Top Engineer Jobs in San Francisco Bay Area, CA

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

Lead full-stack development of the signup-to-activation experience, inventing and shipping 0-to-1 AI-driven onboarding features across web, messaging channels, and third-party AI assistants. Collaborate with product, design, and data, mentor engineers, scope rapidly, and measure/iterate to improve activation metrics.

The Quality Engineer role involves automating testing, developing test scripts, maintaining test cases, and collaborating with teams in an agile environment.

Lead design and delivery of large backend systems and distributed services. Define SLOs/SLIs, own reliability and correctness, perform code reviews, mentor junior engineers, and collaborate across teams to build scalable, well-tested microservices and a self-hosted database.

Design, build, and operate backend Java/Kotlin services that ingest, persist, and retrieve high-volume telemetry and alert data. Collaborate with product and frontend teams to deliver APIs, improve architecture, reduce technical debt, and deploy reliable, well-tested code frequently. Contribute to system reliability, performance at scale, and customer-facing alerting features within an agile team.

As a Forward Deployed Engineer, you'll redesign work processes using AI, prototype workflows, and engage both technical and non-technical stakeholders to drive efficiency and impact.

The Senior Staff Software Engineer will lead the architecture and implementation of AI-powered developer tools and workflows in a cloud environment. Responsibilities include mentoring, driving innovation, managing project delivery, and fostering a culture of continuous improvement.

As a Senior Rendering Engineer, you will modify shaders, develop new rendering technologies, integrate third-party solutions, and optimize performance to enhance the gaming experience.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

The Senior Hardware Reliability Engineer ensures product reliability through planning, testing, and collaboration across engineering and operations. Responsibilities include leading investigations, analyzing failure data, and designing reliability strategies throughout the product lifecycle.

Lead full‑stack engineering work on tax experiences: design, build, test, and operate scalable systems for tax collection, payment, and filing. Drive technical strategy, mentor engineers, collaborate cross-functionally, prioritize long-term architecture, and apply AI tools to improve developer productivity and customer workflows.

Design, build, and harden asynchronous infrastructure and developer tooling to improve engineer productivity. Work on background jobs and async communication using Sidekiq, Kafka, and Karafka, collaborate with product engineers, and apply AI/LLMs for large-scale code migrations and faster incident resolution.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Lead technical direction for Adyen's financial products; design scalable systems, mentor engineers, and drive innovation in financial technology solutions.

The Senior Site Reliability Engineer will enhance reliability of Block's platform, improve incident response using AI tools, and coordinate incident management. Responsibilities include building reliable systems, standardizing tools, and leading high-severity incidents during on-call rotations.

The Data Engineer III will design, implement, and optimize data services, ensuring they meet business needs and drive automation and best practices across Crunchyroll's data environments.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

As a Senior Quality Engineer, you will lead verification and validation of medical device systems, conduct risk assessments, and ensure regulatory compliance, particularly in relation to FDA and quality control standards while collaborating with cross-functional teams.

As a Software Engineer at Deepgram for Restaurants, you'll design and maintain scalable backend systems for automated ordering, integrating AI models, optimizing performance, and ensuring smooth interactions with restaurant software.

Lead a team and portfolio of technology projects to deliver cloud-based, distributed microservices solutions. Mentor engineers, collaborate with product managers, occasionally code and evaluate code, and use cloud, container orchestration, databases, and modern languages to meet regulatory and customer needs.

As a new grad engineer at Notion, you'll develop product features, improve performance, and create internal tools to enhance productivity, working collaboratively with cross-functional teams.

Design and implement APIs and core services, build impactful features, mentor engineers, and enhance application quality for a mission-critical system.

Join Notion as an early-career software engineer to plan, build, and ship product features, improve performance and reliability, run experiments to drive engagement, and contribute to internal tools and platform improvements while collaborating with design, product, and data teams.

Senior software engineer responsible for architecting and delivering full-stack solutions for scientific workflows (studies, workflows, procedures) used in regulated GLP/GMP environments. Lead multi-quarter initiatives, influence engineering direction, mentor engineers, partner with product and design, and explore AI/LLM opportunities to accelerate lab operations. Own end-to-end delivery and help scale hiring, tooling, and processes.