Lead Software Engineer

About this Role

The Lead Software Engineer is a senior hands‑on technologist responsible for designing, building, and delivering enterprise‑grade software solutions.

This role owns end‑to‑end engineering delivery and partners closely with Product, Business Stakeholders, and Technology Partners to deliver scalable, secure, and reliable solutions.

The role is expected to apply Generative AI tools pragmatically to improve developer productivity, code quality, and delivery efficiency, while adhering to enterprise standards.

In this role, you will:

• Lead complex technology initiatives including those that are companywide with broad impact

• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines

• Design, code, test, debug, and document for projects and programs

• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors

• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives

• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals

• Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 5+ years of full‑stack software development experience

• Strong hands‑on coding with .NET Core / .NET

• Experience with React or Angular

• Strong JavaScript / TypeScript and responsive UI development (HTML5, CSS3, Bootstrap)

• Experience building REST APIs / microservices; familiarity with WCF

• Exposure to event‑driven architectures (Kafka preferred)

• Strong experience with unit testing and automation (xUnit, Selenium, C#)

• Experience with Oracle or SQL Server and medium/complex SQL queries

• Working knowledge of CI/CD pipelines, DevOps tools, and automated deployments

• Practical experience using GenAI tools (e.g., GitHub Copilot, Copilot for M365, enterprise‑approved AI tools) for:

  • Code assistance and refactoring

  • Test case generation

  • Documentation and troubleshooting

• Strong experience working in Agile/Scrum teams

• Excellent communication and stakeholder‑management skills

• Ability to collaborate effectively with business, product, and technology partners

• Flexibility to align with US‑based teams

Job Expectations:

Technical & Delivery Leadership

• Lead solution design and hands‑on development initiatives

• Solve complex technical problems and contribute to architecture decisions

• Ensure solutions align with enterprise standards and engineering best practices

• Identify opportunities where GenAI can improve delivery efficiency and quality

Engineering Ownership

• Own end‑to‑end delivery including development, validation, deployment, and support

• Drive automation, CI/CD adoption, and production readiness

• Use GenAI tools responsibly to accelerate development, testing, and documentation

• Conduct design and code reviews to ensure quality, performance, and security

Collaboration & Mentorship

• Partner with Product Managers, Business Stakeholders, and Technology Partners

• Communicate technical trade‑offs, dependencies, and delivery risks clearly

• Mentor engineers on modern engineering practices, including effective use of GenAI tools

• Foster a culture of continuous improvement and learning

Operational Excellence

• Support releases and troubleshoot production issues

• Participate in root‑cause analysis and preventive improvements

• Ensure compliance with security, risk, data‑privacy, and responsible AI guidelines