Top Remote Linux Jobs in San Diego, CA

The Internal Systems Engineer (Applied AI) builds AI tools, maintains agent platforms, and develops internal software for Customer Operations at impact.com. Responsibilities include working with business stakeholders, integrating AI in workflows, and improving operational efficiency through automation.

Lead Booking engineering (five teams) to deliver high-scale scheduling, booking, communications, telehealth, and marketplace systems. Hire and grow engineering leaders, shape technical and AI strategy (agentic workflows, evals), drive high-velocity delivery with quality, partner with Product and Design, and scale the org through new product lines and rising customer demand.

The Director of Application Engineering leads a team of engineers, manages customer support, trains clients on tools, and collaborates with R&D to enhance product features.

The Software Engineer will develop customer-facing integrations, build APIs, enhance security, and improve system reliability while collaborating with multiple teams.

Lead a team of 10 engineers to architect and develop Node.js and Salesforce solutions, improving delivery schedules and performance metrics.

Lead architecture, design, and deployment of cloud and hybrid network solutions. Design/configure routers, switches, firewalls, VPNs; manage segmentation, routing (BGP/OSPF), NAT, monitoring, troubleshooting, and on-call support.

The role involves designing pre-sales solutions, consulting clients, producing configurations, conducting demos, and supporting partner engagement to enhance brand visibility in Taiwan.

As a Data Engineer, you will design, build, and maintain data pipelines and workflows, transforming raw data sources into clean, reliable data streams for healthcare clients.

Senior staff engineer role owning platform and solution architecture across cloud infrastructure, Kubernetes, GitOps, CI/CD, observability, and data pipelines. Build reusable modules, improve developer experience, secure cloud patterns, troubleshoot production systems, mentor engineers, and partner with product and data teams to deliver scalable, reliable platform capabilities.

The Network Engineer will label, annotate, and structure data from networks, supporting the development of AI-driven infrastructure solutions.