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RampRampNew York, NY

Backend Engineer, Ops

Builds full-stack internal tools and backend services for operations teams, integrating Retool, Zendesk, and AI for automation and efficiency. Requires 5+ years experience with Python/TypeScript, full-stack frameworks, APIs, databases, and AI technologies.

168k – 285k/yr
Hybrid5+ YOEBackend Engineering

About the role

What You'll Do

  • Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences
  • Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance
  • Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows
  • Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools
  • Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility
  • Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems
  • Write clean, maintainable, and well-tested code following software engineering best practices
  • Participate in code reviews, mentor team members, and contribute to the growth of engineering culture
  • Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback
  • Participate in an On Call rotation to resolve critical issues impacting internal users

What You'll Need

  • 5+ years of software engineering experience building and shipping production applications
  • Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar
  • Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend)
  • Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.)
  • Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems
  • Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems
  • Strong product sense and user empathy, with ability to translate business requirements into technical solutions
  • Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices

Nice-to-have: Experience with platforms like Retool, Zendesk, or similar internal tooling platforms

Skills

PythonTypeScriptNode.jsReactNext.jsPostgresRedisAWSRetoolZendesk
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