Engineering Manager

Role: Engineering Manager

Location: Bangalore

Work Mode : Full time

Years of Experience : 10 -15 Years

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

We are looking for an Engineering Manager to lead and scale our engineering team. This role goes beyond managing delivery — you’ll set the engineering vision, establish best practices, and empower teams to build AI-driven applications at scale. You will also play a key role in client management — engaging with enterprise customers to understand their needs, translate them into technical solutions, and ensure successful delivery.

Roles & Responsibilities

• Lead, mentor, and grow multiple engineering teams, developing both technical and leadership talent.
• Partner with clients and key stakeholders – engage in technical discussions, manage expectations, and ensure successful, on-time delivery of enterprise AI solutions.
• Define and drive the engineering strategy – establish best practices, coding standards, and processes across teams.
• Drive technical architecture and strategic decision-making, ensuring systems are scalable, secure, and future-proof.
• Collaborate closely with product managers, designers, and data scientists to align engineering execution with business goals and customer needs.
• Ensure projects are delivered on time, within scope, and at high quality, proactively identifying risks and removing roadblocks.
• Oversee system scalability, performance, and security, with a focus on AI/ML-powered applications.

Manage hiring, resource planning, performance reviews, and career development of engineers to build a high-performing team.

• Foster a culture of innovation, ownership, and continuous learning, encouraging experimentation with new technologies and AI capabilities.
• Track and report on engineering KPIs (velocity, quality, uptime, customer impact) to continuously improve team efficiency and delivery.
• Collaborate with leadership on budgets, capacity planning, and long-term scaling of the engineering function.

Qualifications & Requirements

Must-Haves

• Bachelor’s/Master’s degree in Computer Science or related field.
• 10–15 years of experience in software engineering, with 3+ years in a managerial role.
• Strong foundation in full-stack development, backend systems, and cloud-native architectures.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and building/deploying cloud-native applications.
• Proven experience leading engineering teams in agile environments, driving predictable delivery.
• Expertise in scalable, distributed systems and system design.
• Experience working directly with enterprise clients — managing technical discussions, expectations, and delivery.
• Excellent communication, organizational, and leadership skills.
• Ability to balance technical depth with business priorities and make pragmatic trade-offs.
• Demonstrated ability to hire, grow, and scale engineering teams.
• Builder’s mindset – proactive, adaptable, and able to lead in fast-changing environments.

Nice-to-Haves

• Familiarity with AI/ML concepts, APIs, and model deployment.
• Prior experience in a startup or high-growth environment.
• Exposure to DevOps, CI/CD, and containerization (Docker, Kubernetes).

Job Type: Full-time

Work Location: In person