Senior Software Engineer (Node.js, TypeScript)

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development skills with Node.js and TypeScript , including experience designing and building APIs or microservices. Comfort contributing to technical design discussions and taking ownership of complex features or services end to end. Hands-on experience with AWS - or other - cloud-native development, automated testing, and deployment practices that support reliable delivery. Comfort working with SQL databases, Git, Docker-based workflows, and modern CI/CD pipelines. Practical understanding of AI-assisted engineering tools and broader LLM concepts , with the judgment to use them responsibly with privacy, security, cost, and quality in mind. Clear communication skills, a collaborative mindset, and experience supporting or mentoring other engineers within a product engineering team. It would be great if you had these too, but we’ll support you if you don’t: Familiarity with infrastructure as code, for example CDK or Terraform. Exposure to observability tooling, incident response, or production monitoring practices. <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"