Lead Engineering Manager

About This Role

As a Lead Engineering Manager, you will help shape and communicate a strategic vision for modern software engineering, providing hands-on leadership across multiple high-impact products. You will contribute to and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency. You will guide teams in delivering robust, high-quality solutions and foster a culture of technical excellence and continuous learning.

Responsibilities

• Contribute to defining, communicating, and refining a compelling engineering vision aligned with business objectives
• Ensure engineering teams are aligned and engaged, collaborating closely with cross-functional teams
• Champion the integrated engineering strategy and technology roadmap, ensuring organizational awareness of objectives, KPIs, maturity, and compliance
• Drive achievement of engineering KPIs, including system performance, scalability, security, and maintainability
• Contribute hands-on to design and code, mentor engineers, and resolve technical challenges
• Mentor and develop full-stack engineering talent in modern practices such as frontend, microservices, cloud-native design, AI/ML/GenAI, and DevSecOps
• Embrace iterative and incremental product development, prioritizing rapid learning and adaptation
• Align technical solutions with business outcomes, minimize unnecessary complexity, and drive teams toward high performance
• Establish and evolve engineering standards, coding practices, and quality benchmarks, proactively mitigating technical risks
• Influence, persuade, and drive decision-making processes, communicating effectively in written and verbal forms

Requirements

• Bachelor's degree in computer science, software engineering, or related discipline
• Excellent software engineering and product architecture/design foundation (BCD, OOP/OOD, data structures, algorithms, code instrumentation, messaging patterns)
• 15+ years of experience with Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks
• 8+ years of hands-on experience with cloud-native integration services on Azure, AWS, or GCP (e.g., API Gateways, Message Brokers, Queuing Services)
• 5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and continuous improvement
• 3+ years of experience with AI/ML
• Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST
• Proven ability to drive adoption of modern engineering practices at scale and cross-functional collaboration
• Proven track record of leading, mentoring, and developing diverse engineering teams
• Strong understanding of security, privacy, and compliance requirements in enterprise software engineering
• Demonstrated experience aligning engineering initiatives with business and customer value in agile environments
• Excellent interpersonal and organizational skills

Qualifications

• A bachelor's degree in computer science, software engineering, or a related discipline
• 15+ years of proven experience with programming languages, technologies, and frameworks; 8+ years of hands-on experience with cloud-native integration services; 5+ years of experience with defining and driving engineering KPIs; 3+ years of experience with AI/ML.

Nice to Have

• Advanced degree (e.g., MS)
• Experience with the latest GenAI models

Skills

* Required skills