Top Entry Level Linux Jobs in San Diego, CA

Develop, enhance, integrate, and maintain the ECOSphere application and related systems for the U.S. Fish and Wildlife Service. Responsibilities include feature development, API and data integration, automated testing, Tier 2/3 support, AWS infrastructure maintenance, DevSecOps pipeline integration, security compliance, reporting datasets, documentation, user experience improvements, and development of an AI-enabled workflow tool.

Supports the design, development, release, analysis, and validation of industrial internal combustion engine components and systems. Coordinates with mechanical, electrical, controls, manufacturing, vendors, and customer service teams. Uses 3D modeling and engineering analysis, contributes to design standards, supports field issue resolution, and assists with validation testing and cross-facility projects.

Administer and support IBM DB2 databases on z/OS, including installation, configuration, migration, recovery, backup, reorganization, tuning, monitoring, troubleshooting, and performance testing. Collaborate with application teams on releases and data fixes, support CICS and COBOL applications, manage IBM support tickets, participate in disaster recovery drills, and administer IBM InfoSphere Data Replication for a critical financial management system.

Build automated test infrastructure for connected devices, integrate hardware testing into CI, design simulation and integration coverage, investigate software and hardware failures, and improve device-software reliability using Python and C++. Collaborate with firmware, systems, cloud, and mobile engineers while developing repeatable workflows and regression tests for release readiness.

Test an AI-developed gaming website by playing an original game, identifying issues, and delivering detailed, professional feedback and testing reports. The role is remote, begins with a trial review, and may lead to testing additional games. The project is expected to last approximately three years.

Develops low-level embedded software, including firmware, bootloaders, device drivers, device trees, kernel configurations, and system services. Optimizes resource-constrained systems and performs hardware-software integration using oscilloscopes, logic analyzers, JTAG, and in-circuit debugging tools. Maintains embedded build systems, toolchains, automated builds, and secure firmware updates while collaborating with hardware and firmware engineering teams.

Lead a small engineering team while remaining hands-on in designing and developing marketing technology and lead-generation systems. Own lead ingestion, routing, enrichment, attribution, ad platform integrations, conversion tracking, and data consistency across CRM, CDP, and advertising platforms. Build scalable event-driven AWS systems, improve reliability and monitoring, and optimize signal quality, acquisition performance, and cost per lead while partnering closely with growth marketing teams.

Build and operate production software, data systems, APIs, internal tools, and AI-powered research workflows for Patch’s climate market-intelligence platform. Responsibilities include ingesting and modeling heterogeneous external data, ensuring data quality and provenance, developing retrieval and agent workflows, and translating user needs into reliable products used by Climate Strategy, Sales, and Marketing. The engineer will own medium-sized projects end to end and contribute to architecture, observability, testing, and system evolution.

Performs coastal engineering analyses, field data collection, numerical modeling, construction observation, technical report and plan preparation, and permit documentation. The role supports wave transformation, hydrodynamics, sediment transport, and coastal morphology projects while collaborating with multidisciplinary teams and communicating technical topics to stakeholders.

Build and operate production software, data systems, APIs, internal tools, and AI-powered research workflows for Patch’s climate market-intelligence platform. Responsibilities include ingesting heterogeneous external data, modeling and validating information, ensuring provenance and freshness, developing retrieval and agent workflows, and turning user needs into reliable production systems. The engineer will partner with Climate Strategy, Sales, and Marketing while owning medium-sized projects from discovery through rollout and monitoring.