Software Engineer Jobs in San Jose, CA

Build and evolve ServiceNow’s AI Experience Framework using Lit-based web components, JavaScript, TypeScript, Node.js, Java, and SSR architecture. Own full-stack design decisions, develop reusable features, optimize performance and scalability, integrate with the Glide platform, and collaborate across teams. Responsibilities include requirements analysis, lifecycle ownership, architecture and code reviews, mentoring, and technical leadership. Preferred experience includes Kubernetes operations and production observability using Grafana and Prometheus.

Design, build, test, launch, and operate full-stack services automating responses to legal, regulatory, and civil requests. Develop backend systems, internal web tools, and integrations across microservice and event-driven architectures. Collaborate with Counsel, Compliance, and Operations while handling sensitive customer data. Participate in on-call, incident response, code reviews, modernization efforts, and responsible use of AI-powered development tools.

Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.

Build and operate enterprise IAM platforms, integrations, provisioning workflows, and lifecycle automation. Lead CI/CD and infrastructure-as-code initiatives using GitLab, Jenkins, Terraform, Ansible, and Puppet. Develop full-stack IAM services, apply analytics and AI to identity governance, and ensure scalable, reliable, auditable systems. Mentor junior and mid-level engineers, lead technical initiatives, conduct design and code reviews, and collaborate with security, compliance, product, and engineering teams.

Lead architecture, roadmap, and implementation for Veza’s scalable Access Graph data platform. Solve complex distributed-systems and graph-database challenges, establish engineering standards, improve reliability and performance, and deliver backend services in Go. Drive cross-team planning, technical decisions, design reviews, and stakeholder alignment while mentoring engineers and team leads. Ensure high standards for correctness, testing, documentation, support, rollback safety, and responsible use of AI-assisted engineering tools.

Develop and deploy slot-game features in Unity and C#, including gameplay, UI/UX, engine systems, and creator tools. Build server-backend functionality, investigate and extend slot-engine systems, define technical tasks, and quickly resolve bugs. The role requires collaboration, strong communication, and delivery under deadlines, with opportunities to work on live mobile games and performance optimization.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Lead full-stack engineering for an AI platform, designing scalable REST APIs, Java backend services, microservices, Kubernetes deployments, frontend integrations, and reusable UI frameworks. Establish architecture and engineering standards across Platform Engineering, translate design systems into accessible components, and mentor engineers across teams. The role requires extensive Java and JavaScript experience, modern frontend frameworks, relational databases, event-driven and stateless architectures, and integrating AI into engineering workflows and decision-making.

Lead the Android platform for Cash App Consumer Platform, building foundational infrastructure, shared libraries, architecture patterns, observability, performance tooling, and developer experiences used across the organization. Drive AI-native engineering practices and tools, identify cross-cutting technical problems, lead architecture reviews, mentor engineers, and collaborate across Android, iOS, web, backend, product, and design teams.

Build and own foundational Android platform infrastructure, shared libraries, frameworks, architecture, observability, performance tooling, and developer experience systems. Lead AI-native engineering practices, evaluate AI development tools, drive cross-organizational technical initiatives, mentor engineers, and establish scalable Android standards. Collaborate across mobile, web, backend, product, design, and leadership teams to improve engineering velocity and customer experiences.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Leads the architectural vision and delivery of AI-powered loyalty systems across distributed engineering teams. Designs scalable APIs, data models, cloud services, and frontend architectures; solves complex technical problems; mentors engineers; drives modernization, operational excellence, and cross-functional alignment across Product, Data Science, and platform teams.

Lead architecture, development, and operation of high-scale Inbox services within the Universal Messaging Platform. Design and build reliable microservices and APIs, write and review production-ready code, own features end-to-end, collaborate cross-functionally, integrate AI/ML safely, and mentor engineers while improving architecture and operational excellence.

Build and operate highly reliable card-issuing software and tooling across authorization, clearing, settlement, certification, and network integrations. Serve as a technical expert on card-network specifications, protocols, mandates, and production behavior. Lead complex cross-team engineering work, debug protocol-level issues, influence network requirements, mentor engineers, improve platform reliability, and participate in on-call support for critical financial systems.

Staff Software Engineer responsible for building and operating Block’s card issuing platform at the network boundary. The role requires deep expertise in card networks, ISO 8583, authorization and clearing flows, certifications, mandates, and direct network connectivity. Responsibilities include writing production code, developing conformance tooling, debugging protocols, leading cross-team technical initiatives, influencing network requirements, mentoring engineers, supporting AI-assisted development, and participating in on-call operations for critical financial systems.

Architect and lead production AI products, including chatbots, document processing systems, and agentic workflows. Build FloQast’s centralized AI platform with model routing, vector search, provider management, observability, and MCP integrations. Integrate AI systems with accounting platforms, repositories, APIs, and cloud environments. Establish AI engineering standards, ensure compliance and reliability, and mentor engineers while providing technical leadership across the organization.

Designs and operates large-scale Kubernetes, hybrid-cloud, and data-center infrastructure; builds SRE tooling, Infrastructure-as-Code, GitOps pipelines, observability, SLOs, and automated runbooks. Develops AI- and machine-learning-driven incident detection and auto-remediation to reduce toil and MTTR. Leads reliability, disaster recovery, cost optimization, on-call operations, and incident management across global teams while mentoring engineers and driving DevOps adoption.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, perform automated actions across workflows, and run safely at scale. Responsibilities include multi-agent orchestration, retrieval-grounding (RAG), model integration, observability, trust and governance, and technical leadership across architecture and delivery.

Senior Software Engineer role at Samsara focused on championing company principles and hiring, developing, and leading an inclusive, high-performing team. The posting provides limited technical responsibilities or qualifications, but emphasizes collaboration, customer success, long-term thinking, and growth within a flexible remote or hybrid work environment.

Build and operate a security data platform connecting SIEM, identity, asset, threat intelligence, and knowledge graph systems. Design core APIs, distributed data pipelines, schemas, risk scoring, entity resolution, and coverage queries. Own architecture and platform workstreams from scoping through delivery, collaborate with detection and identity teams, review code, mentor engineers, and drive partner adoption. The role requires expert Python, deep Splunk expertise, cybersecurity experience, and senior-level project ownership.

Staff Software Engineer responsible for designing, developing, testing, deploying, and supporting scalable ServiceNow AI Search features. The role includes Java and front-end development, search UI administration, analytics dashboards, GraphQL and API enhancements, test automation, performance optimization, and production reliability. The engineer collaborates with Product Owners and cross-functional teams in Agile Scrum processes while supporting machine-learning-based search and customer-reported issues.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, execute workflows, and run safely at scale. Focus areas include multi-agent orchestration, retrieval-grounded reasoning (RAG), model integration, observability, governance, and technical leadership to ship reliable, low-latency autonomous agents in production.

Design, deploy, and maintain AWS cloud infrastructure for mission-critical government applications. Use Terraform and Kubernetes to automate infrastructure, manage EKS workloads, and improve reliability through Python scripting. Collaborate with internal and external teams to resolve dependencies and integrate projects. Required expertise includes AWS services, Terraform, Kubernetes, Python, Helm, and Ansible. The role is hybrid and supports classified government environments.

Develop core decision-making and motion planning systems for Level 4 autonomous vehicles. Responsibilities include behavioral planning, path and velocity generation, trajectory optimization, world modeling, trajectory cost design, testing, debugging, and root-cause analysis. The engineer will collaborate with Prediction, Perception, and Control teams to deliver safe, comfortable, and intelligent vehicle motion in complex environments.