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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. Key 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 - requirements 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 queryab