Provide strategic technical leadership for large engineering teams, drive cloud-native product development, and implement AI/ML and Generative AI solutions in production. Oversee architecture, delivery governance, CI/CD, DevOps, quality, and client-facing technical engagements while mentoring senior technical leaders and scaling distributed global delivery models.
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฐ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฐ๐ฌ-๐ด๐ฌ๐ฌ ๐๐ฃ๐)
Experience: 11+ yrs
Location: India, Mumbai, Maharashtra, India, Thane, Maharashtra, India, Pune, Maharashtra, India, b
Job Type: Full-time
We are seeking an accomplished Head of Engineering to provide strategic technical leadership, drive engineering excellence, and oversee large-scale application development and product engineering initiatives. This is a senior leadership role for a hands-on technology leader with strong expertise in building scalable software products, modern cloud-native architectures, and AI-enabled solutions.
The role will involve leading a large engineering organization, translating business and architectural objectives into execution, and ensuring high standards across technology, delivery, quality, and innovation. You will also work directly with enterprise clients and senior technology stakeholders to understand complex business challenges and shape effective technical solutions.
The ideal candidate combines deep engineering expertise with strong organizational leadership, client-facing capability, and practical experience implementing AI/ML and Generative AI technologies in production environments.
RequirementsKey Responsibilities
- Provide technical vision and strategic direction for application development and product engineering initiatives.
- Lead and mentor a large-scale engineering organization across multiple products, platforms, and technology teams.
- Partner with architecture leadership to translate enterprise architecture strategies into scalable, secure, and high-performance solutions.
- Remain technically hands-on through architecture reviews, complex system design, technical assessments, and proof-of-concept development.
- Drive the adoption and production implementation of AI/ML and Generative AI capabilities across products and business solutions.
- Establish engineering standards, coding practices, architecture guidelines, quality frameworks, and technical governance.
- Oversee the development of modern, cloud-native, scalable, and resilient applications.
- Work closely with product, engineering, architecture, QA, DevOps, and business leadership to deliver strategic technology initiatives.
- Act as a trusted technical advisor to enterprise and international clients, including CTOs and senior technology decision-makers.
- Lead technical discovery sessions and translate complex client requirements into actionable engineering strategies and roadmaps.
- Identify technical opportunities, solution enhancements, and areas for product and engineering growth.
- Own delivery governance across large-scale engineering programs, ensuring predictable and high-quality outcomes.
- Drive Agile/Scrum practices, CI/CD adoption, engineering automation, and continuous improvement.
- Proactively identify architectural risks, performance bottlenecks, technical debt, and delivery challenges.
- Establish effective risk mitigation and remediation strategies before issues impact customers or business outcomes.
- Build strong collaboration between distributed and global engineering teams.
- Support talent strategy, organizational scaling, succession planning, mentoring, and development of senior technical leaders.
- Represent engineering leadership in strategic client discussions, executive reviews, and technology planning sessions.
- 11+ years of experience in Core Technology, Application Development, Software Engineering, or Product Engineering, with significant experience in engineering leadership.
- Proven experience managing and scaling large engineering organizations across multiple products or technology portfolios.
- Strong hands-on background in software architecture, distributed systems, cloud-native application development, and modern engineering practices.
- Practical experience implementing AI/ML, Generative AI, LLMs, or intelligent automation in production environments.
- Strong understanding of software development lifecycle, Agile methodologies, DevOps, CI/CD, scalability, security, and engineering quality.
- Demonstrated ability to work directly with enterprise and international clients and manage senior-level technical relationships.
- Excellent communication, presentation, stakeholder management, and executive engagement skills.
- Experience managing complex technical programs, delivery expectations, escalations, and multi-team engineering initiatives.
- Strong commercial and consultative mindset with the ability to connect technology decisions to business outcomes.
- Experience working with global delivery models and distributed teams.
- Willingness to travel internationally when required for client and business engagements.
- Strong understanding of enterprise technology trends, cloud platforms, AI, and modern product engineering practices.
- Experience in EdTech, workforce technology, SaaS, or enterprise product development will be an advantage.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline preferred.
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