Description :
We are looking for an Engineering Manager to lead and scale our engineering team. This role goes beyond managing delivery - youll 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.
Location : Bengaluru, Karnataka
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 :
Bachelors / Masters 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.Builders 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).(ref : hirist.tech)