Top Linux Jobs in San Diego, CA

Lead hardware qualification and optimization for TrueNAS enterprise appliances. Drive vendor collaboration, perform deep root-cause and performance analysis, mentor teams, document fixes, and support product launches and sustaining engineering efforts.

The Full Stack Engineer will build cloud-based applications, collaborate with teams, and utilize AWS technologies to deliver solutions.

Design, maintain, and scale Swoop's self-hosted LLM infrastructure, optimize inference engines and resource usage, implement tool calls and RAG search, tune storage for streaming, and ensure production Kubernetes availability and SLAs.

Triage and resolve technical customer issues by debugging complex systems, interacting with customers, developing fixes, collaborating with product, QA, DevOps, and automating tests and deployments to ensure high-quality support and product stability.

The Solutions Software Engineer will engage with customers, develop and implement digital engineering solutions, provide technical support, and continuously innovate in software development.

Drive end-to-end enterprise deployments of Synthflow's no-code voice AI platform: design solutions, build integrations with CRMs/telephony, troubleshoot production issues, optimize adoption, and translate customer needs into product improvements.

Seeking experienced developers proficient in PHP, Java, Python, or C# for full-stack software development. Candidates must have good communication skills and the ability to obtain a Top Secret clearance.

Design, build, and maintain XBRL taxonomies, instance documents, and reporting solutions. Perform requirements analysis, data mapping, validation rule development, system integration, operations, and maintenance to ensure compliant digital regulatory filings.

Lead identification and design of automation and AI solutions across departments: document current workflows, produce future-state architectures and POCs, present to leadership, and hand off implementable designs to engineering and data teams to scale operations without proportional headcount growth.

Design, develop, and scale cloud-native .NET applications and APIs on Azure. Produce unit-tested code, implement RESTful and SOAP services, design database objects, and apply cloud architecture patterns while taking on increasing leadership responsibilities.