Top Hybrid Senior Level Software Engineer Jobs in San Francisco, CA

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.

Develop and ship high-performance iOS applications and camera experiences for Snapchat. Responsibilities include designing and implementing tested Objective-C software, launching features, evaluating technical tradeoffs, collaborating with Design, conducting code reviews, and using AI tools while maintaining strong standards for correctness, security, performance, and scalability.

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.

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.

Design, configure, develop, deploy, and support scalable Salesforce CPQ solutions for product configuration, pricing, discounting, approvals, and quoting. Partner with Sales, Revenue Operations, Finance, and technology teams to translate business requirements into solutions. Troubleshoot issues, maintain performance and data integrity, manage releases, document standards, and support complex catalogs, pricing models, and approval processes.

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.

Leads technical vision and software architecture across Capital One, designing scalable cloud, data, microservice, and event-driven solutions. Drives modernization, defines platform and API standards, ensures technical quality, leads cross-divisional initiatives, and mentors engineers. Requires deep experience in software engineering, enterprise architecture, cloud computing, data architecture, distributed systems, web technologies, databases, networking, and full lifecycle delivery.

Own the architecture and technical direction of Zocdoc’s Provider Engagement Platform. Design data pipelines, real-time practice intelligence systems, APIs, and ML integrations that power personalization and recommendations. Lead complex cross-team initiatives, make infrastructure decisions, ship production code using C#, React, and AWS, and mentor engineers while promoting strong engineering, testing, and observability practices.

Develop and optimize shaders, master materials, and technical art pipelines in Unreal Engine. Establish shader standards, build validation tools, profile performance, resolve content pipeline issues, and create reusable documentation and best practices. Collaborate across art, engineering, design, animation, and lighting teams to solve production challenges and deliver visually rich experiences across console, PC, and mobile platforms.

Lead full-stack engineering for cloud-native, large-scale applications: design and implement frontend (React/TypeScript) and backend (Python) services, author Airflow DAGs, model distributed SQL, deploy and operate on Kubernetes, drive observability with Splunk/Grafana, adopt enterprise AI-assisted development practices, and provide technical leadership across design, delivery, and operational readiness.