Application Architect (Shipment Domain)

Federal Express Corporation•Memphis, TN

4h•$8,007 - $18,150•Remote

About The Position

Under limited supervision, define processes, and create project level architectures for specific applications. You will be joining a highly collaborative group of developers, owners of highly utilized and important applications within supply chain operations and across all of FedEx. We are in the midst of an exciting modernization project that is key to operational success. Our team is at the beginning of an exciting journey finding new ways to integrate AI into our daily work lives. We are leveraging modern AI coding tools to accelerate development to designing intelligent, cloud-native systems that optimize how packages move. Our culture thrives on curiosity, continuous learning, and collective ownership. If you are looking for a supportive environment where you can use cutting-edge technology to solve complex real-world operational challenges, you'll fit right in.

Requirements

Deep understanding of modern application architecture patterns (e.g., microservices, event-driven architecture, API design).
Willingness to be hands-on with code—this role goes beyond diagrams and planning.
Strong, expert-level knowledge of Java development and its modern ecosystems.
Hands-on experience designing and deploying applications in Google Cloud Platform (GCP).
Comfortable using AI coding assistants (GitHub Copilot, Cursor, or similar) as part of your everyday workflow for learning, building, and documenting.
Strong communicator who can seamlessly connect with business stakeholders, vendor teams, and developers to translate business needs into technical solutions.
General knowledge of hardware, software, and network architecture dependencies.

Nice To Haves

AI Native knowledge and experience integrating AI/ML models into enterprise applications is a major plus.

Responsibilities

Architect scalable, resilient, and secure application ecosystems, leading the transition of legacy systems into modern, cloud-native architectures on Google Cloud Platform (GCP).
Drive architectural decisions, lead system design reviews, and establish coding standards and best practices for the engineering teams.
Work closely with business and data architects to evaluate products and projects, ensuring application designs align with strategic business initiatives and industry trends.
Use AI coding assistants (e.g., GitHub Copilot) as a natural part of your daily workflow to accelerate implementation, draft documentation, and make sense of unfamiliar codebases.
Ensure that all architectural designs and AI-assisted outputs are validated against enterprise needs, including security, compliance, performance, and reliability.
Actively mentor and support developers and less senior colleagues, fostering a culture of technical excellence.
Provide high-level technical advice and hands-on coding support to resolve complex production and integration challenges.