Senior Full Stack Software Engineer

ROCKET SCHOOLS LLC
United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$175,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Performance Management Automation of Tests Microsoft Azure Code Review Continuous Integration Cursor (Graphical User Interface Elements) Software Debugging DevOps
+37 more
Distributed Systems Fault Tolerance Github Node.Js NoSQL Reliability Engineering Software Tools Standard Sql Software Deployment Software Engineering TypeScript Web Application Frameworks Datadog Google Cloud Performance Testing Spring Cloud GitHub Copilot ReactJS Grafana Prompt Engineering Media Technology Vue.js Containerization Kubernetes Infrastructure Automation Frameworks Information Technology Deployment Automation Build Tools Graphql Api Design Restful APIs Terraform Splunk New Relic (SaaS) Serverless Computing Docker Jenkins

Job description

Join an innovative technology, information and media organization developing cloud-native platforms that connect millions of consumers with valuable products, services, and experiences. This opportunity offers the chance to shape scalable, high-availability software while working across the full development lifecycle in a remote-first environment. As a Senior Full Stack Software Engineer, you will influence technical direction, apply AI-first engineering practices, and build systems capable of supporting significant transaction volumes., * Partner with Product and Design to translate business requirements into technical designs, specifications, and implementation plans.

  • Build scalable full-stack applications using Node.js, JavaScript, TypeScript, Vue.js, React, and cloud-native technologies.
  • Design reusable APIs, services, integration patterns, and distributed application architectures.
  • Develop serverless and containerized applications designed for performance, security, resilience, observability, and maintainability.
  • Leverage AI-assisted development, coding agents, automated testing, code review, and engineering workflows throughout the software development lifecycle.
  • Own automated testing, CI/CD, production deployment, monitoring, incident response, troubleshooting, and root-cause analysis.
  • Participate in architecture reviews and code reviews while validating AI-generated solutions against engineering standards.
  • Collaborate with cross-functional teams, remove technical blockers, document solutions, and continuously improve product quality and reliability.

Requirements

  • 8+ years of hands-on software development experience, with strong proficiency in server-side JavaScript or TypeScript using Node.js.
  • Production experience with modern frontend frameworks such as Vue.js and/or React.
  • Deep understanding of JavaScript, TypeScript, API design, distributed systems, and scalable application architecture.
  • Experience working with SQL and NoSQL databases in production environments.
  • Experience designing and consuming RESTful APIs and GraphQL services.
  • Hands-on experience building and operating cloud-native applications, along with automated testing, CI/CD, observability, and DevOps practices.
  • Experience using AI-powered software development tools such as Cursor, Claude Code, GitHub Copilot, or comparable coding agents across multiple stages of development.
  • Strong judgment to evaluate, test, secure, and improve AI-generated code and solutions.
  • Demonstrated ownership of features or services from technical design through production operations and continuous improvement.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience.

Nice-to-Have Skills:

  • Experience with Google Cloud Platform, AWS, Azure, serverless platforms, containers, Docker, or Kubernetes.
  • Familiarity with infrastructure as code, Terraform, GitHub Actions, Jenkins, or other modern deployment automation tools.
  • Experience supporting high-traffic, consumer-facing, transactional, or high-volume systems.
  • Knowledge of observability platforms such as Datadog, New Relic, Splunk, Grafana, or OpenTelemetry.
  • Experience with performance testing, application performance monitoring, fault tolerance, and production reliability engineering.
  • Familiarity with advanced AI development workflows, prompt engineering, context engineering, AI testing, agentic development, or AI-assisted debugging.
  • Experience developing reusable components, services, architecture patterns, and developer productivity automation.
  • Background in e-commerce, direct-to-consumer platforms, media technology, or experience marketplaces.

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