Top Software Engineer Jobs

Build scalable data foundations and personalization systems for AI agents. Responsibilities include real-time eventing, streaming and batch ETL, Iceberg lakehouse infrastructure, OLAP querying, orchestration, experimentation, long-term agent memory, customer data platform primitives, analytics products, and optimization loops. The role may focus on platform engineering or full-stack product engineering, including ML-powered personalization and data visualization.

Build and maintain scalable backend infrastructure for healthcare AI applications. Develop distributed multimodal data pipelines, APIs, microservices, data ingestion and metadata systems, and ML enablement workflows. Optimize performance, reliability, monitoring, and uptime for production LLM systems. Collaborate with data scientists, ML engineers, physicians, and product managers to translate healthcare requirements into technical solutions. This is an in-person role five days per week in Menlo Park.

Lead and grow an engineering team building foundational healthcare data platforms. Responsibilities include hiring, mentorship, technical standards, architecture reviews, platform roadmap development, and execution of complex cross-functional initiatives involving large-scale data ingestion, storage, authorization, and global infrastructure.

Lead end-to-end development of enterprise microservice applications using Java, Spring Boot, and Angular. Design scalable architectures, RESTful APIs, database solutions, and CI/CD pipelines. Mentor developers, conduct code reviews, guide technical design, optimize application performance, troubleshoot production issues, and promote security and DevOps practices. Collaborate with cross-functional stakeholders in Agile environments to deliver mission-critical financial applications.

Leads the configuration, support, integration, and development of Oracle Fusion Financials solutions across GL, AP, AR, Fixed Assets, and Cash Management. Designs integrations using OIC, REST APIs, SOAP, and FBDI; performs requirements analysis, data mapping, troubleshooting, documentation, and production support. Collaborates with finance, architecture, security, and technology teams while ensuring audit, security, and compliance standards in a regulated enterprise environment.

Build end-to-end features in a JS/TS stack, designing scalable backend services and responsive real-time frontends. Improve observability, performance, and reliability, collaborate with product/design, and own full-stack implementation from APIs and data models to UI.

Design and build Anthropic’s finance engineering platform, including governed APIs, event-driven ingestion, an append-only accounting ledger, idempotent posting, audit controls, SDKs, and production services. Partner with Billing, Compute, Infrastructure, finance operations, internal audit, and product teams to establish reliable shared contracts and technical designs. Own architecture, engineering standards, service reliability, replayability, correctness, and compliance for high-volume financial systems.

Develop and maintain Java/Spring Boot microservices, REST APIs, PostgreSQL data models, Kafka event integrations, and accessible Angular applications. Build automated tests, troubleshoot defects, participate in code reviews and Agile ceremonies, support deployments and production maintenance, and collaborate with technical and business stakeholders. The role also includes feature demonstrations, architectural walkthroughs, documentation, and occasional technical guidance for less experienced team members.

Build and scale secure, reliable backend services and web applications for a fintech wealth management platform. Responsibilities include identity and access management, AWS infrastructure, database optimization, API and distributed-systems hardening, production reliability, observability, incident response, and security remediation. The role independently delivers solutions from design through production, mentors engineers, and partners with security leadership. This is a hybrid position requiring three office days weekly in San Francisco.

Own and scale Ashby’s demo environment system by customizing templates, generating realistic data, creating vertical-specific demos, and standing up trial and sandbox environments. Ensure new releases are demo-ready, document system usage, and enable go-to-market teams. The role requires hands-on work with JSON, APIs, data preparation, automation, internal tooling, and close collaboration with Engineering, Product, and Solutions Engineering.