Lead Software Engineer

This position is intended for engineering leaders with strong software development and architecture experience. Candidates whose primary background is program or project management, without significant hands-on engineering experience, are not the target profile.

The Candidate Should Demonstrate The Following Capabilities

Leadership & Engineering Expectations

• Strong Engineering Mindset - Hands-on software engineering experience with the ability to lead by example and make sound technical decisions.
• Solution Architecture & Design - Ability to design scalable, resilient, secure, and high-performing engineering solutions, supported by a strong understanding of software architecture, design patterns, and distributed systems.
• Technical Strategy & Execution - Ability to define the engineering roadmap, translate strategy into execution, and consistently deliver business outcomes.
• People Leadership - Proven experience in hiring, coaching, mentoring, performance management, succession planning, and building high-performing engineering teams.
• Stakeholder Management - Excellent communication skills with the ability to influence cross-functional stakeholders, build strong partnerships, and effectively manage executive expectations.
• Engineering Excellence - Strong focus on code quality, CI/CD, testing strategy, DevSecOps, operational excellence, technical debt reduction, and continuous improvement.
• Operational & Production Excellence - Experience driving reliability, observability, performance optimization, incident management, root cause analysis, and production stability.
• Engineering Productivity & AI - Experience leveraging AI-assisted development, automation, and modern engineering practices to improve developer productivity, quality, and delivery efficiency.

The Candidate Should Have Strong Experience In

• Spring Boot and Node.js ; RESTful APIs and GraphQL; Microservices and distributed systems architecture
• API strategy, governance, lifecycle management, and security; Modern design patterns and engineering best practices
• Cloud-native application development (AWS, Azure, or GCP)
• Kubernetes/OpenShift and containerized platforms
• CI/CD pipelines and DevSecOps practices
• Observability and monitoring platforms

• Build enterprise engineering platforms, reusable frameworks, and foundational capabilities.
• Establish engineering standards and governance.
• Enable federated engineering teams through reusable solutions while driving enterprise-wide adoption and consistency.