VP of Product Engineering

Head of Product Engineering (Cloud, Microservices & ADM)

Experience: 12–15 years Role Level: Senior Leadership / Engineering Head Location: Noida (Work from Office) Shift: US Hours Employment Type: Full-time

Role Overview We are seeking a highly accomplished Head of Product Engineering to lead end-to-end Product Engineering and Application Development & Maintenance (ADM/AMS) for cloud-native platforms. This role combines hands-on technical depth with delivery leadership, owning architecture, engineering excellence, DevOps maturity, and operational reliability. The ideal candidate will be a strong technologist with proven experience delivering microservices-based, API-driven, event-oriented platforms using DevOps and CI/CD-first delivery models, while scaling teams and ensuring predictable, high-quality outcomes.

Key Responsibilities Product Engineering & Architecture Leadership Own and define the technical vision and reference architecture for cloud-based, microservices-driven products. Lead architecture decisions across microservices, API gateways, event-driven systems, and data platforms. Champion Domain-Driven Design (DDD) principles including bounded contexts and service ownership. Ensure scalable, resilient, and secure product architectures aligned with business roadmap. Application Development & Maintenance (ADM/AMS) Lead full lifecycle application delivery including development, enhancements, production support, and modernization. Own delivery across Agile/Scrum, DevOps, and CI/CD-based operating models. Drive operational excellence with strong SLAs, SLOs, and reliability metrics. Ensure effective collaboration between product engineering, SRE, and operations teams. Cloud, DevOps & CI/CD Lead engineering teams building and operating platforms on AWS, Azure, or GCP. Define and govern DevOps practices including CI/CD pipelines, infrastructure as code, automated testing, and releases. Promote containerization and orchestration using Docker and Kubernetes. Drive automation for build, test, deployment, and monitoring. Event-Driven & API Platforms Architect and govern event-driven systems using Kafka, Pub/Sub, RabbitMQ, or equivalent. Define API standards for REST, GraphQL, gRPC, versioning, and security. Ensure seamless integration with internal and external platforms through scalable API ecosystems. People, Delivery & Stakeholder Management Build, mentor, and scale high-performing engineering teams and technical leaders. Partner with Product Management to translate product vision into executable engineering roadmaps. Engage with senior stakeholders to report delivery progress, risks, and technical strategy. Drive engineering governance, design reviews, and technical debt management. Quality, Security & Reliability Embed quality engineering, security-by-design, and reliability practices across the SDLC. Ensure compliance with enterprise security, data privacy, and regulatory requirements. Lead incident reviews, root cause analysis, and continuous improvement initiatives.

Required Skills & Experience 15–20 years of experience in software engineering, with significant experience leading large-scale product engineering teams. Proven hands-on expertise in cloud-native application architecture and microservices-based systems. Strong experience with API-led architectures, integration platforms, and distributed systems. Deep understanding of DevOps, CI/CD pipelines, and automation practices. Hands-on knowledge of event-driven architectures and messaging systems. Strong experience applying Domain-Driven Design (DDD) concepts in complex domains. Proficiency with modern tech stacks (Java/Spring Boot, .NET Core, Node.Js, Python, etc.). Experience with container platforms (Kubernetes, OpenShift) and IaC tools (Terraform, CloudFormation).

Preferred Qualifications Experience managing large-scale ADM/AMS engagements. Exposure to SRE practices and observability platforms. Cloud certifications (AWS/Azure/GCP Architect). Experience working in regulated industries (Healthcare, BFSI, Telecom).

Leadership & Behavioural Competencies Strong technical credibility with the ability to go deep when required. Proven delivery leadership with a bias for execution. Ability to balance speed, quality, and reliability. Excellent communication and stakeholder management skills.

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