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

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.

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.

Serve as a senior Scrum Master and agile coach, embedding Scrum values, improving squad maturity, enabling self-organization, removing systemic impediments, and driving continuous improvement. Partner with Product Owners on backlog readiness and value delivery, coach teams and leaders, support predictable outcomes, foster psychological safety, collaborate with other Scrum Masters, and contribute to agile scaling initiatives.

Develops and maintains full-stack software applications. The posting provides compensation, benefits, contractor availability, and application timing information but does not specify particular technical responsibilities, technologies, or qualifications.

Owns the roadmap and lifecycle of supply chain data products, from discovery and prioritization through launch, adoption, and outcome measurement. Defines data concepts, KPIs, business rules, quality standards, and operational requirements while partnering with engineering, analytics, architecture, and supply chain stakeholders. Uses Databricks and lakehouse concepts to support analytical and operational workflows involving inventory, replenishment, logistics, fulfillment, transportation, and exception management. Requires occasional travel to operational facilities.

Leads creative deliverables for assigned workstreams, overseeing and producing visual designs, branding, layouts, graphics, style guides, and creative briefs. Contributes to information architecture, taxonomy, and content structures while directing project delivery and offshore resources. Requires extensive enterprise digital design experience across web and mobile, strong UI and visual design expertise, UX knowledge, technical communication skills, and advanced understanding of design systems and design tokenization.

Leads web analytics strategy, GA4 and GTM implementations, tagging specifications, dashboards, reporting, experimentation, and data-quality monitoring. Analyzes user behavior, conversion funnels, feature adoption, and A/B test results to provide actionable recommendations for product and business decisions. Partners with product, engineering, UX, and business stakeholders and communicates analytical findings to technical and non-technical audiences.

Analyze business processes, data quality, and datasets to identify AI and automation opportunities. Translate business requirements into AI/ML use cases, collaborate on model development, evaluate model performance, and deliver dashboards and reports. The role also supports data validation, AI solution monitoring, emerging technology research, governance, compliance, responsible AI, prompt engineering, and generative AI initiatives while partnering with business, data science, engineering, and product teams.