Description :

About the Role:

We are looking for a dynamic Engineering Manager to lead and scale high-performing engineering teams. This role goes beyond delivery management youll define the engineering vision, drive architecture decisions, and empower teams to build AI-driven, cloud-native applications at scale.

Youll also engage directly with enterprise clients, translate business needs into technical solutions, and ensure excellence in execution.

Key Responsibilities :

- Lead, mentor, and grow multiple engineering teams developing both technical and leadership talent.

- Partner with enterprise clients to manage technical discussions, translate business needs, and ensure successful project delivery.

- Define and implement engineering strategy, best practices, and coding standards across teams.

- Drive architecture decisions for scalable, secure, and future-ready systems.

- Collaborate with product managers, designers, and data scientists to align technical delivery with business goals.

- Oversee system scalability, performance, and reliability for AI/ML-powered applications.

- Manage hiring, resource planning, performance reviews, and career development for engineers.

- Foster a culture of innovation, ownership, and continuous learning.

- Track engineering KPIs (velocity, quality, uptime, impact) to drive continuous improvement.

- Collaborate with leadership on budgets, capacity planning, and long-term technology scaling.

Qualifications & Experience :

Must-Haves :

- Bachelors/Masters degree in Computer Science or related field.

- 10- 15 years of experience in software engineering, with at least 3+ years in an engineering management role.

- Strong foundation in full-stack development, backend systems, and cloud-native architectures.

- Hands-on experience with AWS, Azure, or GCP for building and deploying scalable solutions.

- Proven track record of leading agile engineering teams and driving predictable delivery.

- Expertise in distributed systems, microservices architecture, and system design.

- Excellent communication, stakeholder management, and leadership skills.

- Demonstrated ability to hire, scale, and mentor high-performing engineering teams.

Nice-to-Haves :

- Familiarity with AI/ML, model deployment, and AI-driven applications.

- Experience in a startup or high-growth tech environment.

- Working knowledge of DevOps, CI/CD pipelines, Docker, and Kubernetes.

Why Join :

- Build scalable, AI-powered products used by global enterprises.

- Collaborate with talented engineers, designers, and data scientists.

- Work in a high-impact, innovation-driven culture where technology meets business transformation.

- Competitive compensation and growth opportunities.