JOB SUMMARY

Architect, implement and improve our AI platform and applications built for the Multifamily industry.

REQUIREMENTS

As a Product Engineer at Travtus you will design, implement and improve our backend infrastructure. We are particularly interested in hearing from Engineers who have designed secure backend platform-based systems and have an excellent knowledge of modern cloud architectures, particularly AWS.

MUST HAVE REQUIREMENTS:

• Strong product focus, owning end-to-end feature development and testing
• Extensive Python experience in architecting products, platforms or microservices
• Experience with API developmentHands-on experience with AWS cloud services

NICE TO HAVE EXPERIENCE

• Hands-on experience utilising AI tools
• Experience with TDD and an understanding of Contract testingExperience with CI/CD pipelines and strategies

ABOUT THE ROLE

As one of a highly collaborative cross-functional team, you’ll be able to shape the technical architecture, product, and culture of Travtus. This role would be an excellent fit for someone who wants to help shape a growing business, providing input on all aspects of the business with a focus on product design, development and delivery.
You should love shipping to customers. Nothing we build matters if it isn’t solving problems for our customers, and you love learning. Engineering is ever-changing. You enjoy exploring areas that you might not have experience with yet. You will be keen on developing clean and maintainable code and mentoring other developers in achieving the same.
Most of all, you will enjoy working with a great team and be passionate about the work you do.
Our Product Engineers work across the technical stack, designing and implementing the solutions that become indispensable to our clients.

TASKS INCLUDE:

• Python Development: Deliver projects in Python, ensuring high performance and scalability
• Deep collaboration: Work with cross-functional teams to align on goals and deliver results
• Generative AI & ML: Integrate Gen AI solutions and explore machine learning for business applications
• System Architecture: Design scalable, secure platform-based architectures (microservices, event-driven, etc)
• Large-Scale Data Handling: Build systems to manage and process large data volumes efficiently
• API Development: Design secure, scalable APIs
• AWS Cloud Expertise: Architect and deploy systems using AWS services (Lambda, API Gateway, S3, etc)