Duration of assignment?
Any opportunity for conversion or extension?

6 months/ extends as budget supports

What is your team's main responsibility?

We are the Priceless Platform Engineering team, building and operating solutions for affluent Mastercard cardholders across World, World Elite, and World Legend products. Operating with a startup mindset, the team requires multidisciplinary engineering skills spanning front-end, backend, cloud, platform, and AI-native engineering. We run the global Priceless Platform on AWS across four regions.

The team is primarily responsible for Cloud, Backend, and AI-native Engineering, requiring strong hands-on AWS expertise and backend engineering experience building microservices in Golang and deploying them on Amazon ECS using Fargate on ARM64 architecture. The role also involves integrating mobile SDKs with backend APIs and troubleshooting complex end-to-end integration issues across mobile front ends, backend microservices, AWS ECS, and AgentCore Runtime environments. AI-native engineering experience with Amazon Bedrock and AgentCore is an important part of the team's evolving technology foundation.

Expected hours/time zone:
Will this position require overtime?

Standard CST business hours between 8AM to 5PM
Overtime is not expected; however, engineers should have some flexibility occasionally, as needed, to work later in the afternoon to collaborate with the core team based in San Francisco and operating on Pacific Time.

Is there be any travel involved?

YES

What are your top 3 required skills?

1. Build scalable, domain driven microservices using Golang and Python FastAPI, integrating backend APIs with mobile SDKs to establish a reliable orchestration layer.
2. Deploy and operate cloud-native services on AWS ECS, Fargate, and ARM64 on AWS Graviton, with hands-on infrastructure provisioning and automation using CloudFormation and Terraform.
3. Build and integrate AI-native capabilities using Amazon Bedrock and AgentCore Runtime, with end-to-end troubleshooting across mobile, backend, cloud infrastructure, and AI runtime layers.

Note: This role will focus on rapid POCs and prototyping, working closely with engineers from a Mastercard-acquired startup and provide broad access to AWS Cloud and AI environments for hands-on experimentation. The engineer is expected to independently build, deploy, run, troubleshoot, and demonstrate end-to-end solutions to internal and external stakeholders.

Level of Competency:
[Foundational, Intermediate, Advanced or Expert]

Advanced

Who is interviewing, what format, and are two rounds to be expected?

2 Rounds