Top Front End Developer Jobs in San Francisco Bay Area TEST

Lead the Prism engineering team, an internal AI productivity platform. Manage and develop software engineers, define and execute the AI platform roadmap, oversee AI infrastructure such as model-routing and evaluation tools, and partner with internal developer customers to drive adoption. The role requires people management, AI developer-tooling expertise, platform engineering experience, and the ability to deliver rapidly in an ambiguous, greenfield environment.

Architect and modernize highly available card-account and transaction platforms, migrating monoliths to microservices and event-driven systems. Define technical vision, architecture, API standards, and engineering best practices while ensuring scalability, security, performance, and operability. Provide hands-on technical leadership, mentor engineers, lead cross-domain initiatives, conduct architectural reviews, and collaborate with engineering, product, and architecture leaders.

Build technical foundations, lead engineering and product vision, and deliver end-to-end growth experiments. Use data, customer research, and product intuition to identify opportunities that improve activation and engagement. Develop polished React interfaces, AI and coding-agent systems, and scalable experimentation practices while mentoring engineers and collaborating cross-functionally.

Build and scale full-stack membership features across backend services and mobile front-end experiences. Design APIs and UI components, improve reliability and performance, collaborate with product, design, and data science teams, run experiments, measure member impact, and contribute through mentorship, code reviews, and engineering best practices.

Own SoFi’s company-wide cloud networking strategy, architecture, automation, and operational excellence. Design resilient AWS multi-region, multi-account, and Kubernetes networking; lead progressive traffic delivery, observability, and incident response; and guide AI-enabled infrastructure automation with appropriate guardrails. Partner with Security, Compliance, Risk, SRE, architecture, and business leaders, influence technical direction and investment decisions, and mentor senior engineering talent.

Lead the design, development, deployment, and operation of Azure regional networking infrastructure spanning router hardware, SONiC, optical systems, and distributed orchestration. Develop maintainable code, improve reliability and observability, apply AI-driven engineering, coordinate cross-functional projects, and provide technical leadership across engineering, hardware, supply chain, datacenter operations, research, and external partners.

Design and build high-performance networking infrastructure for distributed AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize systems for scalability and reliability, debug complex networking issues, and support petabyte-scale data transfer. Lead technical design, mentor engineers, improve observability and operational reliability, and participate in on-call support for large-scale AI infrastructure.

Architect and deliver a fleet-scale observability platform for AI supercomputers. Lead telemetry ingestion, processing, storage, querying, topology modeling, and health visualization across GPUs, hosts, networks, storage, and facilities. Establish signal standards, integrate first-party and third-party capacity data, and enable AI-assisted anomaly detection and root-cause analysis. Partner across engineering, operations, customers, and datacenter technicians to create secure workflows, validate repairs, improve reliability, and reduce diagnosis and recovery times.

Own the technical strategy and outcomes for Gusto’s expansion funnel, including recommendations, nurture journeys, and self-service conversion experiences. Partner with Product, Design, and Data Science to define roadmaps, design experiments, iterate from results, and deliver measurable revenue impact. Lead architecture, technical direction, code quality, mentoring, delegation, refactoring, reliability, and performance initiatives across customer-facing products.

Senior software engineer responsible for owning commercial navigation features from design through production, spanning mobile applications, backend services, and web experiences. The role involves building reliable, customer-facing navigation capabilities for commercial fleets, improving observability and testing, defining success metrics, and collaborating with product, design, Maps, Telematics, and adjacent engineering teams. Candidates should have strong software engineering experience across multiple product surfaces, with mobile development and logistics, industrial IoT, geospatial, or mapping expertise preferred.

Leads software engineering strategy, architecture, execution, and organizational growth for Mastercard’s AI-native decisioning platform. Oversees scalable distributed systems, streaming, AI, and cloud-native technologies; partners with Product, Architecture, AI, and Platform Engineering; drives technical excellence, reliability, security, and business outcomes; and recruits, mentors, and develops high-performing engineering teams.

Build developer-experience tooling and frameworks that streamline development, testing, packaging, and production releases. Lead release tooling designed to move code to production within 10 minutes, implement quality feedback loops, improve engineering workflows through user feedback, and promote effective engineering practices. Collaborate with product managers, designers, and engineers while helping scale Benchling’s tools, processes, and engineering organization.