Top Remote Linux Jobs in San Diego, CA

Develop and maintain high-frequency trading systems, implement optimized production code from quantitative prototypes, and contribute to data pipelines, simulators, backtesting, and monitoring software. Interns may rotate across quantitative research and development tracks involving statistical arbitrage and market-making strategies for commodities and digital assets. The role includes collaboration with infrastructure teams, quants, and traders, plus coding assessments and quantitative interviews.

Leads CI/CD strategy, pipeline design, automation, deployment standards, and software delivery improvements across multiple applications. Collaborates with development, security, and infrastructure teams, mentors engineers, provides technical direction, and drives continuous improvement throughout the software development lifecycle. Requires substantial DevOps, cloud, or platform engineering experience and eligibility for a Secret Security Clearance.

Build and maintain automated business workflows using Zoho Creator, Zoho Flow, n8n, APIs, webhooks, and scripting. Develop custom applications, integrations, Deluge scripts, JavaScript, HTML/CSS, Node.js or Python solutions, and data-processing automations. Monitor and troubleshoot workflows, maintain data consistency and security, document solutions, create process diagrams and training materials, and collaborate with technical and nontechnical stakeholders while learning under senior supervision.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Plans, designs, and supports the execution of formwork and shoring systems for construction projects. Collaborates with clients, project managers, engineers, architects, and construction teams; creates drawings, models, and calculations; selects materials; ensures code and safety compliance; provides technical guidance; and monitors project risks, progress, and corrective actions.

Build and operate AI agent systems with customer engineering teams, helping move prototypes into reliable production systems. Design agents, improve evaluations, monitoring, scaling, and reliability, and train customers on the Mastra framework. Translate recurring customer challenges into open-source framework improvements, fix performance issues, ship new primitives, improve code quality, and influence the product roadmap through production insights.

Lead the design, implementation, and management of integrations across proprietary platforms, custody systems, trading venues, blockchain services, compliance tools, and other third-party providers. Own data normalization, reconciliation, ledger synchronization, workflow automation, reporting, and client account infrastructure. Provide technical support during onboarding, troubleshoot integration issues, coordinate vendors, translate business requirements into technical solutions, and collaborate with technology, operations, risk, compliance, and client service teams.

Lead human factors engineering across testing of CBRN detection systems. Conduct usability, task, workload, human-in-the-loop, and human-system interface evaluations; analyze operator errors and incidents; and recommend design, training, and procedural mitigations. Integrate human performance findings into test plans, reports, and acquisition decisions. Collaborate with systems engineers and stakeholders to ensure traceable, testable human factors requirements within federal acquisition and test-and-evaluation frameworks.

Leads DevOps and Data Engineering teams supporting AWS infrastructure, CI/CD, observability, incident response, data platforms, and pipelines. Sets platform strategy, mentors engineers, guides architecture, and manages technical roadmaps. Owns SOC 2 audits and penetration testing, coordinates vendors and auditors, improves security and reliability, and coaches teams on validating AI-assisted development. This player-coach role requires hands-on technical contribution and cross-functional collaboration in a remote environment.