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Top Linux Jobs in San Diego, CA
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
Build a new Physical AI product line spanning edge devices, cloud infrastructure, and user-facing safety tools. Own real-time ingestion, multi-tenant access control, dashboards, compliance analytics, operator coaching workflows, and AI agent features. Work directly with customers, run pilots, ship rapidly, and measure product usage. The role requires broad full-stack range across backend, cloud infrastructure, DevOps, frontend, and real-time data experiences.
Top Skills:
Ai AgentsAuth0AWSCi/CdClaude CodeClerkCodexComputer VisionContainersCursorDistributed SystemsEdge ComputingEvent-Driven SystemsGoJavaJavaScriptLlmsPysparkPythonSparkTemporalTypescriptWorkos
Artificial Intelligence • eCommerce • Logistics • Retail
Build, deploy, and operate production software for enterprise logistics customers. The role involves developing core delivery orchestration infrastructure, integrating APIs and platforms, debugging fleet and logistics workflows, taking products from concept through deployment, and collaborating directly with customer engineering, operations, and executive teams. The engineer will also partner with product and AI teams to shape the company’s North American engineering strategy.
Top Skills:
AIAPIsBackend SystemsPlatform Integrations
Cloud • Social Impact • Software
Owns platform architecture, standards, data governance, integration patterns, and lifecycle decisions for Blackbaud’s Awareness to Revenue platforms, including Salesforce. Establishes shared technical direction across an Agile Release Train, defines architectural enablers and non-functional requirements, manages technical risk, and mentors engineering teams. The role partners with solution and enterprise architects, supports scaled Agile ceremonies, and ensures secure, reliable, operable platforms through DevSecOps and continuous delivery practices.
Top Skills:
Agile Release TrainAi AgentsContract Lifecycle Management PlatformsConversation Intelligence PlatformsCustomer Success PlatformsData And Analytics PlatformsData ContractsDevsecopsE-Signature PlatformsEnterprise Resource Planning PlatformsIt Service Management PlatformsLakehouse ArchitectureMachine Learning PipelinesMarketing AutomationSafeSalesforceWorkflow Automation
Marketing Tech • Software • Analytics
Leads the engineering organization’s daily delivery, technical execution, architecture quality, and team development. Manages engineering managers, technical leads, and developers; establishes Agile, CI/CD, code review, testing, and SDLC standards; partners with Product and Design on roadmap execution; allocates resources, removes delivery bottlenecks, and supports hiring and career development.
Top Skills:
AgileAPIsCi/CdCloud-Native PlatformsData Ingestion PipelinesDevOpsJIRALinearScrumSdlc
Productivity
Build and operate reliable, scalable infrastructure and backend systems. Define and monitor SLOs and SLAs, manage on-call operations, improve observability, performance, security, developer experience, and technical processes. Contribute to Temporal-based workflow orchestration, advise backend projects, manage AWS infrastructure, and support system scalability as the customer base grows.
Top Skills:
Amazon EksAWSCi/CdDockerHelmInfrastructure As CodeKubernetesLinuxTemporal
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Artificial Intelligence • Logistics • Transportation
Build and maintain full-stack web applications and platform capabilities end to end. Design APIs, relational database schemas, and distributed systems with strong observability and monitoring. Partner with product stakeholders, participate in code and design reviews, mentor engineers, and raise engineering standards. The role requires onsite work in Chicago and involves developing telematics technology for trailer safety, cargo security, and transportation visibility.
Top Skills:
AWSDistributed SystemsGCPInstrumentationJavaKotlinMonitoringObservabilityPythonRelational DatabasesRest Apis
Edtech • Information Technology • Professional Services
Tenure-track faculty member responsible for undergraduate Computer Science teaching, advising, scholarly or professional activity, and departmental and college service. The professor may teach programming, algorithms, architecture, operating systems, databases, software engineering, cybersecurity, AI and machine learning, or data science. The role may also develop courses, support undergraduate research, and contribute to Benedictine College’s Catholic, liberal arts mission.
One Month AgoSaved
Food
Engineering interns gain hands-on manufacturing experience through engineering, operational, and continuous improvement projects. They analyze problems, evaluate data, develop practical solutions, collaborate with cross-functional teams, own projects, and present results to leaders. The program seeks engineering students with initiative, leadership potential, problem-solving ability, communication skills, teamwork, adaptability, and interest in manufacturing and operations. Interns must work in a physically demanding manufacturing environment and be willing to travel and relocate for future opportunities.
Artificial Intelligence • Healthtech • Software • Biotech
Leads end-to-end technical implementations of digital pathology solutions, including environment configuration, integrations, data migrations, testing, go-live stabilization, and troubleshooting across application, infrastructure, networking, storage, identity, and database layers. Develops deployment automation, identifies risks, mentors engineers, improves implementation standards, and collaborates with customers, architects, project managers, Product, Engineering, and Support.
Top Skills:
AnsibleAWSAws S3AzureAzure Blob StorageBashCertificatesDicomDnsDockerFhirFirewallsGitHl7Identity And SsoKubernetesLinuxLisNfsPowershellProxiesPythonRbacRelational DatabasesRest ApisSQLSsl/TlsTerraformWindows
Artificial Intelligence • Software • Cybersecurity
Own end-to-end quality for new features across the operator portal, backend platform, and endpoint agent. Translate requirements into runnable acceptance coverage, build and maintain parallel browser test frameworks, validate APIs and contracts, and integrate suites into CI release gates. Curate automated and AI-generated scenarios, assess test risk, report coverage and failures, and close quality gaps. The role also drives adoption of shared tooling and may involve containerized environments, cloud platforms, virtualization, performance testing, and security product testing.
Top Skills:
AWSAzureDockerGCPGithub ActionsGitlab CiJenkinsOpenapiPackerPlaywrightPostmanPytestPythonQemu/KvmSeleniumTypescriptVMware
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