Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Owns the reliability of cloud private networking, firewall, and IPSec Gateway services across a global fleet. Responsibilities include phased deployments, Linux networking operations, packet-level troubleshooting, automation with Python or Shell, configuration management, monitoring with Prometheus and Grafana, alerting, runbook maintenance, incident response, SLO improvement, and technical readiness reviews.

Designs end-to-end architectures and high-level designs for web security products and features, spanning configuration, reporting, runtime systems, analytics, and attack detection. Collaborates with product management and cross-functional teams to define requirements, guides engineering implementation, presents designs, and contributes security product expertise and technical roadmap direction.

Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Improve observability, automate infrastructure processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role requires deep Linux, kernel, virtualization, ARM hardware, large-scale infrastructure, DevOps, and configuration-management expertise.

Architects scalable distributed systems and low-level cloud platform services, establishes engineering standards and SLOs, designs CI/CD and deployment safety pipelines, leads complex incident escalations and postmortems, and mentors engineering teams. The role requires full-stack, API, and microservices development in Linux or Unix environments, strong SRE expertise, architectural leadership, and US citizenship with eligibility for security clearance.

Leads and grows an engineering team building and operating a scalable Kubernetes-based cloud-native platform. Partners with product and leadership on roadmap execution, drives technical excellence, reliability, security, and operational efficiency, and manages delivery timelines and resources in an Agile environment. The role also mentors engineers, supports career development, fosters inclusion, and oversees hiring and retention while ensuring high availability and strong software development practices.

Leads security compliance assessments and audit readiness across cloud infrastructure and delivery services. Translates regulatory standards into technical guidance, evaluates architectures and controls, conducts risk assessments, directs remediation, and develops compliance playbooks and automated monitoring workflows. The role also mentors team members, coordinates audit evidence collection, and represents the organization during external certification assessments and audits.

Assesses and mitigates security risks across applications, systems, networks, and cloud infrastructure. Conducts security assessments, identifies vulnerabilities and compromises, deploys mitigating controls, performs compliance investigations, and develops security guidance, policies, scripts, and tools. The role requires collaboration with IT, engineering, and business units, with emphasis on NIST frameworks, adversarial techniques, malware, intrusion management, FedRAMP, and CMMC environments.

Leads design and implementation of globally distributed AI inference platform components. Builds and optimizes containerized AI workloads, integrates inference frameworks, improves scalability and reliability, and supports GPU-accelerated model serving. Provides technical leadership through mentoring, code reviews, design discussions, and technical decision-making. Collaborates across teams on platform standards, operational excellence, observability, and high-performance cloud-native systems.