Software Engineer, Internal Tools

North is hiring its first Internal Tools Engineer to build reliable, reusable systems, automations, and tools that help teams operate more efficiently. The role owns solutions from identifying workflow problems and designing technical approaches through production deployment, maintenance, and improvement.

Responsibilities:

• Build internal tools from end to end. Design, develop, deploy, and maintain applications and services that help North’s teams operate more efficiently
• Automate manual workflows. Identify repetitive or time-consuming processes across the company and replace them with reliable software and automation
• Build AI-enabled workflows. Use LLMs, APIs, agents, and other AI technologies where they can meaningfully reduce manual work or improve decision-making
• Connect our systems. Build integrations between the platforms North uses across engineering and the broader organization, creating reliable data and workflow connections between them
• Build Python services and APIs. Develop maintainable backend services that power internal applications, integrations, and automations
• Create internal interfaces. Build lightweight dashboards, applications, and interfaces that make internal systems intuitive for non-engineering users
• Design reusable systems. Build service layers, libraries, abstractions, and integrations that can support multiple workflows instead of solving the same problem repeatedly
• Own architecture decisions. Determine the right technical approach for new tools and automations, including when to build, integrate, automate, or keep a process manual
• Own tools in production. Monitor, debug, maintain, and improve the systems you build as workflows and business requirements evolve
• Build for reliability. Implement strong testing, observability, error handling, permissions, and guardrails so internal automations can be trusted
• Work directly with internal users. Understand how teams actually work, translate their problems into technical requirements, and iterate based on feedback
• Experiment quickly. Prototype new approaches—including AI-powered solutions—while knowing when an experiment needs to become production-quality software

Requirements:

• 3–7 years of software engineering experience building and shipping production systems
• Strong Python experience and the ability to write clean, maintainable, idiomatic code
• Experience building backend services, APIs, integrations, or internal applications
• Strong understanding of REST APIs, webhooks, authentication, and working with third-party platforms
• Experience automating workflows or building tools that meaningfully reduced manual work
• Ability to take an ambiguous operational problem and independently turn it into a technical solution
• Experience designing and operating production systems rather than only building prototypes
• Ability to write reusable code and abstractions instead of relying on one-off scripts
• Strong fundamentals around Git workflows, code review, testing, and collaborative software development
• Strong critical thinking skills—you reason from first principles, evaluate tradeoffs, and can explain why you chose a particular approach
• Pragmatic use of AI and LLM coding tools: you use them to move faster while still understanding the code, architecture, and tradeoffs behind what you ship
• Strong testing discipline and an understanding that internal tooling still requires reliability, security, and maintainability
• Strong communication skills and the ability to work directly with both technical and non-technical stakeholders
• Comfort operating independently in a fast-moving environment where priorities can change quickly
• A builder mentality—you naturally notice inefficient processes and start thinking about how software could make them better
• Experience building AI-powered internal tools, agents, or LLM-based workflows
• Experience with LLM APIs, prompt engineering, tool calling, RAG, or agentic systems
• Experience with workflow automation platforms such as n8n, Zapier, or similar tools
• Experience building internal admin panels, dashboards, or lightweight frontend applications
• JavaScript or TypeScript experience
• Experience integrating SaaS platforms across functions such as engineering, sales, recruiting, finance, or operations
• Experience with AWS and cloud infrastructure
• Infrastructure-as-code experience with tools such as Terraform
• Experience with databases, data pipelines, or event-driven architectures
• Experience in a startup or similarly fast-moving environment
• Experience owning an internal platform or tool from initial problem discovery through ongoing production support
• Outstanding recognition in competitions, technical projects, open-source work, or business ventures