Software Engineer Jobs in Oakland, CA

Lead the technical direction and delivery of Bitcoin and stablecoin experiences for iOS across Cash App, Square, and Bitkey. Build and ship complex features end to end, establish architecture and shared systems, integrate backend services, improve testing and release safety, and mentor engineers. Collaborate across product, design, Android, web, and backend teams while applying AI-assisted development practices and contributing to secure, reliable customer experiences.

Lead technical direction and hands-on development of Bitcoin and stablecoin iOS products across Cash App, Square, and Bitkey. Own architecture, implementation, testing, service integration, rollout, observability, security, and post-launch improvements. Build foundational systems, mentor engineers, influence cross-team standards, collaborate across platforms, and integrate AI-assisted development tools while maintaining software quality and reliability.

Build and operate full-stack compliance platforms for transaction search, entity labeling, ingestion, and workflow automation. Responsibilities include designing microservices and event-driven systems, writing tested code, improving sensitive financial data quality, building self-service tools and high-volume pipelines, partnering with Compliance and Risk teams, and participating in on-call operations. The role also involves using AI-powered development tools, reviewing code, and supporting engineering standards.

Lead the development of foundational iOS platform systems, shared frameworks, developer tools, architecture standards, and multi-quarter migrations across Cash App and Square. Drive performance, reliability, security, testing, observability, release safety, and AI-assisted development practices. This hands-on individual contributor role influences multiple teams, develops technical leaders, and partners broadly to improve iOS engineering quality, productivity, and product outcomes.

Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.

Build privacy-focused services and infrastructure that support consumer privacy rights across Block. Collaborate with engineering, security, platform, and legal teams to embed privacy solutions, define future privacy technology, mentor engineers, review implementations, and maintain monitoring and system stability. The role involves developing scalable, testable software and creating architectures and processes addressing data governance, data flows, access control, security, and privacy risks.

Build internal services and infrastructure that support privacy initiatives and consumer privacy rights. Collaborate with engineering, security, platform, and legal teams to integrate privacy technologies, define privacy architecture, mentor engineers, review implementations, and maintain reliable privacy solutions. The role focuses on responsible data use, governance, data flows, access controls, and reducing privacy risk across Block’s engineering ecosystem.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.

Lead complex card-acquiring projects from design through production, building reliable payment systems, tooling, testing frameworks, and network integrations. Work hands-on with ISO messages, routing, authorization, clearing, settlement, reconciliation, interchange, and tokenization. Set technical direction, mentor engineers, improve reliability, participate in on-call operations, and establish standards adopted across teams. The role requires deep acquiring expertise and experience operating large-scale financial systems.

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.

Lead the architecture and evolution of native iOS foundations supporting seller-facing applications. Identify systemic problems, define platform strategy and standards, build prototypes and reference implementations, lead multi-quarter migrations, and establish practices for quality, testing, observability, release safety, and maintainability. Develop senior engineers and create scalable ownership models across teams.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

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.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

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.

Design, build, and release production C++ software for uncrewed vehicles. Develop autonomy algorithms for perception, localization, path planning, hazard avoidance, sensor fusion, and trajectory tracking. Integrate software with embedded hardware, validate vehicle behavior using simulations and field data, troubleshoot deployments, and create Python tools. Contribute to the long-term architecture of autonomy software.

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.

Develops and deploys enterprise AI applications and intelligent workflows using C#, .NET, Azure, Azure OpenAI, RAG, AI agents, and Copilot Studio. Designs secure APIs, cloud-native services, event-driven architectures, and containerized workloads. Responsibilities include requirements gathering, architecture, development, CI/CD, observability, governance, production support, troubleshooting, documentation, and knowledge transfer. The role collaborates with technical and business stakeholders to deliver scalable AI-enabled solutions.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Design, build, and maintain robotics software for simulation and real robotic hardware. Work across motion planning, control, perception, and manipulation; rapidly prototype ideas and harden successful systems for reliable deployment. Develop tests, metrics, and monitoring to measure robot performance, detect regressions, and reduce simulation-to-reality gaps. Collaborate with a senior team while independently owning problems from discovery through implementation.