Top Cloud Engineer Jobs in San Francisco Bay Area, CA

Operates and designs hybrid on-premises and AWS network infrastructure, including VPCs, Transit Gateway, VPN, Direct Connect, routing, firewalls, and security controls. Leads CIDR remediation, maintains network documentation and IPAM records, automates infrastructure with Terraform, Ansible, and Python, and supports FedRAMP-aligned environments. The role coordinates Network and Cloud Ops teams, mentors engineers, manages vendors, handles Tier 1 and Tier 2 escalations, and participates in a 24x7 on-call rotation.

Designs, implements, and improves secure, reliable infrastructure services across hybrid cloud environments. Leads infrastructure projects, complex incident resolution, configuration compliance, patching, automation, disaster recovery, audits, and tool evaluations. Develops operational policies and documentation, mentors junior engineers, and coordinates with security, network, application, cloud, and service desk teams. Requires advanced cloud, systems administration, infrastructure automation, security, troubleshooting, and technical leadership experience.

Designs and manages CI/CD pipelines, develops Terraform-based Infrastructure as Code, integrates AWS and Azure services, and maintains cloud and on-premises infrastructure. The role automates development processes, monitors system performance, ensures compliance and security, conducts production root cause analysis, and collaborates with development teams on software integration. Responsibilities also include managing Kubernetes, source control, observability, networking, and cloud operations tools.

Create and maintain runnable, tested developer-facing documentation and example repos (Terraform/CloudFormation/CDK, SDKs, CLI) for AWS workloads; instrument docs for activation and trial conversion; collaborate with engineering, product, and growth to optimize onboarding and self-serve success.

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Architects, deploys, and enhances secure, scalable Azure cloud environments using Terraform and infrastructure as code. Leads Azure landing zone architecture, governance, automation, CI/CD integration, self-service enablement, cloud optimization, and compliance with healthcare security standards. Supports cloud operations, troubleshooting, on-call availability, and team training, including GitHub Copilot and Azure MCP Server adoption.

Designs, secures, operates, and scales AWS infrastructure and container platforms. Administers Linux, Windows Server, Nutanix, Rancher, ECS Anywhere, SMTP relays, and SSL/TLS certificates. Builds infrastructure as code and automation using CloudFormation, Python, PowerShell, Bash, and AWS Systems Manager. Maintains monitoring, alerting, reliability, and compliance support for HITRUST and SOC 2. Participates in on-call support and works independently across cloud engineering, systems administration, and business priorities.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Design, configure, and maintain cloud infrastructure across Azure and AWS. Own IaC (Terraform, Ansible, PowerShell) and CI/CD pipelines, integrate source control and automated testing/security, implement governance and hybrid cloud solutions, deploy generative AI services, monitor performance, support disaster recovery, and collaborate with cross-functional teams to ensure secure, scalable, and compliant cloud platforms.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, reliability engineering, incident response, and automated repair. The role works across hardware, networking, Linux, Kubernetes, data center operations, and partner teams to safely bring GPU capacity into production.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Lead design and hands-on development of AWS-based serverless backend and IoT cloud services. Build Python Lambda microservices, REST APIs, telemetry pipelines, and secure AWS IoT Core device communication. Mentor engineers, define architecture patterns, ensure production readiness (monitoring, CI/CD, security), and guide cross-functional integrations and technical roadmaps.

Build and maintain full-stack web applications, APIs, backend services, integrations, and event-driven data pipelines. Collaborate on architecture, product requirements, code reviews, testing, troubleshooting, and engineering standards. Contribute to scalable, secure, reliable software while mentoring engineers and supporting development-process improvements.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.

Performs customer-facing and internal software upgrades, patches, deployments, rollback support, validation, troubleshooting, and cloud migrations. The role also maintains documentation, supports CI/CD tooling and automation, coordinates upgrade schedules, applies security patches, and collaborates with cross-functional teams. This entry-level position develops cloud release engineering skills through mentorship and hands-on work.

Analyze cloud and Kubernetes usage to identify cost inefficiencies, anomalies, and optimization opportunities. Build scripts, API integrations, dashboards, forecasts, and repeatable workflows to improve cloud-cost visibility and efficiency. Partner with engineering, product, finance, architecture, and leadership teams to implement recommendations, support commitment planning, and expand FinOps practices through tools, standards, documentation, and education.

Resolve complex technical issues involving Akamai products, distributed networks, and origin infrastructure. Analyze network data, support customer teams before and after sales, develop service best practices and knowledge articles, and serve as a subject matter expert. Collaborate with engineering and product management on service supportability, customer feedback, requirements, and product enhancements.

Build and operate CoreWeave’s multi-cloud internal infrastructure across GCP, Azure, and AWS. Manage cloud foundations, IAM, networking, Terraform infrastructure as code, monitoring, logging, CI/CD, backups, disaster recovery, and production reliability. Troubleshoot complex infrastructure and application issues, support cloud migrations and acquisitions, implement secure architecture patterns, and contribute to incident response and root-cause analysis. Mentor junior engineers and communicate technical decisions across teams.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

Owns Site Reliability Engineering for a customer-facing SaaS platform across Azure and Azure Government. Responsibilities include monitoring and observability, incident response, root cause analysis, reliability improvements, automation, infrastructure as code, CI/CD, performance optimization, disaster recovery, and operational security. The engineer will define and track SLIs, SLOs, and error budgets, lead post-incident reviews, reduce operational toil, and collaborate with development teams on scalable, reliable platform operations.

Own and evolve the cloud foundation supporting AWS accounts, IAM, networking, DNS, governance, and Terraform execution. Build self-service infrastructure controls, automate compliance and access management, establish scalable platform patterns, and improve cost visibility. Partner with Security, GRC, IT, and engineering teams while operating reliable, observable systems and participating in on-call support.

Own and evolve Lambda’s cloud foundations, including AWS accounts, IAM, networking, DNS, Terraform, Atlantis, governance, compliance automation, and cost visibility. Build self-service infrastructure platforms and tooling in Go or Python, establish reliable operating practices, participate in on-call, and help define the new team’s scope and service boundaries.

Develop and deploy Salesforce Marketing Cloud solutions: build email templates and web pages (HTML/CSS/JS), write AMPScript/SSJS/WSProxy, manage Automation Studio and Journey Builder, create integrations via REST/SOAP APIs, design data models with SQL and data extensions, document setups, and collaborate across teams while owning technical decisions.

Design, build, and maintain scalable cloud infrastructure using AWS, GCP, or Azure. Implement SRE practices, monitoring, observability, capacity planning, Kubernetes and Helm deployments, CI/CD pipelines, automation, and cloud security controls. Collaborate with cross-functional teams, ensure compliance, and mentor engineers while improving reliability, availability, scalability, and performance.