Software Engineer Jobs in San Jose, CA

Principal Engineer responsible for driving the technical direction of ServiceNow’s conversational analytics products. The role builds cloud-based AI/ML solutions, develops prototypes, owns software delivery, and collaborates with engineering, product, and leadership. Responsibilities include designing agentic analytics capabilities, integrating semantic layers and knowledge graphs, improving accuracy through evaluation frameworks, and coaching engineers. Strong communication, customer focus, and expertise in large-scale software systems, AI-native development, analytics platforms, and natural-language querying are required.

Design and build cloud-based AI and machine learning solutions for ServiceNow’s conversational analytics products. Drive architecture and technical direction, create prototypes, collaborate with engineering and product teams, and own software through delivery. Develop agentic analytics capabilities involving semantic layers, knowledge graphs, data catalogs, and contextual engines. Coach engineers, communicate with technical and executive audiences, and prioritize customer outcomes such as accuracy and evaluation quality.

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.

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.

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.

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.

Design, build, and scale the Veza Access Graph backend: develop graph features, improve performance, reliability, and APIs, collaborate cross-functionally, and implement monitoring, logging, and compliance capabilities for identity and access management at scale.

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.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Design, build, and operate services powering card issuance, transaction authorization, wallet provisioning, 3-D Secure, and disputes. Own features end-to-end within a microservice, event-driven architecture, write well-tested code, participate in reviews, and perform operational ownership including on-call and incident response. Leverage AI developer tools to improve velocity and quality.

Design, build, test, ship, and operate services powering card issuance, transaction processing, and disputes. Own features end-to-end within a microservice and event-driven architecture, write well-tested code, participate in on-call incident response, and leverage AI tools to improve development velocity and quality while collaborating with cross-functional teams.

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.

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.

Build the agent evaluation platform for multi-step enterprise AI agents. Responsibilities include orchestrating high-concurrency evaluations, developing OpenTelemetry-based tracing, creating stateful simulations of enterprise systems, managing datasets and reports, implementing validators and scoring, and establishing reliability, reproducibility, and SLOs. The role also develops calibrated evaluation signals that can optimize and train agent behavior.

Own end-to-end modem firmware architecture for LGA modules, lead modem software stack integration, define baseband, RF, power-management, and system-interface guidelines, and align firmware, hardware, RF, and platform teams. Serve as the technical partner contact, guide complex design and performance decisions, resolve system-level issues, influence modem roadmaps, and provide technical leadership for high-performance 5G platforms.

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 and implement scalable, low-latency AI security infrastructure and high-performance networking code in Rust. Collaborate with product and cross-functional teams, debug complex network/system issues, and deliver secure, testable solutions for large-scale cloud security platform.

Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Lead architecture and implementation of AI-security products, define technical direction, drive cross-team initiatives, design secure scalable backend systems, and address systemic risks while remaining hands-on in coding, prototyping, and debugging.

Lead design and delivery of full-stack features across React UIs, Spring Boot microservices, REST APIs, Kafka event services, and AWS/Kubernetes infrastructure. Architect reusable UI components, set technical direction with cross-functional partners, own logging/observability and platform concerns, mentor engineers, conduct code reviews, and drive engineering standards.

Lead design and implementation of high-performance, scalable integrations that ingest identity data from cloud and SaaS providers. Drive architecture and best practices, mentor backend engineers, partner with product and customer teams, and apply AI/ML models to streamline connector development and data modeling for Veza's Access Graph platform.