Engineering Team Lead

Vizient•Irving, TX

About The Position

Lead an engineering team responsible for designing, delivering, and operating scalable, high-quality software solutions that support critical business capabilities and customer experiences. Balance hands-on technical leadership with people leadership, maintaining strong engineering practices while fostering a collaborative, high-performing team. Partner with Product Management, Architecture, Security, Operations, and Delivery teams to align technical execution with business strategy, lead modernization initiatives, and ensure operational excellence. Apply strong technical judgment and systems thinking to guide teams through ambiguity and complex technical challenges while improving engineering effectiveness, quality, and reliability. Champion AI-assisted engineering practices, automation, and emerging technologies to improve delivery outcomes and productivity.

Requirements

Bachelor’s degree preferred or equivalent experience.
8 or more years of software engineering experience.
3 or more years of experience leading, mentoring, or managing engineering teams.
Strong experience with modern software development practices, including CI/CD, automated testing, DevSecOps, and application security.
Experience designing and delivering scalable distributed systems, APIs, integrations, and cloud-native applications.
Proficiency in one or more programming languages such as Java, Python, C#, JavaScript, or TypeScript.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Strong understanding of architectural patterns, system design, scalability, resilience, and performance optimization.
Experience implementing observability, monitoring, logging, and operational support practices.
Strong problem-solving, analytical, and troubleshooting skills.
Experience working in Agile environments and collaborating with cross-functional teams.
Ability to communicate technical concepts and architectural decisions to technical and non-technical stakeholders.

Nice To Haves

Experience with microservices, event-driven architectures, messaging systems, and enterprise integrations.
Experience leading modernization initiatives, reducing technical debt, and improving platform sustainability.
Ability to mentor engineers and develop future technical leaders.
Experience working with third-party vendors, outsourced engineering teams, or strategic delivery partners.
Familiarity with data platforms, analytics solutions, and distributed data processing technologies.
Exposure to AI-assisted development tools, automation platforms, machine learning workflows, or data-driven applications.
Passion for continuous improvement, innovation, and engineering excellence.
Health care supply chain experience.

Responsibilities

Provide technical oversight, governance, and accountability for vendor and partner engineering teams where appropriate.
Lead the design, architecture, development, and operation of scalable, high-performance software solutions.
Guide engineering teams through complex technical challenges and sound architectural and engineering decisions.
Contribute to the codebase as needed, delivering efficient, maintainable, secure, and well-tested solutions.
Establish and reinforce engineering best practices, including code reviews, automated testing, CI/CD, observability, security, and operational readiness.
Partner with Product Managers, stakeholders, and business leaders to understand priorities and translate them into actionable technical plans.
Identify technical, operational, and delivery risks and proactively develop mitigation strategies.
Lead technical planning, estimation activities, and roadmap execution.
Drive modernization initiatives, including cloud adoption, platform scalability, automation, and technical debt reduction.
Foster a healthy, collaborative, and inclusive team environment that supports engagement, accountability, and high performance.
Promote ownership, continuous learning, innovation, and engineering excellence.
Collaborate with architecture, security, cloud operations, and platform teams to ensure consistency and alignment across solutions.
Improve monitoring, alerting, incident management, resiliency, and disaster recovery practices to drive operational excellence.
Review and validate technical designs, implementation approaches, and architectural decisions for long-term maintainability and scalability.
Advocate for and support adoption of AI-assisted development, testing, documentation, and automation tools.
Identify opportunities to improve delivery velocity, engineering quality, operational efficiency, and developer experience through emerging technologies and automation.
Communicate technical strategy, project status, progress, risks, and outcomes to stakeholders and leadership.