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

Leads architecture and hands-on development of WEX’s semantic data platform and Data-as-a-Service capabilities. Builds reusable semantic business objects, metadata and ontology frameworks, knowledge graphs, APIs, governance, lineage, quality, and data contracts. Solves distributed-systems and scalability challenges while enabling AI and agentic applications to use trusted enterprise data. Partners across engineering, product, analytics, risk, finance, and business teams; influences technical standards, drives adoption, mentors engineers, and remains involved in implementation.

Build and operate a new full-stack payment and expense management platform from architecture through production. Develop backend services, APIs, data models, web and mobile capabilities, and partner integrations. Establish secure engineering, testing, observability, and production-readiness practices. Collaborate with product, design, security, and distributed engineering teams; review code, resolve complex issues, manage technical risks, mentor engineers, and own technical outcomes through continuous improvement.

Own the technical direction and delivery of WEX’s data acquisition platform. Build reusable, high-performance batch, CDC, and streaming ingestion services with schema validation, reconciliation, recovery, lineage, security, observability, and auditability. Lead architecture and code reviews, establish testing and CI/CD practices, mentor engineers, resolve cross-team dependencies, and support production escalations. The role requires hands-on development of scalable distributed systems and configuration-driven connectors.

The Staff Software Development Engineer will design and develop web applications, lead automation testing strategies, and collaborate on user experiences, utilizing strong front-end skills and full-stack exposure.

Design and own AI-powered services, multi-agent workflows, cloud infrastructure, integrations, and CI/CD pipelines. Lead architecture, reliability, security, incident response, and root-cause resolution. Partner with product managers on non-functional requirements and technical prioritization. Mentor engineers, conduct code reviews, facilitate design decisions, and promote internal adoption of AI tools and agentic technologies.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Develop and maintain reliable platforms through automation, observability, incident response, performance optimization, and infrastructure improvements. The role collaborates with engineering teams, supports 24x7 reliability rotations, troubleshoots complex issues across code and infrastructure, and improves operational processes. Required experience includes SRE or equivalent work, software development, cloud platforms, monitoring, databases, and containerization. Preferred skills include Terraform, REST APIs, Grafana, Splunk, Agile, and GitOps.

Lead modernization of complex SQL Server stored procedures and design AI-native data infrastructure. Responsibilities include domain-driven data architecture, event-driven patterns, vector databases, embedding pipelines, semantic models, knowledge graphs, RAG evaluation, multi-platform data solutions, governance, and AI-assisted database tooling. The role partners across engineering and AI/ML teams, establishes reference architectures, mentors engineers, and contributes to enterprise data standards.

Designs, develops, and supports scalable backend services, REST and gRPC APIs, automated testing, monitoring, and continuous delivery. Leads system architecture and technical initiatives, performs code reviews, mentors engineers, troubleshoots production issues, and documents designs and operational procedures. The role also supports major customer implementations and integrations on the IBM iSeries platform while collaborating with product, engineering, and customer stakeholders.