Job Description
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.
