Backend Engineer | AI Augmented Development

Do you want to rebuild and scale a KYC platform that processes high-impact business data? At Company.info, you'll design and build backend systems that power data-driven decisions in finance, compliance, and risk. You'll have real influence on architectural choices and engineering standards. We value technical depth, clean design, and long-term maintainability over quick hacks. Your Role

• Rebuild and scale our KYC workflow platform

• Shape AI-augmented development standards within the backend chapter

• Contribute to architectural decisions and system reliability What You'll Do

• Build and maintain scalable backend services in Golang

• Design APIs and event-driven systems in AWS

• Contribute to technical roadmap and engineering standards

• Improve and guide AI-assisted development practices

• Set up monitoring, CI/CD, and infrastructure as code

• Own services in production: testing, performance, reliability, and incident handling What You'll Get

• Salary between €95,000 and €110,000 (incl. holiday allowance)

• Annual bonus

• Excellent pension scheme with optional personal contribution

• Hybrid working model (2-3 days per week in our Amsterdam office)

• 25 vacation days

• Personal development budget for courses and conferences

• Hardware of your choice

• Daily fresh fruit Team and culture You'll join a Product & Tech department of around 40 people, working in small multidisciplinary teams with end-to-end ownership. There's little hierarchy and plenty of room for initiative. Engineers drive technical decisions and are trusted to take responsibility from idea to production. We move fast, care about quality, and aim for simple, scalable solutions. The atmosphere is informal and involved. We celebrate wins together, organize team events, and end the week with drinks.

• 5+ years of backend engineering experience (strong in Golang; Java is a plus)

• Experience with API architecture and microservices

• Experience with AWS or similar cloud platforms

• Extensive hands-on experience with AI-assisted development, including a clear vision on tooling choices, code quality, and responsible use

• Experience with relational databases Nice to have

• Experience with event-driven architectures

• Kubernetes and containerization experience

• Infrastructure as Code (Terraform or CloudFormation)

• Experience mentoring or coaching engineers

• Familiarity with workflow engines like Temporal or Argo