Top Entry Level DevOps Jobs in San Francisco Bay Area, CA

Own production infrastructure, deployments, environments, reliability, observability, cost, and enterprise security. Build AWS-based infrastructure as code, containerized CI/CD systems, and observability for long-running probabilistic AI workloads. Establish reliability practices, manage performance and costs, and prepare security and compliance foundations for enterprise customers. The role requires hands-on ownership in a small-company environment and pragmatic decisions about scaling and infrastructure investment.

Build, secure, automate, and support AWS and Azure cloud platforms. Develop Terraform-based infrastructure, CI/CD pipelines, monitoring, logging, and alerting solutions; improve deployment automation, reliability, and security. Collaborate with software engineering and cloud teams, investigate incidents, perform root cause analysis, automate operational tasks, and use AI-assisted tools to improve troubleshooting and documentation.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Build and maintain CI/CD pipelines, provision infrastructure with Terraform, and manage AWS cloud services and containerized environments. The role supports Kubernetes, Argo Workflows, AI engineering platforms, secure infrastructure baselines, and internal developer tooling. The engineer partners with architecture and development teams to deliver reliable, scalable infrastructure patterns while documenting decisions and collaborating in an Agile remote environment.

Build and operate scalable CI/CD, GitOps, and monorepo infrastructure for frontier models and custom AI accelerators. Design regression, benchmarking, release qualification, orchestration, artifact management, observability, and capacity-control systems. Partner with model, compiler, kernel, runtime, firmware, validation, and hardware teams to automate production-readiness gates, improve reliability and developer productivity, and shorten feedback loops.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Manage and optimize a large AWS infrastructure, addressing scalability and availability concerns while preparing for significant growth. Lead systems management and automation efforts, collaborate with data science, computer vision, machine learning, and software teams, and improve the engineering lifecycle. The role also involves connecting cloud infrastructure with IoT and using technologies such as Docker, Ansible, Python, and database systems.

Manage and scale AWS infrastructure, improving availability, scalability, and system performance. Lead systems management and optimization across engineering teams, connect cloud infrastructure with IoT hardware, and streamline development workflows through DevOps practices. The role requires strong Python and scripting skills, AWS expertise, automation frameworks, relational databases, networking fundamentals, and container technologies.

Loti AI seeks a DevOps engineer for decentralized infrastructure to deploy, scale, and maintain distributed systems, manage IPFS clusters, and oversee blockchain nodes.

Implement and support DevOps/CI practices using Jenkins, Gradle, and Artifactory; manage Linux server environments; maintain source control with GitHub; use Puppet for configuration management; write automation scripts (bash, Ruby, or Python); participate in SDLC processes and communicate with stakeholders.

Design, build, and operate an AI-first CI/CD and agent operations platform for Salesforce and custom applications. Define agentic and human approval lanes, implement environment and secrets strategies, establish observability, rollback, kill switches, and audit trails, and support SOX controls. Partner with engineers, analysts, business approvers, and auditors while measuring pipeline performance and improving deployment workflows.

Apply to join Galaxy Ventures' invite-only Talent Network for DevOps, SRE, QA, and Security professionals. Upon acceptance, your profile may be discreetly shared with portfolio companies for relevant roles, and you'll receive invitations to exclusive networking events. Participation is confidential and non-binding.