Top Software Engineer Jobs in San Diego, CA

Develop and lead high-performance Lustre features across kernel modules, user-space utilities, and storage subsystems. Improve scalability, metadata performance, I/O, locking, RDMA, and cloud capabilities for multi-petabyte environments. Drive design, coding, testing, profiling, performance tuning, and upstream contribution. Evaluate emerging storage technologies, strengthen validation tooling, collaborate with hardware and application teams, mentor developers, and contribute technical documentation and reviews.

Develop and design clinical and patient-facing healthcare applications in a collaborative agile engineering environment. Responsibilities include making technical decisions, mentoring offshore developers, designing integrations, maintaining development and CI/CD standards, collaborating with business and product teams, improving engineering processes, and delivering secure, reliable software. The role requires experience with .NET, C#, Web API, Azure, React, messaging solutions, SQL Server, and software development methodologies.

Design, build, test, and operate modern web applications and integrations. Develop performant, accessible UIs using Angular/TypeScript, collaborate across product and infra, support cloud-native services, CI/CD, observability, and responsibly use AI-assisted tools to deliver production-ready software.

Designs, develops, and deploys scalable, resilient backend applications and APIs using TypeScript and AWS cloud services. Responsibilities include managing infrastructure with AWS CDK, working with DynamoDB and Lambda, collaborating with frontend and product teams, writing testable code, participating in code reviews, troubleshooting production issues, and applying AWS best practices.

Designs, develops, and optimizes SQL Server databases supporting high-transaction applications in AWS and microservice architectures. Responsibilities include schema and data modeling, stored procedures, deployment scripts, indexing, performance troubleshooting, database maintenance, recovery, security, and data-layer architecture. The role serves as a database subject matter expert, prototypes cloud-native technologies, and collaborates with architects, developers, and DevOps teams.

Develop and maintain GPU performance foundation libraries and test frameworks for Nsight tools. Implement GPU assembly tests, use emulators/simulators to validate instruction events, and document data workflows. Collaborate with hardware architecture teams to enable performance analysis and optimization of GPU-accelerated applications.

Design and architect enterprise-scale cloud-native platforms using Golang, Kubernetes, AWS/EKS, and distributed systems. Build Kubernetes Operators, Controllers, and CRDs while implementing resilient, scalable microservices architectures. Integrate Agentic AI, RAG, MCP, and LLM capabilities with cloud-native platforms. Apply Docker, Helm, GitOps, observability, infrastructure automation, and production troubleshooting practices. Experience with multi-cluster Kubernetes, Istio, Kafka, Terraform, and ArgoCD is preferred.

Build and maintain Python-based automation, services, test infrastructure, and performance analysis tooling for a distributed database system. Collaborate with internal stakeholders, improve developer tooling and reproducible testing, analyze system performance, and create documentation and runbooks. The role requires strong software fundamentals, systems thinking, Linux and CI experience, and the ability to learn new languages and systems quickly.

Leads the Enterprise Platform and Integrations engineering team, including people management, API strategy, partner integrations, technical roadmaps, and operational excellence. Establishes scalable API standards, reusable integration patterns, security and observability practices, and reliable delivery processes. Partners with Product, Operations, Security, Sales, and external partners to deliver complex integrations, improve platform reliability, and support AI-agent access to business capabilities.

Leads and scales the MSP/MSSP engineering team responsible for multi-tenant SaaS platform capabilities, including account hierarchies, tenant isolation, delegated administration, dashboards, licensing, and white-labeling. Oversees architecture, engineering quality, roadmap execution, partner support, hiring, mentoring, and team development. Collaborates with Product, Partnerships, Customer Success, Sales, Finance, and engineering leadership while balancing strategic delivery with operational needs.