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.
Must-Haves
Qualifications & Requirements :
- 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)
(ref:hirist.tech)
