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

Develop and maintain scalable full-stack applications, REST APIs, microservices, and responsive user interfaces. Integrate internal and third-party systems for real-time data synchronization, optimize application performance, implement security controls, and troubleshoot production issues. Collaborate with analysts, quality engineers, program managers, and data science teams to deliver enterprise applications. Support code reviews, CI/CD, deployments, monitoring, and ongoing maintenance.

Define and lead enterprise-wide AI/ML architecture strategy, standards, governance, reference architectures, and adoption roadmaps. Design scalable architectures for generative AI, LLM applications, RAG, AI agents, MLOps, data platforms, cloud infrastructure, security, and enterprise applications. Lead technology evaluations, architecture reviews, modernization strategies, responsible AI controls, vendor decisions, and transformation programs while advising executives and technical teams.

Leads large-scale, cross-functional programs from planning through delivery, defining scope, budgets, timelines, metrics, and governance. Manages interconnected projects, risks, resources, vendors, stakeholders, and executive communications. Drives change management, process improvement, issue resolution, and successful adoption of program outcomes while mentoring project managers. Requires 8–12+ years of project or program management experience, including enterprise-scale programs, and familiarity with Agile, Waterfall, or hybrid delivery methods.

Lead a large-scale API platform implementation over a 15-month timeline. Responsibilities include program planning, governance, stakeholder coordination, resource and budget management, risk and dependency resolution, vendor oversight, KPI tracking, executive reporting, and transition to support teams. The role coordinates engineering, business, QA, and operations teams while managing Agile, Scrum, and Waterfall delivery methodologies and change-management communications.

Designs and leads enterprise data architecture, including warehouses, lakes, lakehouses, data models, integration pipelines, governance, security, and analytics platforms. Partners with engineering, analytics, application, and business teams to create scalable cloud data ecosystems. Responsibilities include technology evaluation, migration and modernization strategy, architecture reviews, documentation, data quality, lineage, metadata, and technical mentorship.

Defines and governs end-to-end enterprise technology solutions aligned with business objectives and architecture standards. Designs cloud, hybrid, distributed, microservices, API, integration, data, security, and AI-enabled architectures across AWS, Azure, and GCP. Leads modernization strategies, technology evaluations, architecture roadmaps, risk mitigation, governance, and technical design reviews. Collaborates with business stakeholders, engineering teams, vendors, and architecture specialists while supporting delivery, pre-sales, proposals, and client presentations.

Build scalable backend-heavy services and applications using C# and .NET, while contributing to Angular and TypeScript UI development. Design and develop REST APIs and microservices, work with relational databases, implement automated testing and CI/CD, and ensure system security, scalability, and performance. Preferred work includes event-driven architectures, messaging systems, NoSQL databases, caching, search technologies, and mentoring engineers or leading technical initiatives.

Lead backend architecture for large-scale cloud-native e-commerce, loyalty, identity, payment, and customer engagement platforms. Define scalable APIs, event-driven systems, microservices, integrations, data architectures, AWS infrastructure, observability, security, and resiliency standards. Guide modernization, governance, technical roadmaps, architecture reviews, and cross-functional delivery while mentoring engineering teams and aligning platforms with QSR digital ordering and omnichannel customer experiences.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Leads the design, development, and delivery of scalable web applications using React.js and Node.js. Defines architecture, develops REST APIs and microservices, mentors engineers, conducts code reviews, troubleshoots production issues, and ensures application performance, security, scalability, and reliability. Collaborates with Product, QA, DevOps, and Architecture teams while supporting testing, CI/CD, sprint planning, estimation, and technical improvements.