Senior 55qkA StH5RS9V yYwAD82k — Dallas, TX

UbeGA rktsUjan – LPM / Program Experiences

Focus: Rust, AWS, Microservices Architecture, Agentic AI Workflows, and Technical Leadership

Location: Dallas, TX or Miramar, FL

Position Overview

We are seeking an experienced, hands-on qHp8G SBNYEdKc jSahMPdq to provide technical leadership and establish long-term engineering ownership of the LPM and Program Experiences platforms, with an immediate focus on Program Builder and Trade Hub readiness.

The ideal candidate will have a strong background in backend engineering, distributed systems, microservices architecture, AWS cloud technologies, and Rust development, along with experience designing reusable services that support multiple applications and engineering teams.

This role requires an engineer who can balance hands-on development with architectural decision-making, drive platform modernization, improve system reliability, and reduce production support overhead. Experience with agentic AI workflows and modern AI-assisted engineering tools is highly desirable.

Key Responsibilities

• Technical Ownership & Leadership: Establish and maintain technical ownership of LPM and Program Experiences, providing architectural direction, engineering standards, and guidance across development teams.

• Microservices & Distributed Systems: Design, develop, and maintain scalable, reusable microservices and shared backend services consumed by multiple applications and engineering teams.

• Backend Engineering: Lead hands-on development of high-performance backend services, primarily using Rust and modern cloud-native technologies.

• AWS Cloud Architecture: Design and implement reliable, secure, and scalable services leveraging AWS infrastructure and cloud-native architecture patterns.

• Platform Modernization: Drive technical improvements across Program Builder, Trade Hub, and related systems to improve maintainability, performance, and long-term scalability.

• Agentic AI & Automation: Explore and implement agentic AI workflows, AI-assisted development tools, and automation capabilities to improve engineering productivity and delivery efficiency.

• API Design & Integration: Develop and maintain RESTful APIs, service integrations, and event-driven architectures supporting cross-platform functionality.

• Production Reliability: Identify recurring production issues, improve observability, optimize system performance, and implement sustainable solutions that reduce operational support requirements.

• Cross-Functional Collaboration: Partner with architects, product owners, engineering teams, and business stakeholders to translate business requirements into scalable technical solutions.

• Engineering Best Practices: Champion code quality, automated testing, CI/CD practices, technical documentation, and secure software development standards.

Required Qualifications

• Extensive experience in software engineering, including significant hands-on backend development and technical leadership.

• Strong experience designing, developing, and deploying microservices and shared services used across multiple teams or applications.

• Hands-on experience with Rust and backend service development.

• Strong knowledge of AWS services, cloud infrastructure, and distributed application architecture.

• Proven experience designing scalable APIs, service-to-service integrations, and distributed systems.

• Experience establishing technical standards, making architectural decisions, and guiding engineering teams.

• Strong understanding of cloud-native development, system reliability, performance optimization, and production troubleshooting.

• Experience with CI/CD pipelines, automated testing, and modern software delivery practices.

• Ability to independently evaluate technical challenges, recommend improvements, and implement solutions that reduce technical debt.

Preferred Qualifications

• Experience with agentic AI workflows, AI coding assistants, and AI-driven development automation.

• Working knowledge of JavaScript or TypeScript, particularly for integrating backend services with web applications.

• Experience with AWS Lambda, ECS, EKS, API Gateway, and other cloud-native services.

• Familiarity with event-driven architectures, asynchronous processing, and messaging systems.

• Experience building internal enterprise platforms, shared APIs, or reusable engineering services.

• Knowledge of observability tools, monitoring frameworks, and production incident management.

• Experience modernizing legacy systems and improving engineering productivity across multiple teams.

Ideal Candidate Profile

The successful candidate will be a technically strong, hands-on UbeGA rktsUjan who combines deep backend engineering expertise with architectural leadership.

They should have a proven track record of building microservices and reusable services that are adopted across multiple engineering teams, rather than solely developing features within a single application.

This individual will be comfortable owning complex systems, making independent technical decisions, mentoring engineers, and driving improvements that increase development velocity while reducing production support demands.

Experience with Rust, AWS, and emerging agentic AI technologies will be particularly valuable as the organization continues to modernize its engineering platforms.