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Senior Full Stack Software Engineer

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Remote

Senior Full Stack Software Engineer

Talently

Senior Full Stack Software Engineer

Skills

Google Cloud PlatformSQL QueriesE-commerce WebsitesDockerReactVueNodeTypescriptGraphQLJenkinsDatadogGrafanaSplunkAIAWSGitHubKubernetesJavascriptTerraformAzure

16 days ago

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Important information


Contract type:

Permanent

Salary:

$175,000 – $200,000 / year

Location:

Dallas, TX, USA

Work mode:

Remote

Published on:

5 October 2026

What they need


Job Title: Senior Full Stack Software Engineer

Location: Remote

Salary: $175,000-$200,000

About the Company / The Opportunity:

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.

Responsibilities:

  • 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.

Must-Have Skills:

  • 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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