Software Engineer Jobs in San Jose, CA

Design, build, and scale backend Graph features and services powering the Veza Access Graph. Improve performance, reliability, and APIs; implement logging/monitoring; collaborate with product and security teams; optimize code through reviews, testing, and refactoring; stay current on relevant technologies.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.

As a Distinguished Engineer in Cybersecurity at Capital One, you will lead cloud banking innovations, mentor engineers, and architect secure identity management solutions.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

As a Software Engineer, you will design and build backend services and integrations for financial operations, focusing on scalable technology solutions and AI enablement, while collaborating with cross-functional teams to ensure compliance and data integrity.

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

As a Distinguished Software Engineer, you will design and build large-scale distributed systems, optimize machine learning platforms, and lead technical initiatives while mentoring talent.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

Own integration and onboarding of cybersecurity data sources, map and normalize security data, maintain pipeline integrity, troubleshoot and remediate data issues, automate transformations using Python/SQL/APIs and AI agents, and collaborate with Sales, Product, and Engineering to deliver secure, outcome-focused platform workflows.

Design, build, deploy, and operate high-scale, multi-tenant microservices on Kubernetes. Write clean, testable code, integrate AI capabilities, collaborate with product owners, mentor engineers, and improve observability and data-processing pipelines.

Lead design, implementation, and operation of Java and Python microservices running in Kubernetes. Build scalable, reliable distributed systems, design APIs and data models, integrate frontier AI SDKs, apply prompt engineering and model evaluation, and mentor engineers while partnering with product, research, security, and infrastructure teams to ship enterprise-grade AI-enabled services.

The Staff Software Engineer will develop high-quality UI libraries using React.js while driving engineering excellence and maintaining performance standards. Responsibilities include documentation, code reviews, and resolving technical challenges with a focus on automation.

The Staff Software Development Engineer will design software, write code, refactor existing code, and collaborate with teams to drive product requirements and resolve customer issues.

Design, build, and operate authentication and authorization systems for millions of users and devices. Drive IAM strategy for AI agents, implement secure, standards-based solutions, mentor engineers, partner with cross-functional teams on security, compliance, and scalable distributed system architecture.

Lead design and implementation of integrations that ingest data from external services (AWS, Okta, GCP, Azure, Box, HashiCorp, Databricks). Drive architecture, scalability, and reliability of microservices and data models, mentor backend engineers, partner with product and customers, and apply AI/ML to streamline adding integrations and mapping access relationships.

The role involves leading security architecture and development for AI Platform, focusing on cryptography, key management, and machine identity. Collaboration across teams is essential to deliver secure solutions.

Design and implement scalable software systems, mentor junior engineers, and integrate automated testing while collaborating to improve platform performance and resilience.

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

Lead diverse technology projects and a team to create solutions for regulatory needs, leveraging distributed microservices and collaboration with product managers.

Lead design and standardization of CI/CD platforms (primarily GitHub Actions) and Terraform-based IaC. Build reusable workflows and modules, enforce security and compliance, optimize pipeline performance and observability, enable self-service provisioning, drive SDLC improvements, lead cross-team migrations, and mentor senior engineers to improve developer productivity and reliability.

Design and implement CUDA/C++ libraries to accelerate Apache Spark DataFrame and I/O operations, collaborate on distributed multi-node GPU solutions, contribute to open-source projects (RAPIDS, CCCL, UCX), and drive testing, CI, and cross-platform optimization for enterprise deployments.

Research and implement algorithms for trajectory data mining and road network analysis; build proof-of-concept tools to improve the map-building pipeline; perform data analysis and prepare sensor (GPS/IMU, lidar, camera, radar) data; develop software for storing, uploading, accessing, and visualizing 2D and 3D HD maps on NVIDIA platforms for benchmarking and experiments.

The role involves building systems for route planning, optimization, and real-time tracking for fleets, emphasizing scalable backend services and integration with dispatch tools.

Lead architecture and development of production AI products (chatbots, document processing, agentic workflows) and centralized AI platform components (model routing, provider management, vector search, MCP). Build scalable, cloud-native integrations with accounting systems and external APIs, drive AI system design and context engineering, ensure observability and compliance, and mentor engineers while shaping company-wide AI standards and governance.

Design, implement, and extend compute debugger tools and libraries for GPUs across Windows, Linux, and embedded RTOS. Collaborate with cross-functional teams, document designs, estimate and prioritize work, perform peer reviews, and mentor junior engineers to improve debugging and performance analysis capabilities.