Top Linux Jobs in San Diego, CA

Lead the technical architecture and governance of an enterprise Automation Center of Excellence using UiPath Maestro, RPA, AI agents, and enterprise systems. Establish engineering standards, provide hands-on technical leadership, oversee platform operations and releases, define automation guardrails, and ensure security, compliance, auditability, and access control. Collaborate with security, ERP, and business stakeholders while supporting data integration, reporting, and automation through Microsoft SQL Server, SSIS, SSRS, and stored procedures.

Design, develop, test, and maintain production software while guiding architecture, code quality, security, performance, and technical delivery. Mentor engineers, participate in code reviews, address technical debt, break work into executable tasks, and collaborate with product stakeholders. The role emphasizes AI-assisted development, SOLID principles, service-based architectures, CI/CD, cloud platforms, containerization, and effective technical communication.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Design, build, and maintain customer-facing products and backend systems for configurable workflows, automation, and clinic operations. Translate manual services into scalable software, develop reusable primitives, write tests, debug production issues, improve reliability, influence architecture, and mentor engineers. The role is backend-focused with full-stack responsibilities and close collaboration with product and operations.

Develop and deploy robotics software across navigation, perception, teleoperation, motion behaviors, and warehouse-management integrations. Build features in C++ and Python using ROS2, debug autonomous navigation, containerize deployments with Docker, and commission robots on customer warehouse sites. The role involves hands-on work with real hardware, sensors, embedded compute, and fleet systems, with mentorship from senior roboticists and ownership of features from prototype through production deployment.

Supports enterprise datacenter infrastructure through hardware deployment, rack installation, lifecycle management, firmware updates, monitoring, troubleshooting, asset management, and capacity planning. Partners with engineering, network, and facilities teams to maintain critical systems in a 24/7 environment. Handles P0 incidents, hardware shipping and recycling, network port configurations, observability platforms, and datacenter power infrastructure while supporting modernization and operational efficiency initiatives.

Leads and manages software developers and architects while designing scalable applications using Azure, AWS, .NET, Java, and Node.js. Oversees Angular and React development, software architecture, code quality, security, documentation, project timelines, risks, and resources. Provides hands-on technical leadership, manages the full project lifecycle, drives continuous improvement, and mentors team members.

Leads enterprise digitalization, automation, AI, and IT/OT integration strategy for an integrated steel plant. Oversees plant automation systems, MES, ERP, industrial IoT, data infrastructure, cybersecurity, and AI/ML adoption across operations. Builds cross-functional digital and automation teams, establishes governance, manages technology partners, drives change management, and presents transformation progress to executive leadership and the board.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Designs and delivers data architectures for complex enterprise customers. Leads discovery, profiles warehouse data, creates schemas and identity-matching rules, directs agent-assisted transformations, validates performance and business outcomes, and builds semantic layers and business logic for marketing activation. The architect owns implementation quality, customer alignment, reusable reference architectures, and ongoing technical guidance while informing product teams about platform gaps.