Top Remote Javascript Jobs in San Diego, CA

Build and scale backend or full-stack services supporting prescription intake, processing, fulfillment, inventory optimization, billing, benefits, and clinical workflows. Design resilient, maintainable, high-throughput systems; integrate automation, LLMs, predictive models, and service-oriented architectures; optimize pharmacy and supply chain operations; troubleshoot production issues; establish engineering best practices; and mentor other engineers.

Owns administration, development, governance, upgrades, integrations, and support for ServiceNow and related business systems including NetSuite and Arena PLM. Builds workflows, scoped applications, automations, APIs, and system integrations; maintains data quality and CMDB integrity; supports testing and production releases; and partners with operations, service, engineering, supply chain, and finance stakeholders to deliver scalable solutions.

Lead frontend and full-stack engineering, architect scalable features, integrate APIs and cloud services, optimize rendering and performance, establish engineering standards, conduct code reviews, and mentor developers. Collaborate with product, UX, and backend teams to deliver user-focused software while managing priorities in an ambiguous environment.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Develop and support customer integrations by designing workflows across the core product and external platforms such as QuickBooks, Salesforce, and NetSuite. Translate customer requirements into complete solutions, deliver projects on schedule, maintain project documentation, resolve technical challenges, communicate roadblocks, and mentor team members. The role requires API experience across multiple products, scripting expertise, strong communication, adaptability, and attention to detail.

Designs and maintains automated test frameworks for Keeper Secrets Manager APIs, SDKs, integrations, and cloud services. Builds API, integration, and end-to-end tests; integrates automation with CI/CD pipelines; manages Docker and Kubernetes test environments; validates authentication workflows; analyzes failures; and partners with engineering and DevOps teams to improve system testability, reliability, and security.

Build and own UI features for Netflix’s TV application across streaming sticks, smart TVs, and cable boxes. Collaborate with product, design, algorithm, and engineering teams to create and refine consumer experiences. Develop TypeScript and JavaScript features using React and Redux, optimize for performance- and memory-constrained devices, conduct A/B testing, and write automated tests using Jest-based frameworks.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

Develop and maintain web-based applications using .NET/C#, JavaScript, HTML/CSS, SQL and Oracle/SQL Server. Perform root cause analysis, collaborate with teams for requirements, follow Agile SDLC, present change demonstrations, and use Azure DevOps/Jira for lifecycle management. Implement and maintain Blazor components.

Design, develop, and maintain scalable web services for a B2B SaaS application. Write tested code primarily in Go, manage PostgreSQL schemas and queries, and research AI-powered tools for software development and CI/CD optimization. Collaborate with product, design, and engineering teams to deliver user-focused solutions. Mentor engineers, promote best practices, and contribute to technical excellence.

Designs, develops, and integrates business applications across Dynamics 365, Power Platform, Azure, and custom Microsoft-stack solutions. Responsibilities include solution architecture, application customization, APIs and event-driven integrations, platform modernization, ALM, CI/CD, deployment pipelines, and production support. The role also establishes engineering standards, evaluates technologies, collaborates with technical and business teams, and mentors junior staff.

Leads the design, development, architecture, and maintenance of scalable software systems. Provides technical leadership, conducts code reviews, ensures development best practices, and mentors junior engineers. Collaborates with technical and non-technical stakeholders to deliver reliable solutions supporting clinical decision-making and patient outcomes.

Develop and customize Salesforce solutions using Apex, Visualforce, Lightning, Aura, SOQL, JavaScript, and triggers. Configure Salesforce objects, workflows, reports, dashboards, security, and administration across Sales, Service, and Community Cloud. Build integrations using REST, SOAP, WSDL, and Salesforce APIs; manage data migration, testing, troubleshooting, and deployments. Collaborate with U.S.-based business and IT stakeholders while supporting production systems.

Lead a hands-on platform engineering function spanning full-stack product development, real-time Kafka and ClickHouse data/ML pipelines, cloud infrastructure, DevOps, security, and reliability. Own React, Node.js, and MongoDB applications; Terraform, Kubernetes, AWS/GCP, Docker, and GitHub Actions; production observability and incident response; and SOC 2 readiness. Establish AI-assisted engineering workflows using tools such as Claude Code and Cursor while replacing vendor-built infrastructure with durable internal automation.

Lead end-to-end development of scalable web applications using Node.js, React, MongoDB, and Google Cloud. Build analytics, identity resolution, personalization, integrations, and advanced visualizations using AI-assisted, spec-driven workflows. Develop LLM integrations, configure AI agents, maintain MCP servers, automate testing and CI/CD, and support observability. Serve as a Feature Lead by guiding architecture, technical specifications, documentation, and cross-functional communication.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Administer and support the ServiceNow platform and related enterprise systems. Responsibilities include configuration, performance and capacity monitoring, user and access management, patching, troubleshooting, integrations, operational readiness, documentation, incident analysis, and backup and disaster recovery testing. The role provides Tier 2 user support and collaborates with developers, architects, and business analysts in a remote federal environment.

Design, execute, and analyze functional, regression, integration, system, and performance tests for a web-based observability platform. Create test plans and cases, track defects, collaborate with developers and product, improve QA processes, and potentially build/maintain automated tests. Participate in Agile ceremonies and investigate root causes to ensure timely resolution.

Lead the evolution of Seeq’s frontend infrastructure, including React systems, component libraries, state management, styling architecture, and reusable application patterns. Drive large-scale refactors, improve developer experience, ensure accessibility and performance, evaluate open-source tools, and establish technical standards adopted across teams. Collaborate with designers, product teams, and engineers through architecture reviews, documentation, code reviews, mentoring, and cross-team delivery.

Leads end-to-end software development for AI-infused enterprise applications, including architecture, database design, coding, testing, deployment, and service reliability. Builds Copilot and agentic solutions using Azure and modern full-stack technologies. Provides technical leadership, mentors engineers, establishes quality and security practices, supports enterprise integrations, and collaborates with product teams, program managers, UX designers, and data scientists to deliver scalable commercial software.

Leads architecture, technical strategy, and roadmap for Windows ML compiler infrastructure, execution runtimes, hardware acceleration, and developer tooling. Drives AI workload optimization across CPUs, GPUs, and NPUs; partners with hardware vendors and internal platform teams; solves complex systems challenges involving scheduling, memory management, code generation, graph optimization, and hardware abstraction. Provides technical leadership and mentorship while shaping on-device and generative AI execution strategy.

Develop and deploy cloud-native applications in Azure using Python, contribute to architecture and design, enhance existing software, conduct testing and code reviews, support CI/CD and DevOps practices, troubleshoot production issues, and collaborate with stakeholders. The role also involves defining technical solutions, evaluating scalability and performance trade-offs, partnering with solution architects, participating in on-call support, and mentoring junior software engineers.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering teams.