Top Senior Software Engineer Jobs in San Francisco Bay Area, CA

Join as a founding software engineer to build core product and infrastructure, collaborate with the founding team, and help shape technical direction. Role is in-person in San Francisco; compensation includes competitive salary and equity. Submit resume to the provided email.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build full-stack safeguards and oversight systems for AI models, including abuse-review dashboards, case queues, evidence viewers, agent supervision interfaces, and visualization tools. Own frontend architecture for sensitive, data-intensive applications with real-time updates, strong performance, and end-to-end access controls. Collaborate with research and operational teams to detect misuse, monitor model behavior, and support safety interventions.

Design, build, and scale Data Marketplace capabilities across APIs, backend services, user-facing workflows, and partner integrations. Lead technical initiatives from design through production, improve reliability and observability, collaborate cross-functionally, and mentor engineers. Contribute to scalable distributed systems, data-intensive applications, and AI-enabled marketplace experiences.

Lead the architecture and development of LiveRamp’s petabyte-scale backend activation platform. Build distributed data pipelines using Spark, Dataproc, SingleStore, Kubernetes, streaming systems, and workflow engines. Drive multi-tenant scheduling, performance, cost optimization, reliability, observability, and production excellence. Define technical strategy, lead complex initiatives, mentor engineers, collaborate cross-functionally, and adopt AI-enhanced development and operations practices.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product and design teams, mentor engineers, drive project timelines, and deliver clean, tested software. Build and scale APIs and data-intensive applications using backend and frontend technologies, PostgreSQL, and Redis while engaging with enterprise customers and internal stakeholders.

Own the technical direction and delivery of Benchling’s internal tools and automation portfolio. Build production systems, SaaS integrations, workflow orchestration, CI/CD, and secure enterprise infrastructure. Partner with internal teams to identify automation opportunities, graduate prototypes into reliable systems, support production operations, enable non-engineering builders, and establish engineering standards. The role also includes technical hiring, mentoring, architecture, threat modeling, and selective application of LLMs and agentic workflows.

Build and extend Braze’s Core Objects systems, including high-scale data ingestion pipelines and complex backend services. Improve system performance and cost efficiency while developing new data capabilities and product features. The role involves full-stack development, technical leadership, collaboration in an agile environment, and use of AI-assisted tools to navigate and enhance a large Ruby monolith.

Lead architecture and development of high-scale segmentation systems, data pipelines, APIs, and dashboard experiences. Own backend systems end to end, improve performance and reliability, influence product direction, mentor engineers, and drive operational excellence. Work with massive data volumes and complex real-time workloads while collaborating across engineering, product, and stakeholder teams.

Build and maintain scalable, reliable full-stack product features for AI-powered CRM experiences. Own projects end to end, develop observability and performance metrics, lead technical design discussions, mentor engineers, conduct code reviews, establish engineering standards, and collaborate with product leaders to translate customer problems into technical solutions. Contribute to recruiting and building a high-performing engineering team.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Build and own infrastructure platforms, tooling, APIs, SDKs, and customer-facing applications that support large-scale humanoid robot deployments. Lead projects from design through rollout, shape architecture across teams, operate reliable backend systems, and improve testing, documentation, and engineering practices. Partner with research, robotics, and deployment teams while advancing AI-assisted development tooling.

Build and own backend services and APIs supporting money movement, payments, settlements, reconciliation, payroll integrations, retirement workflows, and financial compliance. Ship reliable production code, debug incidents, improve observability and operational tooling, and collaborate with product, compliance, operations, and engineering teams. Mentor engineers and ensure systems handling customer funds are correct, scalable, and well tested.

Lead full‑stack delivery for Front's core inbox and adjacent surfaces across Web, Desktop (Electron), and Mobile. Drive architecture, API and performance decisions, partner with Product and Design, improve testing and observability, mentor engineers, and ship high‑quality, user‑focused experiences for complex B2B workflows.

Develop and deploy customer-focused web, mobile, and backend applications across the full software stack. Design major features, contribute to architecture decisions, conduct code reviews, and ensure secure, high-quality implementations. Collaborate with stakeholders and cross-functional teams using Agile and SDLC practices. Manage version control, CI/CD, environments, and releases; maintain automated test coverage and perform root-cause analysis. Build and optimize relational data solutions using SQL Server, including complex queries, stored procedures, and performance tuning.

Build and operate Numeral’s public API, MCP server, billing and ERP integrations, infrastructure, data pipelines, and platform services. Own projects from design through production, improve observability and reliability, automate deployment workflows, and contribute to architecture decisions. The role requires strong backend engineering, distributed systems knowledge, cloud and container experience, and a customer-focused approach to dependable financial automation.

Build AI-powered systems for analyzing and generating iOS code, reliable backend services, scalable code-processing infrastructure, and an Xcode plugin. The role involves making architectural decisions, solving complex technical problems, and developing core features alongside the founding team. Candidates should have strong algorithms and data structures knowledge, backend or developer-tool experience, and a background in low-level systems or infrastructure. Xcode, iOS development, code analysis, and large-scale AI experience are preferred.

Build and operate Numeral’s platform services, public API, MCP server, ERP and billing integrations, infrastructure, data pipelines, and developer interfaces. Own projects from technical design through production, improve observability and reliability, automate deployment workflows, and support scalable background jobs and APIs. Collaborate with product and engineering teams while applying distributed-systems principles and maintaining accurate, dependable financial-data workflows.

Lead the Admin Console engineering team and own architecture and execution for enterprise administration workflows, including authentication, data sources, permissions, governance, deployment management, and AI configuration. Partner with product, design, infrastructure, backend, connector, and security teams to improve usability, self-service activation, deployment visibility, and scalable enterprise control-plane capabilities. Mentor engineers and guide technical direction, roadmap, and execution.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Own and develop Gusto’s PeopleOS internal HR platform, integrations, and AI-powered tooling. Build full-stack software, REST API integrations, MCP servers, and Claude-based workflows across Workday, Greenhouse, Slack, Google Workspace, and other systems. Partner with People Operations stakeholders on design, implementation, testing, documentation, releases, troubleshooting, and user feedback. Handle sensitive HR data while delivering reliable employee-facing tools.

Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

Lead technical vision and architecture for Card Tech while remaining hands-on as a player-coach. Design scalable, secure systems; modernize monoliths into microservices and event-driven platforms; establish API and engineering standards; mentor engineers; evaluate AI-generated code; and drive cross-divisional technical initiatives. The role requires expertise in cloud computing, data architecture, distributed systems, enterprise architecture, software development, and strategic use of agentic AI tools.