Technical Lead

7-ElevenIrving, TX

About The Position

This role focuses on building and supporting fuels back-office systems that power 7‑Eleven’s wholesale, fleet, supply, accounting, and transportation operations. As Technical Lead for Fuels Supply, you will design, build, and optimize the Supply Integration Hub, a core platform orchestrating data and workflows across the fuels supply chain. You’ll also lead the implementation and integration of the Right Angle ETRM platform and the BestBuy supply optimization solution. This is a senior, hands-on individual contributor role where you guide engineers through architecture and technical decisions while partnering closely with vendors, business stakeholders, and engineering leadership, with an emphasis on strong engineering fundamentals and rapid domain learning.

Requirements

  • Bachelors/4 Yr Degree
  • 6-8+ years of relevant work experience
  • 8+ years of hands-on software development experience designing and building enterprise applications.
  • Strong proficiency in Java Spring / Spring Boot, and at least one of: Node.js, React/Angular, or Python.
  • 5+ years of experience with large-scale microservice architectures and container orchestration (Kubernetes, Docker, Azure EKS).
  • 5+ years working with relational and/or non-relational databases (PostgreSQL, MS SQL, MongoDB).
  • Demonstrated experience building event-driven applications using Kafka, message queues, or similar technologies.
  • Solid understanding of RESTful API design, OAuth/OIDC security patterns, and service mesh concepts.
  • Experience with cloud platforms (Azure preferred; AWS or GCP acceptable).
  • Strong understanding of MVC/MVVM/MVP design patterns and SOLID principles.
  • Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps) and Git-based version control.
  • Proven ability to lead technical teams without formal management authority — influencing through expertise and collaboration.
  • Excellent written and verbal communication skills.
  • Ability to understand business requirements and translate them into technical designs and actionable engineering plans.

Nice To Haves

  • Azure/AWS Certifications
  • SAFe/Scrum certifications

Responsibilities

  • Lead solution design and architecture for the Supply Integration Hub and related fuels supply applications.
  • Own technical decisions for cloud-native microservices, API integrations, event-driven pipelines, and data flows between internal systems and external platforms (Right Angle, BestBuy, OPIS, DTN).
  • Actively contribute production code in Java Spring / Spring Boot, Node.js, React, or Python.
  • Build and maintain RESTful APIs, Kafka-based messaging, and ETL pipelines that power the fuels supply ecosystem.
  • Drive integration architecture between the Supply Integration Hub and COTS platforms.
  • Collaborate with vendor implementation teams to define interface contracts, data mappings, and reconciliation processes.
  • Establish and enforce coding standards, design patterns (MVC/MVVM), and peer-review practices.
  • Champion test-driven development, automated testing, and CI/CD best practices.
  • Mentor engineers on modern engineering practices, cloud architecture, and domain-specific knowledge.
  • Conduct architecture reviews, pair programming sessions, and knowledge-sharing forums.
  • Design and maintain cloud infrastructure on Azure/AWS, including container orchestration (Kubernetes/EKS), infrastructure-as-code, and observability (monitoring, alerting, logging).
  • Guide data modeling, query optimization, and performance tuning across PostgreSQL, MS SQL, and NoSQL data stores.
  • Ensure data integrity across the supply chain data landscape.
  • Participate in and support Agile/Scrum ceremonies.
  • Provide effort estimates, decompose epics into stories, and ensure predictable, high-quality delivery across sprints.
  • Translate complex technical concepts for business partners and leadership.
  • Communicate risks, trade-offs, and progress with clarity and transparency.
  • Stay current with emerging technologies including AI/ML, contribute to internal engineering communities, and champion experimentation that improves developer productivity and platform capabilities.
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