Top Software Engineer Jobs in San Diego, CA

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

Design and build reliable, scalable backend services, search APIs, semantic and lexical search systems, and platform components serving millions of users. Collaborate with engineering, product, and QA teams to translate requirements into solutions, while improving observability, monitoring, alerting, and operational readiness. Support multi-region systems using CI/CD, infrastructure as code, containers, high availability, and disaster recovery practices.

Leads a student-facing software engineering team while managing people, technical direction, architecture, delivery, and team health. The role combines hands-on coding, code review, technical debt ownership, pragmatic architectural decisions, AI-assisted development, and agile process improvement. The manager owns direct-report development, performance management, career growth, and team culture while partnering closely with Product to improve execution and learning.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

Provides hands-on technical leadership for Pantheon’s P1 zero-to-one product and company-wide engineering strategy. Owns architecture across real-time collaboration, APIs, data, publishing, integrations, and developer experience; establishes reliability, security, observability, and delivery standards; guides build-versus-buy decisions; mentors senior engineers; partners with product, design, security, infrastructure, and customers; and contributes code to validate architecture and unblock critical initiatives.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.

Design, scale, and optimize APIs, services, databases, and critical wagering, financial ledger, and regulatory systems. Lead complex technical initiatives, improve production performance and resilience, build integrations and migrations, manage monitoring, and mentor engineers. The role requires ownership of end-to-end delivery, on-call operations, scalable distributed systems, GraphQL, relational databases, Kubernetes, asynchronous processing, and highly accurate, auditable financial systems.

Build and own enterprise platform components end to end, integrating with customer infrastructure and self-managed Kubernetes environments. Develop observability, improve reliability and availability, debug distributed systems, address security vulnerabilities, and deliver production software for enterprise users. Collaborate with product and technical leads, mentor engineers, and maintain hands-on ownership across design, implementation, deployment, and production operations.