Senior Software Engineer

Summary

Join DoiT as a Senior Software Engineer and contribute to the improvement and development of the DoiT Cloud Intelligence product. This remote role, based in the UK, Ireland, Estonia, the Netherlands, Sweden, or Spain (with contractor options in Eastern Europe and Portugal), involves collaborating with various teams to build and optimize AI and cloud-based solutions. You will focus on enhancing features like Ava (AI Assistant) and Diagram, while tackling complex technical challenges. Responsibilities include implementing features, reviewing code, improving the codebase, and providing feedback. The ideal candidate possesses 5+ years of full-stack software development experience, expertise in cloud platforms (Google Cloud or AWS), and strong communication skills.

Requirements

• 5+ years of software development experience as a Full Stack Engineer
• A solid understanding of programming languages, ideally knowledge of TypeScript and Go, but if you don’t, you will be willing to learn and fully embrace these languages
• Experience with Google Cloud or AWS in  a production environment
• Experience in system design
• Embraces continuous development and learning
• Knowledge of software engineering practices
• Experience with Git/GitHub
• Excellent communication skills in English, both written and verbal
• Self-organized, Goal-oriented, self-motivated individual who is confident, thorough, and tenacious
• Ability to effectively operate with flexibility in a fast-paced, constantly evolving team environment
• A great sense of humor and enjoys having fun at work

Responsibilities

• Implementing features . From the proposal through spec and implementation to maintenance. You're expected to propose things that you think can be an excellent addition to the products
• Reviewing code . We believe in code reviews. And you will soon start reviewing pull requests as well!
• Improving the health of the codebase . We’re mindful of accumulating technical debt. We dedicate one day per week to housekeeping
• Providing feedback . The team plans and discusses the upcoming work. We provide feedback to each other, trying to find challenges and unknowns as early as possible

Preferred Qualifications

• BA/BS degree or equivalent practical experience
• Experience with AI, embeddings, LangChain, LangGraph, agents, and MCP
• Experience with a vector database
• Experience with IaC (Terraform/Pulumi)

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program