Vice President Product Engineering (Client Success Devops & QA)

Vice President, Product Engineering

Client Success, DevOps & QA

Experience: 14 - 20 Years

Location: Mumbai

Employment Type: Full-Time

Work Mode: Work from Office

Job Summary

We are seeking an accomplished Vice President Product Engineering (Client Success, DevOps & QA) to provide strategic and technical leadership across Product Engineering, Client Success, DevOps, Quality Assurance, and Engineering Operations.

The ideal candidate will have 14–20 years of experience in designing and developing scalable, distributed, and multi-tenant enterprise applications, combined with strong expertise in Java, cloud platforms, microservices, DevOps, QA, and large-scale engineering leadership.

This role will be responsible for driving product engineering strategy, client success, engineering excellence, quality, DevOps transformation, operational efficiency, and large-scale technology delivery.

Key Responsibilities

Product Engineering Leadership

• Define and execute the overall Product Engineering strategy and technology roadmap aligned with business objectives.
• Lead the design and development of highly scalable, distributed, and multi-tenant enterprise products.
• Drive engineering excellence across architecture, development, testing, deployment, reliability, and operations.
• Ensure products are scalable, secure, reliable, performant, and aligned with customer expectations.
• Drive modernization and adoption of cloud-native and microservices-based architectures.
• Establish engineering standards, coding best practices, architecture principles, and development methodologies.

Client Success & Product Delivery

• Partner closely with Client Success, Product Management, Sales, and Business leadership to ensure successful customer outcomes.
• Translate customer requirements, product feedback, and business priorities into engineering roadmaps.
• Establish mechanisms to improve product adoption, reliability, performance, and customer satisfaction.
• Drive timely resolution of critical customer-impacting technical issues.
• Provide executive-level technical engagement for strategic clients when required.
• Build a strong feedback loop between customers, Client Success, Product, QA, DevOps, and Engineering teams.
• Ensure engineering priorities are aligned with customer commitments and business objectives.

Engineering Organization & People Leadership

• Build, hire, lead, mentor, and retain a large, high-performing engineering organization.
• Lead Engineering Managers, Architects, Technical Leads, DevOps leaders, and QA leadership.
• Establish clear organizational structures, responsibilities, goals, and performance expectations.
• Develop leadership capabilities and succession plans across the engineering organization.
• Foster a culture of ownership, accountability, innovation, collaboration, quality, and continuous improvement.
• Drive talent development, workforce planning, performance management, and employee engagement.

Cloud & Architecture

• Lead development and evolution of cloud products using:

• AWS

• GCP

• Java / Java-based technologies

• Microservices

• Distributed systems

• Ensure architectures support multi-tenancy, scalability, high availability, fault tolerance, security, and performance.

• Drive cloud adoption, modernization, and optimization initiatives.

• Evaluate emerging technologies and determine their applicability to the product roadmap.

DevOps & Engineering Operations

• Define and execute the organization's DevOps and engineering operations strategy.

• Streamline development, testing, deployment, and release processes to enable frequent and reliable deployments.

• Drive automation across CI/CD, infrastructure, testing, monitoring, and operational processes.

• Establish best practices around:

• CI/CD

• Release Management

• Infrastructure Automation

• Monitoring & Observability

• Incident Management

• Production Support

• Reliability Engineering

• Improve engineering velocity while maintaining product quality, security, and stability.

• Drive cloud infrastructure optimization and operational efficiency.

Quality Assurance & Engineering Quality

• Establish the overall Quality Engineering / QA strategy across the product lifecycle.
• Build a culture of quality-by-design and shift-left testing.
• Drive automation across functional, integration, regression, performance, security, and API testing.
• Establish quality KPIs and continuously improve defect prevention and resolution.
• Ensure appropriate test coverage and release quality across products and platforms.
• Collaborate with Engineering and DevOps teams to integrate automated testing into CI/CD pipelines.
• Establish processes for production quality monitoring and continuous improvement.

Engineering KPIs & Operational Excellence

• Define and monitor engineering KPIs covering:

• Deployment frequency

• Lead time for changes

• Release quality

• Defect rates

• Test automation coverage

• Production incidents

• Mean time to recovery

• Application availability

• Engineering productivity

• Customer-impacting issues

• Use data-driven insights to identify bottlenecks and improve engineering performance.

• Establish continuous improvement initiatives across Product Engineering, DevOps, QA, and Client Success.

Data & Distributed Systems

• Lead engineering initiatives involving high-volume data environments.

• Experience with technologies such as:

• MySQL

• MongoDB

• Elasticsearch

• Redis

• Drive database performance, scalability, indexing, caching, availability, and optimization.

• Ensure appropriate technology selection for high-volume and distributed application workloads.

Program & Project Management

• Drive large-scale product engineering programs from strategy and planning through execution and delivery.
• Establish priorities, milestones, dependencies, resource plans, and delivery metrics.
• Identify and mitigate technical, operational, quality, and delivery risks.
• Ensure projects and engineering initiatives remain aligned with business and customer objectives.
• Drive effective Agile SDLC practices across the organization.

Executive & Stakeholder Leadership

• Work closely with the CEO, CTO, Product leadership, Client Success, Sales, and other senior stakeholders.
• Communicate technology strategy, engineering performance, risks, and delivery status to executive leadership.
• Demonstrate strong judgment and decision-making in complex and high-pressure situations.
• Manage competing priorities while maintaining focus on business outcomes and customer commitments.
• Build strong collaboration across geographically distributed teams and functions.

Mandatory Skills & Experience

• 14–20 years of relevant IT / Software Engineering experience.
• Significant experience in Product Engineering / Engineering Leadership roles.
• Proven experience designing and developing scalable, distributed, multi-tenant enterprise applications.
• Strong experience building and managing large engineering organizations.
• Strong expertise in Java and Java-related technologies.
• Strong experience with AWS and GCP.
• Extensive experience with microservices architecture and distributed systems.
• Strong understanding of DevOps, CI/CD, automation, and cloud-native engineering.
• Strong experience with Quality Engineering / QA strategy and automation.
• Experience with high-volume data stores including MySQL, MongoDB, Elasticsearch, and Redis.
• Strong understanding of engineering KPIs, software quality, delivery metrics, and operational excellence.
• Proven experience driving large-scale product and technology programs.
• Deep understanding of Agile SDLC.
• Excellent communication, stakeholder management, leadership, judgment, and decision-making skills.

Leadership Competencies

• Product Engineering Leadership
• Client Success Orientation
• Strategic Technology Leadership
• Engineering Organization Building
• DevOps & Cloud Transformation
• Quality Engineering
• Product Delivery
• People & Talent Management
• Executive Stakeholder Management
• Engineering KPI Management
• Operational Excellence
• Agile Transformation
• Decision Making
• Risk Management
• Continuous Improvement

Good to Have

• Experience building and scaling SaaS / cloud-based enterprise products.
• Experience managing Engineering, DevOps, QA, and Client Success functions.
• Experience with Docker and Kubernetes.
• Knowledge of Kafka or other event-streaming platforms.
• Experience with SRE, observability, monitoring, and production reliability.
• Experience with cloud cost optimization / FinOps.
• Exposure to GenAI / AI-enabled enterprise products.
• Experience working with global enterprise customers.

Education

Master’s or Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field.