full traceability of builds, test results, and artifacts from commit to deployment
• Manage Docker-based build environments including base images, caching, and reproducibility
• Maintain and optimize build performance, parallelism, and reliability
• Cloud Infrastructure (AWS)
• Architect and manage complex AWS infrastructure including:
• IAM roles, policies, and access management
• Storage services (S3, EBS, EFS) with tiered lifecycle policies
• Databases (RDS, DynamoDB, or similar) with backup and
• failover strategies
• Data workflow and pipeline engines (Step Functions, Airflow, or
• similar)
• Compute services (EC2, ECS, EKS, Lambda) scaled to workload

Requirements

• Implement infrastructure as code using Terraform
• Manage Kubernetes clusters and Helm charts for containerized
• workloads
• Design for scalability, high availability, and disaster recovery
• Manage cost optimization, resource tagging, and infrastructure
• governance
• Support multi-account and multi-region strategies as needed
• Familiarity with Azure and GCP for secondary or hybrid
• On-Premises HPC & Hybrid Infrastructure
• Provision, configure, and manage on-premises Linux HPC nodes used for secondary and tertiary data processing
• Define infrastructure-as-code (Terraform, Ansible, or similar) for reproducible HPC node provisioning and configuration
• Manage high-speed networking infrastructure between instruments, HPC nodes, and storage (configuration, monitoring, troubleshooting)
• Implement and manage shared storage systems (NFS, parallel filesystems, or similar) accessible to both local HPC and cloud compute
• Design and operate hybrid burst-to-cloud infrastructure - provision and manage AWS compute resources that extend local HPC capacity on demand
• Collaborate with the data pipeline team to ensure infrastructure meets throughput, latency, and reliability requirements
• Manage OS patching, driver updates, and GPU runtime environments across HPC nodes
• Monitor HPC cluster health, utilization, and capacity to inform scaling decisions
• Experiment Data Management & Pipelines
• Design and operate data ingestion pipelines for high-volume experiment data from lab instruments
• Implement tiered storage strategies (hot/warm/cold) to balance accessibility, performance, and cost
• Deploy and manage search infrastructure (Elasticsearch/ OpenSearch) to make experiment data universally discoverable and queryable
• Build data cataloging and metadata tagging systems so datasets are well-organized and self-describing
• Integrate visualization tools (Grafana, Kibana, or similar) to enable engineers and scientists to explore and analyze experiment data
• Design data lifecycle policies including retention, archival, and compliance requirements
• Ensure data pipelines are reliable, idempotent, and observable with clear error handling and retry logic
• Work with engineering and science teams to define data schemas, access patterns, and query requirements
• Deployment & Release Engineering
• Own deployment workflows for software delivered to embedded instruments in our central lab
• Manage release processes for a small number of complex, high- value lab-operated instruments
• Design deployment strategies that account for rollback, validation, and minimal downtime
• Coordinate versioned releases across multiple software components and dependencies
• Support development, staging, and production environment parity
• Logging, Observability & Traceability
• Implement centralized log collection and aggregation across cloud and on-site systems
• Deploy and manage observability tooling (Prometheus, Grafan

Benefits

Additional Information

Staff Engineer, CI/CD & Cloud Infrastructure Location: San Diego, CA Job Type: Full-Time Salary Range: $ 175,000 - $185,000 Position Overview We are looking for a Staff CI/CD & Cloud Infrastructure Engineer to own and evolve our build pipelines, deployment workflows, and cloud infrastructure. You will be responsible for ensuring that software - spanning Python, C/C++, and CUDA on Linux - is built, tested, versioned, and deployed reliably across both AWS cloud environments and a fleet of complex embedded instruments operated in our central lab facility. This is a senior hands-on role for an engineer who thrives at the intersection of DevOps automation, cloud infrastructure management, and release engineering. You will design and maintain CI/CD pipelines, manage complex AWS infrastructure as code, and ensure full traceability from source commits through builds, tests, artifacts, and deployments. You will work cross-functionally with firmware, application, and HPC engineers to keep the entire delivery pipeline fast, reliable, and observable.

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Company Intel

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