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

Design, deploy, and optimize Philo’s distributed video streaming infrastructure, including ingest, transcoding, packaging, delivery, RESTful services, analytics pipelines, DRM, and ad insertion. Improve platform reliability, performance, latency, security, video quality, and cost efficiency. Collaborate with content partners and internal video, advertising, client, and data teams while supporting streaming quality across new platforms. The role also involves architectural ownership, cloud operations, and mentoring.

Own the architecture and technical direction of Netic’s go-to-market systems, integrating Salesforce, billing, finance, product data, and the warehouse. Build automated sales operations workflows, internal tools, and AI agents; ensure GTM data reliability, observability, testing, and deployment standards. Partner with Sales Ops, Deal Desk, and data teams, while helping hire and mentor future engineers.

Own and build the customer-facing frontend: verification flows, investigative features, and reporting surfaces. Push frontend performance in React, optimize rendering, work with RSC/Suspense, use AI coding tools, and ship product-quality UX details with high ownership.

Develop and architect scalable iOS applications serving millions of users. Collaborate with Product, Design, and Engineering to deliver features, promote clean architecture and iOS best practices, monitor performance and crash analytics, and guide technical excellence. Requires strong Swift, SwiftUI, MVVM, API integration, persistence, testing, and code quality expertise.

Own backend-leaning product features from concept through release for a software platform. Build Python APIs, storage layers, and data-processing workflows, while contributing to frontend development. Design scalable REST APIs, support production services, and implement logging, alerting, and automated testing. Collaborate with design, research, deployment, product, and engineering teams in a small, cross-functional environment.

Integrate, deploy, and validate autonomy software across simulations, hardware-in-the-loop environments, and flight platforms. Configure sensors, interfaces, middleware, and platform adapters; develop integration tooling, deployment scripts, and CI/CD workflows; diagnose defects using logs, telemetry, and rosbag data; validate system requirements and interface contracts; and collaborate with engineering, product, DevOps, and customers to ensure reliable autonomous systems.

Lead the design, development, and rollout of large-scale integrations for BrazeAI Decisioning Studio. Build resilient data ingestion and event-driven activation pipelines across enterprise systems, supporting arbitrary schemas, multi-region deployment, compliance, and high-volume customer data. Own production systems, observability, incident response, and reliability. Partner with data scientists, ML engineers, and product managers, while mentoring engineers and setting technical direction.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Develop safety-critical motion planning software for autonomous delivery drones. Build real-time trajectory generation and decision-making systems using search, sampling, optimization, and model predictive control. Address uncertain environments, vehicle constraints, obstacle avoidance, and human interaction. Extend autonomy systems across aircraft and payloads, validate through simulation and hardware-in-the-loop testing, and use fleet data to improve safety, reliability, and failure handling.

Lead backend engineering for AI platform components, designing scalable services for enterprise and on-premises deployments. Own systems from architecture through production release, guide and develop engineers, manage priorities, and support customer rollouts. The role requires Python and TypeScript expertise, container orchestration and packaging experience, end-to-end product delivery, people leadership, and a computer science or related STEM degree.

Build and own user-facing products across AI, developer platform, mobile web, and SDK offerings. Lead features from ambiguous objectives through interface design, backend architecture, data modeling, API development, release, and iteration. Develop SaaS capabilities including billing, analytics, experimentation, localization, and notifications. Collaborate with leadership and users while using AI-assisted coding tools to move quickly in a small team.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Own and improve the software platform for autonomous underwater robots: deploy and update fleet software, build remote monitoring and high-bandwidth comms, expand simulation and testing, create operator/customer tooling, and execute field testing with international travel.

Designs, builds, and operates scalable internal applications, backend services, APIs, integrations, and automated employee workflows. Owns solutions from architecture through deployment and support while improving reliability, observability, performance, and maintainability. Collaborates across engineering, product, design, security, and People Technology teams; provides technical leadership through architecture reviews, code reviews, mentoring, and roadmap contributions. The role also explores AI-powered capabilities to improve employee workflows and engineering productivity.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Develops workflow applications, automation, scripts, services, integrations, and testing solutions that replace manual processes with traceable enterprise workflows. Responsibilities include process analysis, evidence collection automation, task routing, approvals, policy enforcement, API and data integrations, documentation, code reviews, demonstrations, defect correction, and continuous improvement. The role is remote, contingent on contract award, and supports a federal customer.

Lead the architecture, integration, and adoption of Taskrabbit’s experimentation and feature-flagging platform. Build high-performance TypeScript APIs and foundational services, integrate with Ruby on Rails systems, and improve platform reliability, scalability, and developer experience. Mentor engineers, establish experimentation strategy with product and engineering leaders, and advise senior leadership on architecture and platform initiatives.

Lead the architecture and adoption of shared platform capabilities, including authentication, identity, event-driven systems, and API infrastructure. Build TypeScript APIs and foundational services, integrate with Ruby on Rails systems, improve performance, reliability, security, and developer experience, and guide technical strategy. Mentor engineers and partner with product and engineering leadership to deliver scalable platform initiatives.

Develop, test, maintain, and support secure, scalable full-stack .NET applications in an Agile/Scrum environment. Responsibilities include API and database development, technical documentation, code and design reviews, SDLC compliance, security and audit adherence, collaboration with architects and business partners, mentoring junior engineers, leading project delivery, and participating in on-call support and occasional travel.

Build automated mortgage-brokering software using full-stack systems, AI voice agents, browser agents, automated underwriting, and rate-quote experiences. The role involves rapidly learning mortgage operations, developing robust solutions, potentially owning product areas, contributing to recruiting and culture, and possibly progressing into engineering leadership or people management.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Lead frontend-focused full-stack development for a neurotechnology platform controlling brain stimulators, managing patient data, visualizing real-time 3D data, integrating APIs, syncing cloud systems, and improving user experience. The role involves React and React Native frontend work, Python or Node.js backend development, team growth and mentorship, and collaboration on secure, scalable healthcare applications.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.