Kunai is a fast-growing digital consultancy focused on banking, payments, and fintech powered by a global network that attracts the best and brightest people from all backgrounds and cultures, driven by innovation and experimentation, spread across almost every single continent. Over the past decade, weve shipped over 150 products for clients that include Visa, American Express, Capital One, WEX, Wells Fargo, Ernst & Young, and TOMS Shoes. Our founders built a previous agency (Monsoon) that was acquired by Capital One in 2015.

On the forefront of Kunai’s recent efforts is building a suite of next generation automation platforms and tools that will be instrumental in enabling repeatability, stability and quality for multiple development teams across a partner bank. In this role, you’ll work on a SCRUM team that will own products and services end to end, from intent refinement to development to production support. You will build and support new feature builds for the larger transformation within the Fraud Prevention organization, involving a bespoke microservices-based architecture in Python that can scale like never before.

Basic Requirements:

5+ yrs working in a production environment in any language, with 3+ yrs writing backend services in Python
production-ready experience with AWS, specifically Step Functions and Lambdas, and deep understanding of how they work together in distributed systems
3+ yrs hands-on with IaC, either Terraform, CloudFormation, or AWS CDK
experience with automating pipelines in either AWS or GCP

Nice to haves:

Java and Spring Boot
experience in automated testing, end to end testing, or integration testing

This role is remote but core working hours align to EST. The salary range for this position is $155,000 - $170,000 per annum. A slightly higher range is available to residents of NYC.

At Kunai, we have built deep relationships with our clients. Our bar is high, and our mission is to always exceed our client’s expectations. If you are fanatical about customer success and driven to work on and solve tough technical challenges, we would love to chat with you!