Top Remote Linux Jobs in San Diego, CA

Support flight software certification for the Nyx orbital vehicle through V&V and IV&V, requirements management and tracing, test planning, documentation for certification and NASA safety reviews, standards interpretation, interfacing with system engineering and product assurance, and contributing to software design and integrated mission testing using C++ and Python.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Build and operate platform infrastructure across PostgreSQL, GCP, data systems, developer tooling, security foundations, and agentic systems. Own infrastructure projects from discovery through production, including migrations, observability, rollback planning, reliability, scalability, and internal customer feedback. Develop shared frameworks, evaluations, harnesses, sandboxes, and interfaces for cloud-based agent workflows while improving developer velocity and platform quality.

Create and revise 2D CAD drawings for building automation, mechanical, and electrical systems, including floor plans, wiring diagrams, control schematics, risers, and as-built documentation. Translate markups into accurate drawing packages, maintain CAD standards and version control, support submittals and permitting, and collaborate with engineers, designers, project managers, and field technicians. Review drawings for accuracy, clarity, compliance, and constructability.

Deploys, manages, automates, and troubleshoots network, cloud, and server infrastructure for small and mid-sized business clients. Responsibilities include Cisco Meraki deployments, Azure administration, monitoring, alert analysis, packet troubleshooting, carrier coordination, security hardening, backup and disaster recovery, automated remediation using PowerShell and Python, escalation management, documentation, and service desk training. The role is fully remote in the Charlotte area with occasional local client travel.

Leads the strategy, architecture, and delivery of Extreme Networks’ wireless hardware and software portfolio, including access points, controllers, and cloud-managed platforms. Oversees distributed hardware, firmware, software, and RF engineering teams; manages roadmaps, budgets, vendors, compliance, and executive communications. Drives scalable product delivery, engineering quality, cloud networking, AI adoption, and innovation in Wi-Fi, private wireless, and cellular convergence.

Designs and operates production-grade Amazon EKS platforms across AWS and on-premises environments. Responsibilities include hybrid Kubernetes networking, autoscaling with Karpenter, Bottlerocket lifecycle management, EMR-on-EKS workloads, GPU infrastructure for AI and voice inference, GitOps deployment, security policy enforcement, infrastructure as code, observability, disaster recovery, and operational documentation.

Lead development of production-grade web and mobile applications using Flutter, React, JavaScript, and TypeScript. Own architecture, backend services, APIs, databases, integrations, testing, CI/CD, cloud deployment, monitoring, security, and production support. Lead and mentor a distributed team of 4–7 engineers, coordinate with cross-functional teams, manage releases to web and mobile stores, and ensure reliable, scalable, performant applications.

Design complex printed circuit board layouts meeting mechanical, electrical, RF, mixed-signal, and manufacturing requirements. Plan project resources, communicate progress with customers, resolve technical issues, track project activities, and support on-time delivery. Collaborate remotely with multidisciplinary design teams, apply IPC standards, use PCB layout tools, and advocate for customers while maintaining high quality and workmanship.

Build and own large-scale backend and full-stack systems supporting AI agents, data integrations, sync engines, and construction financial products. Design major subsystems, make architecture and build-versus-buy decisions, debug complex production issues, improve scalability and performance, and mentor engineers. Work across cloud infrastructure, distributed systems, legacy on-premise integrations, caching, data consistency, and AI-powered workflows while collaborating directly with founders and customers.