Top Staff Software Engineer Jobs in San Francisco, CA

Lead technical execution, architecture, roadmap, and delivery for the Loyalty product. Manage and grow engineering teams, drive design and operational excellence, ensure reliability/observability, coordinate cross-team integrations, and deliver scalable multi-tenant SaaS features integrated with Zeta’s platform and AI capabilities.

Design and build Genius AI’s software factory, including CI platforms, deployment tooling, infrastructure-as-code guardrails, observability, alerting, SLOs, and incident-response systems. Lead infrastructure platform direction, enable safe self-service for engineers and AI agents, improve deployment velocity and reliability, review complex technical changes, and mentor engineers. The role requires hands-on expertise with AWS, Kubernetes, Terraform, GitOps, CI/CD at scale, progressive delivery, and internal developer tooling.

Lead the design, development, and operation of integrations and API products. Establish standards for API contracts, authentication, authorization, versioning, reliability, observability, documentation, and developer experience. Drive cross-team system architecture, production readiness, scalability, security, and resilience while mentoring engineers and aligning technical decisions with product and business goals.

Leads security engineering architecture and strategy, including IAM, SSO, authentication, authorization, observability, and distributed event-based systems. Drives build-versus-buy decisions, improves security microservices and tooling, establishes engineering standards, and secures agentic AI infrastructure. Collaborates cross-functionally on priorities and tradeoffs while mentoring engineers, documenting practices, evaluating technologies, and advancing security across a cloud-based microservice architecture.

Staff Software Engineer responsible for designing and developing backend services, APIs, and data models powering healthcare scheduling and availability systems. The role leads architecture for complex, scalable scheduling logic, drives cross-team technical initiatives, ensures operational excellence, collaborates with product and design teams, mentors engineers, and contributes to engineering quality. Primary technologies include C#/.NET and AWS, with opportunities to work across the stack using React and TypeScript.

Leads development of resilient, scalable features across Toast’s enterprise Sports and Entertainment platform, including backend, frontend, and POS systems. Responsibilities include designing, deploying, testing, monitoring, and maintaining production services; leading complex technical projects; collaborating with Product, Design, Customer Success, Sales, and other teams; mentoring engineers; and using AI tools to improve development productivity.

Lead the architecture and implementation of AI-assisted developer tooling, local development workflows, build and test systems, CI/CD platforms, and deployment processes. Mentor software engineers, establish engineering best practices and governance, configure AI agents and MCP servers, improve development tools and languages, and communicate technical guidance to stakeholders.

Build, deploy, and operate production AI agents for marketing workflows. Responsibilities include integrating CMS, DAM, CRM, advertising, and analytics systems; designing reusable LLM skills and multi-agent orchestration; implementing reliability, evaluation, observability, grounding, brand-safety, and cost controls; and translating marketing needs into platform requirements. The role embeds with marketing experts, leads agent engineering practices, communicates technical tradeoffs, and advances production-grade agent architecture.

Build and architect Clear Street Active, a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional teams on large-scale initiatives while emphasizing scalability, performance, API quality, maintainability, and developer experience.

Designs and owns low-latency backend systems for real-time products. The role drives performance, reliability, event-driven architecture, parallel processing, and fault-tolerant distributed systems on container orchestration platforms. It covers the full software lifecycle from design through production operations, collaboration across infrastructure and reliability, and contributions to machine learning systems and AI-enabled features.

Lead technically complex card-acquiring payment projects from design through production. Build and operate highly reliable payment systems, integrations, testing and certification tooling, and shared engineering frameworks. Analyze ISO messages, network mandates, routing, authorization, clearing, settlement, and processing costs. Provide technical direction, mentor engineers, participate in on-call operations, and establish safe AI-assisted engineering practices for critical financial systems.

Leads software architecture, design, coding, debugging, performance improvement, and maintenance across complex web systems. Provides technical direction for multiple teams and initiatives, owns major product components, resolves open-ended technical problems, mentors engineers, evaluates technologies, and supports testing and requirements development. Requires deep Java development expertise with RESTful APIs, Spring Boot, and microservices, plus strong leadership, communication, and problem-solving skills.

Lead the technical vision and strategy for GPU execution across Zoox’s onboard AI platform. Own how perception, prediction, and planning workloads are scheduled, shared, isolated, and optimized across vehicle GPUs under fixed power, thermal, cost, safety, and real-time constraints. Partner with ML, autonomy, middleware, hardware, and infrastructure teams to improve onboard compute efficiency across future vehicle generations.

Set technical direction for Hike Medical’s platform spanning clinical software, AI agents, and manufacturing. Design core architecture connecting systems, lead complex initiatives involving integrations and healthcare data infrastructure, establish reliability, security, and compliance standards, write production code, mentor engineers, and collaborate with product and design. The role requires deep backend, distributed systems, and data modeling expertise in a fast-paced, fully in-person environment.

Lead the architecture, development, and deployment of Collision Avoidance System perception algorithms for autonomous vehicles. Design safety-critical C++ systems combining lidar, radar, camera, classical geometry, tracking, sensor fusion, and machine learning under strict latency and compute constraints. Own the technical roadmap, collaborate across autonomy and safety teams, define evaluation metrics, and mentor engineers while ensuring reliable production deployment.

Design and build AI-powered cybersecurity platforms that ingest and normalize massive security telemetry, correlate events, predict threats, and generate explainable findings. Develop Python backend services, distributed storage systems, and AIDevOps pipelines for rapid experimentation. Integrate foundation models, agentic systems, RAG, embeddings, and graph-based models into analyst workflows. Collaborate with product teams, security experts, and engineers to deliver scalable, trusted threat detection and automation capabilities.

Build and operate AWS cloud infrastructure using Terraform/OpenTofu and Spacelift. Lead multi-account architecture migrations, develop reusable infrastructure modules, improve reliability and disaster recovery, support compliance, troubleshoot cloud environments, and automate recurring issues. Partner with engineering teams, strengthen observability and incident response, and participate in an internal infrastructure support on-call rotation. The role also drives multi-quarter platform initiatives with significant autonomy.

Build and own full‑stack applications for clinicians and researchers: real‑time oversight interfaces, schema-to-API-to-UI features, no-code agent behavior tools, and natural‑language exploration of healthcare data. Ensure high correctness, reliability, and performance for systems handling sensitive patient data while collaborating with designers, clinicians, and customers.

Design, build, and own high-throughput backend and infrastructure services for a healthcare AI agent platform. Ensure reliability, graceful degradation, observability, performance, and secure handling of sensitive patient data. Drive architecture and operate services end-to-end in production.

Own the end-to-end PEO onboarding experience, from discovery through setup. Set technical direction, design durable full-stack solutions, integrate systems across teams, and improve conversion through funnel instrumentation and experimentation. Build in a regulated domain with strong quality, testing, and observability standards. Use AI tools in engineering workflows and develop AI-assisted customer guidance. Influence cross-functional partners and raise engineering standards across the team.

Lead the technical vision, architecture, and evolution of Uber’s large-scale streaming data platform. Design resilient distributed systems, optimize performance and resource utilization, improve reliability and developer experience, and drive modernization across teams. Provide technical leadership for complex initiatives, establish engineering standards, mentor senior engineers, and shape long-term infrastructure strategy for high-throughput, low-latency, multi-tenant workloads.

Lead backend engineering for real-time defenses against bots, abuse, and fraud. Design rate limiters, challenge flows, rules engines, enforcement APIs, telemetry, and monitoring across edge and product services. Protect signup, login, payments, and song generation from account farming, credential stuffing, card testing, and credit abuse. Shape the team’s architecture, roadmap, on-call practices, and engineering standards.

Lead full-stack engineering projects across Harvey’s AI-powered legal products. Build scalable document ingestion, data collection, secure systems, AI-native features, agentic orchestration, retrieval systems, and integrations across web, desktop, mobile, Google Docs, MS Word, and APIs. Develop intuitive frontend experiences with React and TypeScript and robust backend services with Python and PostgreSQL, supporting streaming results, long-running processes, and complex tool-calling workflows.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Build and own backend services and APIs supporting retirement money movement, payments, settlements, reconciliation, compliance integrations, payroll, and financial workflows. The role involves shipping reliable production code, debugging incidents, improving observability, partnering with product, compliance, and operations, and mentoring engineers. Candidates should have extensive software engineering experience, financial systems expertise, end-to-end ownership, and Ruby on Rails or comparable backend framework experience.