Role Overview

We are seeking a modern, hands-on Engineering Manager who can lead high-performing software engineering teams in an increasingly AI-enabled development environment. This role extends beyond traditional people management and requires a strong blend of technical leadership, customer engagement, architectural guidance, and engineering execution.

The ideal candidate will possess deep technical expertise, remain closely connected to hands-on development, and leverage AI-assisted development practices to accelerate innovation, improve productivity, and deliver customer-centric solutions at speed.

Key Responsibilities

Technical Leadership

• Provide technical direction and architectural guidance for enterprise software products and platforms.

• Conduct code reviews and ensure adherence to engineering best practices, security standards, and design principles.

• Guide teams on application architecture, design patterns, and technology selection.

• Troubleshoot and support resolution of complex technical issues when required.

• Drive adoption of modern software engineering methodologies and AI-assisted development practices.

Engineering Delivery

• Lead the end-to-end delivery of software features and enhancements.

• Accelerate product delivery through automation, developer productivity tools, and AI-enabled engineering workflows.

• Foster a culture of engineering excellence, innovation, and continuous improvement.

• Collaborate with cross-functional teams to ensure timely delivery of high-quality solutions.

Customer & Stakeholder Engagement

• Engage directly with customers, business stakeholders, and product management teams to understand requirements and translate them into technical solutions.

• Develop rapid prototypes and proof-of-concepts to validate ideas and demonstrate product capabilities.

• Present technical solutions, product demonstrations, and roadmap updates to internal and external stakeholders

Team Leadership

• Build, mentor, and develop engineering talent.

• Establish a culture of accountability, learning, collaboration, and innovation.

• Coach engineers on technical growth, modern development practices, and problem-solving approaches.

• Support performance management, succession planning, and team development initiatives

AI-First Engineering Culture

• Champion the adoption of AI-assisted software development tools and practices.

• Identify opportunities to automate routine engineering tasks and improve delivery efficiency.

• Continuously evaluate emerging technologies and incorporate them into engineering strategies where appropriate.

TECH STACK

Angular 17+ | .NET 8 / C# | Azure | SQL Server / PostgreSQL

REST / GraphQL APIs | GitHub Actions / CI-CD | AI Dev Tools | Docker / Kubernetes

Required Qualifications

• Bachelor's or master’s degree in computer science, Engineering, or related discipline.

• 10+ years of software engineering experience with progressive leadership responsibilities.

• Proven experience leading software development teams in enterprise environments.

• Strong hands-on expertise in modern web application development.

• Experience managing full software development lifecycle activities

• Strong expertise in Angular for front-end application development.

• Strong understanding of modern web architecture and design patterns.

• Experience conducting code reviews and mentoring development teams.

• Strong debugging and problem-solving skills.

• Experience with cloud-native and scalable application architectures.

• Experience with .NET / ASP.NET Core application development.

• Experience building enterprise SaaS products and digital platforms.

• Exposure to AI-assisted development tools and modern engineering productivity platforms.

• Experience with DevOps, CI/CD, automated testing, and deployment pipelines.

• Knowledge of containerization and cloud platforms (Azure preferred).

Desired Leadership Competencies

• Technical credibility with engineering teams.

• Customer-focused mindset.

• Ability to balance strategic thinking with execution.

• Strong stakeholder management and communication skills.

• Innovation mindset with a passion for continuous learning.

• Ability to drive change and adopt emerging technologies.

Additional Evaluation Criteria

Candidates demonstrating the following will be strongly preferred:

• Active GitHub profile showcasing personal projects or technical contributions.

• Open-source community participation.

• Stack Overflow contributions or technical thought leadership.

• Technical blogs, conference speaking engagements, or community involvement.

• Evidence of continuous learning and experimentation with emerging AI technologies.