Top Remote Javascript Jobs in Houston, TX

As a Fullstack Engineer, you'll drive user growth through performance-focused web experiences, leading frontend projects, and optimizing conversion funnels.

As a Software Engineer, you'll design, build, and maintain IAM solutions, ensuring security and reliability while working with cloud computing standards.

Lead and grow a frontend platform team owning Zocdoc's accessible React component library and design system. Define roadmap and technical strategy, drive adoption across web and mobile, institutionalize accessibility and quality, mentor engineers, partner with UX/Product/Analytics, and deliver platform improvements that speed frontend and mobile development.

Senior Software Engineer responsible for developing and maintaining web applications and microservices (React, Golang). Mentor team members, lead code reviews, influence technical decisions, improve CI/CD and testing strategies (unit, E2E, performance), collaborate across teams on integrations, and promote engineering best practices and documentation.

Operate and monitor MongoDB Atlas infrastructure, troubleshoot production incidents, automate monitoring and remediation, collaborate globally to reduce MTTR, participate in on-call rotations and second-shift weekend schedules, and support FedRAMP government environments.

Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.

Modernize a large fintech platform by building NestJS services and Next.js UIs, migrate transactional data to relational schemas, write comprehensive tests, identify and fix legacy problems, design scalable solutions that coexist with legacy systems, and use AI tooling responsibly to increase engineering velocity.

Develop, test, and maintain software across the full development lifecycle. Assist in requirements analysis, design, implementation, unit/system testing, code reviews, and product documentation. Collaborate with team leads, clients, and peers, contribute to sprint research projects, and maintain professional technical knowledge.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Design, deploy, and operate large-scale workflow orchestration platforms (Argo/Airflow/hybrid) for simulation, ML training, data pipelines and CI/CD. Build SDKs, abstractions, and self-service tooling; ensure reliability, observability, cost-efficiency, GPU and cross-cluster scheduling on Kubernetes across cloud and on-prem; integrate with storage, streaming, registries, and CI/CD; document best practices and mentor engineers.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Design and implement cloud-based solutions with customers; write and reuse code, produce design documents, decompose and estimate work, act as on-call DRI to monitor and restore services, collaborate with cross-functional teams, contribute to open-source, and stay current with engineering best practices.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Design, build, and maintain web application infrastructure and data systems for interactive information experiences. Lead application architecture, code quality, performance, and reliability; integrate generative AI and prototype XR interfaces; collaborate with designers and data scientists; ensure security, accessibility, scalability, and document technical standards.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Perform load, stress, and endurance testing across e-commerce storefronts, internal SaaS tools, and AI agent services. Design test strategies, execute tests with tools like JMeter/Gatling, analyze observability metrics, identify bottlenecks in Node.js/NestJS, PostgreSQL, and Redis, and integrate performance tests into CI/CD while collaborating with SRE and backend teams.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Leads functional and automated testing for complex modern, cloud-based applications. Develops test strategies, plans, cases, and automation for unit, API, integration, UI, performance, security, and regression testing. Validates Kafka-based workflows, microservices, serverless systems, data pipelines, and CI/CD releases. Partners with engineering and DevSecOps teams on defect prevention, security, observability, environment readiness, root-cause analysis, and operational quality. Maintains audit-ready documentation and communicates risks and recommendations to stakeholders.

Supports functional, exploratory, and automated testing for modern applications. Creates test cases, scripts, test data, and automated tests; validates APIs, integrations, messaging workflows, microservices, and user interfaces; documents results and defects; participates in triage, CI/CD testing, secure data handling, observability, and release documentation. Collaborates with product, development, DevSecOps, and operations teams while learning testing standards and delivery processes.

The Staff SDET will design and implement automated test frameworks using TypeScript, collaborate with developers, and enhance testing processes within CI/CD pipelines.

Provide technical and architectural leadership to the software development team, design software solutions, mentor team members, and drive projects to completion.

Lead end-to-end delivery of 2-3 large SaaS customer implementations, triage cross-functional issues, build repeatable tooling and processes, mentor teammates, and feed implementation learnings into Product and Engineering while advancing AI-enabled workflows.

The Senior DevOps Engineer will design and maintain infrastructure for AI Care applications, automate deployment processes, monitor performance, and lead incident responses while mentoring junior colleagues.