Top Linux Jobs in San Diego, CA

Supports customer deployment, integration, testing, troubleshooting, and optimization of wireless mesh radios across drones, robots, and unmanned platforms. Builds validation workflows, scripts, and troubleshooting tools; analyzes RF and network performance; recreates field conditions in laboratories; produces technical documentation and reports; and partners with engineering and firmware teams to improve products. The role also serves as a technical advisor during customer integrations, field evaluations, and mission-critical deployments.

Leads a front-end, back-end, or full-stack software development team, overseeing people management, coaching, delivery planning, technical quality, release readiness, operational support, and continuous improvement. Partners with Product and cross-functional teams to deliver secure, scalable software. Establishes Agile, testing, CI/CD, and AI-assisted development practices while managing technical debt, modernization, performance, and responsible AI adoption.

Build and expand fintech and payment systems using Go, microservices, databases, and cloud technologies. Design production APIs and tooling, diagnose customer issues, manage full release lifecycles, document systems, and mentor engineers. Collaborate with product and business teams while guiding AI agents to produce maintainable, observable, testable code that meets engineering standards. Work independently in a high-availability environment and contribute to next-generation financial products.

Own Perk’s global go-to-market engineering strategy, architecture, tooling, and roadmap. Build production-grade Clay automations, Salesforce integrations, orchestration systems, and AI-agent workflows using code and modern data infrastructure. Automate prospecting, seller workflows, account intelligence, and revenue operations while measuring commercial impact. Lead and develop a senior international team, partner with sales and revenue leaders, and establish engineering standards for scalable, monitored, tested, and recoverable systems.

Build and operate secure, reliable, scalable platform infrastructure across AWS, PostgreSQL, ECS, CI/CD, and observability systems. Lead security and reliability initiatives, incident response, engineering tooling, and non-functional standards. Develop AI platform capabilities, including LLM development tools, guardrails, and infrastructure for AI-powered product features. Collaborate cross-functionally to understand organizational needs and improve developer productivity.

Lead the design, development, deployment, and long-term operation of complex full-stack systems and features. Decompose ambiguous customer problems, manage data models and production systems, monitor SLAs, diagnose incidents, and make architectural decisions. Collaborate with Product, Design, Data Analytics, and Lifecycle Comms while mentoring engineers and improving engineering processes, tooling, and on-call practices. Work primarily with TypeScript, GraphQL, Temporal, Postgres, and AWS, using AI tools responsibly.

Own and improve the production Linux infrastructure, including performance tuning, incident response, configuration management, container orchestration, networking, proxies, virtualization, secrets, observability, and data services. Build automation in Bash and Python, maintain infrastructure code through Git and peer review, troubleshoot complex system issues, write postmortems and runbooks, and support scalable, reliable systems in a regulated fintech environment.

Develop and maintain scalable Salesforce applications across the full lifecycle, including architecture, Apex development, Lightning components, data modeling, integrations, testing, deployment, and performance optimization. Translate technical requirements, support users, enforce development standards, lead Agile collaboration, and promote automation-first practices. The role also involves documentation, knowledge sharing, release readiness, and evaluating Salesforce features and cloud solutions.

Leads and develops a software engineering team through coaching, feedback, hiring, and career growth. Partners with product and engineering leadership on priorities, execution, architecture, and technical strategy. Reviews system designs, evaluates tradeoffs, supports code reviews, and drives improvements in scalability, reliability, performance, testing, and engineering processes. Works remotely with cross-functional leaders to deliver and maintain veterinary software products.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.