Top Linux Jobs in San Diego, CA

Build and maintain scalable backend infrastructure for healthcare AI applications. Develop distributed multimodal data pipelines, APIs, microservices, data ingestion and metadata systems, and ML enablement workflows. Optimize performance, reliability, monitoring, and uptime for production LLM systems. Collaborate with data scientists, ML engineers, physicians, and product managers to translate healthcare requirements into technical solutions. This is an in-person role five days per week in Menlo Park.

Develop, ship, and maintain battery models integrated into Ohm's production platform; collaborate directly with customers to solve battery testing, validation, and modeling challenges; build domain-knowledge infrastructure and combine physics-based and data-driven methods to drive measurable customer impact.

Architect, build, and maintain scalable full‑stack applications using React, TypeScript, Node.js, and AWS. Own features end-to-end, optimize performance and usability, collaborate with founders, and use AI tools to accelerate development in a fast-paced startup.

Build and operate end-to-end revenue systems for promotional campaigns, payment processing, and related capabilities. Develop scalable backend services and frontend applications, make architecture decisions, improve observability and reliability, lead projects through launch, and mentor engineers. Collaborate with Product, Marketing, Finance, and Business Operations while supporting on-call operations and continuous platform improvement.

Owns enterprise software development across the full SDLC, including requirements analysis, design, coding, testing, integration, release support, and production troubleshooting. Develops IBM Sterling B2B Integrator business processes, EDI workflows, and trading partner integrations alongside .NET, Java, and JavaScript applications. Leads code reviews, mentors developers, documents technical solutions, monitors web properties, and oversees third-party technology vendors and deliverables.

Administers and supports enterprise LAN/WAN, SD-WAN, wireless, VPN, branch, ATM, and cloud-connected network infrastructure. Configures routers, switches, firewalls, and wireless systems; monitors performance and alerts; troubleshoots connectivity issues; maintains hardware, cabling, documentation, and inventories; coordinates vendors; implements approved changes; and supports security controls, vulnerability remediation, compliance, disaster recovery, and incident response.

Staff Software Engineer role to design and build scalable, production-ready backend systems handling high throughput data. Move fast, iterate on large software projects, launch products, and participate in recruiting. Work across frontend and backend tech and influence platform and infrastructure decisions.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Develop custom ServiceNow applications for work order management, scheduling, and dispatch. Collaborate with stakeholders and technical SMEs, enhance event rules and CMDB binding, build REST integrations and user interfaces, and configure Discovery, Service Mapping, MID Servers, Service Graph Connectors, and multisource CMDB. The role also involves creating discovery patterns, preventing duplicate CIs, configuring identification rules, migrating patterns across environments, and supporting multi-tier service discovery.

Design, develop, and maintain Terraform-based infrastructure and reusable cloud components across AWS, Azure, or GCP. Build and optimize Jenkins CI/CD pipelines, automate deployment strategies, integrate testing and security checks, and manage infrastructure lifecycle activities. Support containerized cloud-native environments, monitoring, logging, production releases, incident management, and root-cause analysis while collaborating with development, QA, security, infrastructure, and architecture teams.