Top Software Engineer Jobs in San Francisco Bay Area, CA

Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.

Twelve-week software engineering internship building production crypto and blockchain products at Coinbase. Interns write tested code, collaborate with engineering, design, and product teams, participate in code reviews, own an end-to-end project, and learn blockchain concepts. Candidates need programming experience, problem-solving ability, familiarity with web, mobile, backend, or infrastructure development, and responsible generative AI usage with human oversight.

Build and improve full-stack software for engineers operating mission-critical hardware. Responsibilities include developing React and TypeScript/JavaScript interfaces, contributing to backend services and APIs, creating reliable data flows, debugging across systems, writing tested code, and collaborating on greenfield products. The intern will work closely with software engineers and operators while gaining experience across frontend, backend, databases, and hardware-connected systems.

Design, build, deploy, and support scalable Java microservices on AWS. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Work with high-throughput data, messaging systems, distributed architectures, observability, and AI-assisted development tools. Participate in on-call support, mentor engineers, lead architectural initiatives, and deliver reliable SaaS platform features.

Lead the design, development, and implementation of low-latency brokerage systems, mentor engineering teams, and ensure high performance of trading applications.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Build full-stack developer experience tooling for Superhuman Docs, including internal platforms, CI/CD pipelines, deployment tools, build systems, local development environments, testing workflows, golden paths, and documentation. Partner with engineers, business-unit leaders, and the central platform team to define developer productivity roadmaps and metrics. Improve release speed, reliability, and engineering workflows across a hybrid monolith and microservices architecture.

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.

Own end-to-end delivery of greenfield, full-stack product areas for Gusto Solo. Design scalable architectures and data models, build backend APIs and frontend experiences, use AI tools and develop AI-native features including MCP tools, and collaborate with Product, Design, Data Science, and GTM. Help shape product direction, engineering practices, and technical foundations in a high-autonomy environment.

Design, build, test, and scale Gusto’s invoicing and billing platform, including subscriptions, orders, invoice generation, payments, reporting, and accounting integrations. Lead architecture, performance, reliability, and large-scale refactoring for high-throughput distributed systems. Mentor engineers, collaborate across product and business teams, support new billing models, and use AI tools to accelerate development and testing.

Lead technical development for a new entity-management and compliance product. Execute the technical roadmap, design solutions, implement functionality in legacy systems, collaborate with Product, Design, Support, and Marketing, mentor engineers, improve development processes, and participate in code reviews. The role requires technical leadership, greenfield product development experience, strong communication, and the ability to solve complex software engineering challenges.

Build software, automation, observability, and telemetry systems for a large-scale global enterprise network. Define and measure reliability targets, replace manual operational processes with code, improve incident detection and recovery, support a resilient global DMZ, and codify disaster recovery across regions.

Leads technical vision and architecture for Card Tech while remaining hands-on in software development. Modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, ensures scalable and secure implementations, and mentors engineering teams. The role requires expertise in cloud computing, data architecture, distributed systems, enterprise architecture, and AI-native development, along with leadership of cross-divisional initiatives and talent recruitment.

Lead a hands-on engineering team developing Next.js. Write and review production code, own major technical initiatives, make architectural decisions, debug performance and reliability issues, coach engineers, improve execution, collaborate across Product, Design, Infrastructure, and Developer Experience, support open-source contributors, and participate in recruiting. The role focuses primarily on technical leadership and engineering execution while providing focused people leadership.

Principal Software Engineer role at Atlassian with flexible work-location options. The provided description contains no specific responsibilities or qualification requirements. Compensation includes a U.S. base salary range varying by geographic pay zone, plus potential benefits, bonuses, commissions, and equity.

Architects and builds BuildOps’ integration and data platform, including APIs, services, databases, workflows, event-driven systems, observability, and scalable cloud infrastructure. Leads technical decisions across teams, improves reliability and performance, establishes testing and deployment practices, evaluates technologies, mentors engineers, and drives engineering-wide initiatives through cross-functional influence.

Lead company-wide strategy for software quality, production reliability, and safe delivery. Build shared platform capabilities for release safety, observability, validation, testability, and developer self-service. Identify systemic risks, improve resilience and failure recovery, define reliability metrics, lead cross-functional technical programs, influence architecture without direct authority, and mentor engineers and technical leaders.

Architects, develops, and optimizes a full-stack platform using modern frontend and backend technologies. Leads technical decisions, API and database optimization, observability, testing, CI/CD, and cloud infrastructure efforts. Mentors engineers, drives cross-team technical initiatives, evaluates new technologies, and collaborates with product, QA, customers, and business leaders to deliver reliable, scalable software.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Build and operate scalable full-stack software and AI-powered products for physical operations. Own technically complex areas, define technical strategy, develop backend services, APIs, frontend and potentially mobile experiences, and translate customer problems into measurable outcomes. Lead cross-team initiatives, mentor engineers, participate in technical reviews, and raise engineering quality and velocity.

Build and operate data platform infrastructure supporting analytics, machine learning, and AI systems. Responsibilities include developing Lakehouse and Spark systems, improving performance and reliability, implementing data quality, governance, lineage, metadata, security, and access controls, evaluating query and OLAP technologies, enhancing observability and deployment processes, supporting incident response, collaborating with data teams, contributing to open-source projects, and mentoring engineers.

Own the end-to-end PEO onboarding experience, from discovery through setup. Set technical direction, design durable abstractions, build customer-facing full-stack features, integrate across teams, and improve conversion through funnel instrumentation and experimentation. Use AI tools in engineering workflows and create AI-assisted customer guidance. Raise engineering standards through reviews, testing, observability, and sound tradeoffs while mentoring and influencing engineers across teams.

Leads software engineering and architecture for Card Tech, combining hands-on development with technical mentorship. Defines technical vision, modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, and drives scalable, secure, operable solutions. Partners across divisions, mentors senior engineers, evaluates AI-generated code, and leads architectural strategy and engineering excellence initiatives.

Lead technical vision and software architecture for Card Tech while contributing production-ready code. Design scalable, fault-tolerant distributed systems and API platforms, ensure performance and operability, leverage cloud-native and AI-enabled development tools, mentor engineers, recruit talent, and promote engineering excellence across the organization.

Develop and enhance high-performance C++ database and process-mining systems for large-scale enterprise data. Responsibilities include designing query optimization, transaction management, and distributed processing algorithms; resolving performance and scalability bottlenecks; implementing parallel execution and resource management; maintaining production features; reviewing code; mentoring engineers; and documenting technical practices.