Top Remote Linux Jobs in San Diego, CA

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Own the architecture, scalability, reliability, and delivery of complex software systems. Lead cross-functional technical initiatives, design AI-friendly APIs and agentic workflows, improve performance and cost efficiency, partner with product managers, mentor engineers, influence hiring, and drive engineering quality and technical direction with substantial autonomy.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

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.

Leads a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.

Build and deploy AI-driven automations, agents, integrations, and workflows for logistics clients. Conduct operational discovery, integrate with TMS, WMS, and ERP systems, tune prompts and voice or transcription models, debug production issues, and translate recurring customer needs into reusable platform capabilities. The role requires rapid software delivery, direct collaboration with nontechnical stakeholders, and travel to client engagements and the Chicago office.

The Field Application Engineer supports global customers by aiding in the design-in process of Ambiq's low-power semiconductor solutions, optimizing energy efficiency, and developing hardware and software for embedded systems. Responsibilities include design reviews, customer collaboration, debugging, and presenting complex technical topics.

Lead the Discovery Platform team, overseeing the development of scalable, high-performance systems for retrieval and ranking to enhance the user experience in Whatnot's live social marketplace.

Build and maintain the Microsoft Word add-in that connects GC AI's models to Word, focusing on latency, reliability, real-time document manipulation (tracked changes, comments), editor UX, and shipping enterprise features like clause libraries, playbook reviews, and contextual drafting.

Design and lead enterprise solution and data architectures for large accounts, engage C-level stakeholders, unblock technical sales, guide integrations, cloud strategy, automation, and coach consulting teams to drive adoption, retention, and revenue.