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

Designs, deploys, and manages secure, scalable cloud infrastructure across AWS, Azure, or hybrid environments. Responsibilities include cloud networking, API gateways, IAM, Kubernetes and EKS administration, infrastructure automation, monitoring, disaster recovery, security, compliance, incident troubleshooting, and performance optimization. The role collaborates with application, platform, security, and DevOps teams while maintaining infrastructure standards and documentation.

Manages enterprise information security governance, risk, and compliance initiatives. Develops security policies and frameworks, leads data classification and threat modeling, conducts risk assessments, oversees vulnerability remediation, evaluates security controls, supports audits, and prepares risk metrics and executive reports. Partners with technical teams to embed security requirements and promotes governance best practices across the organization.

Leads QA initiatives and teams while designing Java, Selenium, and Cucumber automation frameworks. Establishes testing strategies, quality metrics, defect processes, and CI/CD integration. Oversees functional, regression, integration, API, and end-to-end testing for AWS-hosted applications. Collaborates with development, DevOps, product, and leadership teams, mentors engineers, manages risks, and drives continuous improvements in automation coverage, testing efficiency, and release quality.

Designs, develops, and operates enterprise-grade platforms for AI agents and Generative AI applications. Responsibilities include agent orchestration, LLM and AI service integration, secure tool and API invocation, prompt lifecycle management, governance and safety controls, observability, model evaluation, deployment, troubleshooting, and platform optimization. The role collaborates with engineering, security, product, and data teams to deliver scalable, reliable, and compliant AI solutions.

Systems Analyst will gather and document requirements, analyze current and future processes, translate business needs into technical specifications, and support API integration solutions. The role collaborates with stakeholders, developers, and quality teams on solution design, testing, UAT, deployment, change management, and performance improvements. Success involves reliable integrations, faster implementations, reduced costs, and effective business-technology coordination.

Develop and maintain automated testing frameworks and suites for UI, API, integration, database, functional, regression, and end-to-end testing. Create test strategies, plans, cases, and scenarios; validate system controls and compliance requirements; manage defects; analyze quality metrics; and support release and production validation. Collaborate with product, business analysis, development, and DevOps teams throughout the software development lifecycle.

Develop responsive, accessible, and performant full-stack user interfaces using React or Vue.js, JavaScript or TypeScript, and Java backends. Responsibilities include component architecture, state management, REST API integration, CSS implementation, frontend tooling, UI testing, browser performance optimization, and CI/CD deployment processes. The developer will collaborate with backend teams and work within an Agile environment.

Designs and leads large-scale software architecture across cloud, DevOps, mobile infrastructure, integration platforms, and enterprise automation. The role owns technical specifications, design reviews, codebase and roadmap modernization, system scalability, security, observability, release automation, and AI-assisted engineering adoption. It influences product strategy, investment decisions, technical direction, and measurable business outcomes while leading distributed engineering initiatives across technology domains.

Design, build, and maintain scalable batch and streaming data pipelines using Python, SQL, Kafka, and GCP. Develop REST and GraphQL data services, CI/CD automation, observability, and data-quality frameworks. Integrate ML and NLP models into production workflows, including continuous retraining and real-time inference. Support structured and unstructured healthcare datasets, distributed systems, microservices, and reliable data infrastructure while collaborating with data science and MLOps teams.

Develop and maintain scalable Java and Spring Boot backend applications, microservices, and RESTful APIs. Responsibilities include database integration, code reviews, performance optimization, production troubleshooting, testing, CI/CD, cloud deployment, and collaboration with product, QA, and DevOps teams.