Top Senior Linux Jobs in San Diego, CA

Develop and optimize cloud-based, low-latency trading systems processing real-time market and event data. Responsibilities include building data pipelines, integrating trading platforms, improving trading strategies, developing analytical reporting, optimizing millisecond-level performance, collaborating with quantitative analysts, and maintaining GCP infrastructure and deployment pipelines.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Build and customize enterprise full-stack applications, data connectors, and plugins for customer technology environments. Develop dynamic front ends using React, AngularJS, or NextJS; support backend development and database management; and implement UI event instrumentation. Collaborate using Agile/Scrum, CI/CD, and cloud-native practices while helping lead engineering teams. Bonus work includes generative AI, prompt engineering, search and AI APIs, cloud platforms, and legal technology.

Lead full-stack software development across frontend and backend systems, designing scalable solutions and productionizing AI-driven capabilities. Collaborate with product, design, and support teams to translate customer needs into technical solutions, resolve complex issues, improve development processes, and contribute to product direction. The role requires React, TypeScript, and Node.js expertise, with preferred experience in LLMs, REST APIs, microservices, databases, and cloud platforms.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

Administers and improves company network infrastructure by designing solutions, configuring routers, switches, firewalls, VPNs, and wireless systems. Monitors performance, troubleshoots outages, manages upgrades and backups, documents network architecture, automates routine tasks, and supports capacity planning. Provides advanced escalation support, technical leadership, and guidance on network strategy while coordinating equipment procurement, installers, facilities schematics, and occasional after-hours work and travel.

Build and maintain low-latency connectivity APIs and integrations with crypto exchanges, OTC desks, brokers, and other trading venues. Develop order routing, trade execution, and real-time data ingestion systems using REST, WebSocket, and FIX. Monitor connections and data pipelines, improve reliability and observability with Grafana and Prometheus, collaborate on exchange onboarding, and create automated tests for production readiness.

Provide end-to-end technical support to global quantum computing customers. Troubleshoot experimental hardware and software setups, identify root causes, develop workarounds, collaborate with R&D on lasting solutions, support hardware installations, document resolutions, and maintain customer communication. The role requires hands-on experimental physics experience, Python proficiency, Linux familiarity, networking knowledge, and global travel to customer sites.

Build and scale Mandrel’s AI-native ERP platform for finance and supply-chain workflows. Responsibilities include designing full-stack systems, AI-powered document-processing pipelines, real-time synchronization, multi-tenant enterprise features, third-party integrations, background processing, and automated financial reconciliation. The role also owns architecture decisions, contributes to technical strategy, establishes engineering standards, mentors teammates, and partners with customers and product teams.

Owns scalable, secure, and cost-effective infrastructure solutions; automates AWS deployments with Infrastructure as Code; supports Docker and Kubernetes workloads; monitors and tunes distributed systems; establishes observability; automates patching and vulnerability scanning; optimizes cloud costs; and mentors junior engineers.