Top Remote Linux Jobs in San Diego, CA

Develop and implement ServiceNow applications, ITSM functionality, workflows, integrations, forms, and interfaces. Analyze requirements, design solutions, write and test code, document implementations, resolve production issues, and support development, QA, and user acceptance testing. The role also provides technical leadership, training, peer code reviews, platform administration, code-quality oversight, and collaboration with stakeholders using Agile and project-management methodologies.

Supports electrical construction projects by coordinating engineering, documentation, field testing, commissioning, procurement, scheduling, estimating, quality control, safety, and compliance. Maintains electrical drawings and project records in Procore, performs material take-offs, coordinates testing and as-built data, assists with schedules and billing, and supports permitting, subcontract agreements, change orders, and site meetings. Ensures compliance with electrical codes, OSHA, NFPA 70E, project specifications, and company safety requirements.

Investigate voice AI campaign and platform issues by analyzing calls, transcripts, logs, configurations, and integration data. Reproduce and document bugs, triage root causes, perform pre-launch and ongoing conversation QA, and develop test plans, regression suites, quality metrics, and automation. Collaborate with engineering, deployment, clinical, and nursing teams to improve agent behavior, workflows, handoffs, scheduling, and outcome capture.

Build and maintain scalable full-stack web applications using PHP, Laravel, React, Next.js, SQL, and related technologies. Own features from design through deployment and monitoring, develop APIs, optimize databases and legacy systems, troubleshoot performance issues, and contribute to code quality, security, and engineering practices. Collaborate cross-functionally in an agile, continuous-deployment environment while using AI-assisted tools responsibly.

Designs, develops, and supports scalable Salesforce Sales Cloud solutions for sales, operations, and customer success teams. Responsibilities include Apex, LWC, Flow, integrations, customer data management, AI-driven automation, CI/CD, release management, production troubleshooting, and technical leadership. The role requires deep Sales Cloud expertise, API integration experience, Copado, Git, SFDX, and advanced Salesforce automation skills.

Develop and enhance primarily front-end financial and benefits products using React, JavaScript, TypeScript, and Node.js. Build scalable web applications, APIs, integrations, and infrastructure; contribute to product requirements; write automated tests; troubleshoot production issues; and support secure, high-availability systems. Collaborate cross-functionally in an agile environment while working with databases and cloud technologies.

Manage and execute interconnection strategies for energy infrastructure, overseeing projects across multiple markets while coordinating with internal and external stakeholders.

Build and maintain AI-native skills taxonomies, capability models, learning context, instrumentation, and APIs for Databricks employees, customers, and partners. Develop LLM-driven extraction, agentic pipelines, drift and gap detection, and live capability measurement. Partner across content, curriculum, certification, product, and enablement teams to ensure technical skills are consistently defined, assessed, and applied. Use Python, SQL, analysis, and clear writing to advance strategy as an individual contributor.

Own enterprise customer technical cases from triage through resolution, troubleshooting Kubernetes, ECS, Docker, cloud infrastructure, deployments, connectivity, and CI/CD issues. Perform root-cause analysis, lead customer calls, build diagnostic scripts and tooling, contribute small product fixes, and document reusable runbooks. The role also includes occasional customer build engagements and collaboration with Product and Engineering.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.