Senior Backend Engineer

At Package.ai, we’re building the future of how retailers engage with their customers across all phases of the customer journey. From the first chat on the website, through the post-purchase experience of delivery and through to the next sale.

Our mission-critical SaaS platform is used by over a hundred retailers of all sizes to manage their customer interactions and optimize their fulfillment operations. Our revolutionary platform provides consumers with an excellent experience, while improving efficiency and sales for our customers. 

We've achieved great product market fit, are growing in revenue every year and this is a great time to join as we scale operations.

We are looking for a brilliant Senior Backend Engineer to join our team and take a major part in developing our backend platform. The position is a core member of engineering and the company as a whole. Our R&D group is still small and every member makes a huge difference.

Come join us and be a major contributor as we scale from hundreds to thousands of happy customers.

About You:

When you think of yourself, you know you are:

• Confident - you love responsibility and challenges
• Independent - you don't need (or want) to be spoon-fed everything
• Passionate about coding - you love software engineering and view it as a craft 
• Product-oriented - you excel at seeing the broader context, understanding how your work impacts both the product and the customer.

What you'll do:

• Take a major role in developing our backend platform
• Own the full lifecycle - from architecture, design, and implementation to deployment and monitoring
• Write massive amounts of code
• Work on diverse subjects, technologies and challenges. We promise you won’t be bored.

Requirements:

• 4+ years of backend production experience with Kotlin / Java / Scala (Kotlin is a strong plus)
• Hands-on experience with NoSQL databases and relational databases
• Extensive experience with AWS
• Experience with containerization technologies (Docker, Kubernetes)
• Passionate about software engineering and craftsmanship
• Advanced proficiency in written and spoken English
• Experience with DevOps, CI/CD tools - advantage
• Experience with algorithms / machine learning / NLP - advantage