AVP - Engineering Greater Bengaluru, India Area

About the Role

At Rocket India, we build technology that simplifies home financing and creates meaningful customer outcomes. As Assistant Vice President of Engineering, you will translate enterprise engineering strategy into effective execution across assigned products, platforms and engineering capabilities. You will lead engineering managers and senior technical leaders, improve delivery and operational performance, and ensure that portfolio outcomes align with enterprise standards.

You will partner with Product, Quality Engineering, Architecture, Security, Data, Operations and Technology Leadership to deliver secure, scalable, resilient and customer-focused solutions while building accountable teams and sustainable engineering capabilities.

Key Responsibilities

Portfolio Execution & Delivery

Translate enterprise engineering strategy into roadmaps, execution plans and measurable outcomes for assigned products, platforms and engineering capabilities.

Lead engineering managers, architects and technical leaders responsible for delivery, modernization and operational outcomes within the assigned portfolio.

Balance delivery commitments with platform adoption, technical debt reduction, modernization, security improvements and keep-the-lights-on requirements.

Improve delivery flow and predictability through disciplined work intake, capacity planning, dependency management, commitment management, review turnaround and release readiness.

Escalate systemic constraints, investment needs and cross-portfolio dependencies with evidence and recommended actions.

Product, Platform & Technology Execution

Execute approved modernization strategies for applications, platforms, infrastructure, integrations and cloud-native capabilities within the assigned portfolio.

Ensure architecture alignment and adoption of enterprise platforms, reusable APIs, frameworks, libraries, infrastructure modules and engineering patterns.

Partner with architecture and platform teams to translate long-term technology direction into sequenced portfolio plans.

Provide technical and operational recommendations for vendor, modernization, migration and build-versus-buy decisions.

Reliability, Operations & Engineering Excellence

Implement enterprise service-ownership practices across assigned products and platforms.

Drive observability, monitoring, alerting, service-level objectives, incident management, problem management, resilience testing and operational readiness.

Ensure accountable closure of corrective and preventive actions arising from incidents, reliability reviews and operational risks.

Improve system reliability, performance, scalability, availability and operational efficiency.

Ensure teams maintain current documentation, runbooks, operational procedures and recovery plans.

Quality Engineering & Secure Delivery

Operationalize enterprise quality standards, automated testing expectations, quality gates, release controls and evidence-based deployment decisions across assigned teams.

Ensure appropriate unit, integration, regression, end-to-end, performance, resilience, accessibility and security testing strategies.

Embed security, privacy, compliance, architecture and engineering controls throughout design, development, testing, deployment and operations.

Ensure vulnerabilities, compliance findings and technology risks are prioritized, remediated and escalated appropriately.

AI Adoption & Engineering Innovation

Implement enterprise AI engineering standards across assigned engineering teams and products.

Drive responsible adoption of AI-assisted development, engineering assistants, agents, automation, analytics and intelligent operational workflows.

Operationalize AI governance through documented use-case intake, solution evaluation, release readiness, output validation, production monitoring, traceability, human escalation and fallback controls.

Measure AI adoption, engineering productivity, quality, operational outcomes and business impact while protecting security, privacy, architectural integrity and customer trust.

Promote responsible experimentation and scale proven practices within enterprise guardrails.

Metrics, Data & Continuous Improvement

Implement enterprise engineering measurement standards and use trusted portfolio-level metrics to drive performance, accountability and continuous improvement.

Monitor delivery, flow, quality, reliability, security, operational, adoption, productivity and talent measures.

Ensure portfolio data has clear definitions, accountable ownership, auditable sources, consistent aggregation and actionable insights.

Identify bottlenecks, process inefficiencies and technology gaps within the assigned portfolio and lead measurable remediation plans.

Leadership & Talent Development

Build and lead high-performing engineering teams and leadership groups across the assigned portfolio.

Develop engineering managers and senior technical leaders who independently own delivery, reliability, talent and operational outcomes.

Execute performance management, career development, talent reviews, succession coverage and leadership-readiness activities in alignment with enterprise practices.

Identify critical skill gaps and implement targeted capability-development plans.

Foster accountability, ownership, inclusion, innovation, continuous learning and cross-functional collaboration.

Recognize measurable engineering achievements, operational improvements, innovation and customer impact.

Workforce & Resource Planning

Translate enterprise workforce and capability strategies into staffing, succession, capacity and skill-development plans for the assigned portfolio.

Manage resource allocation, leadership bench strength, critical-skill readiness and delivery capacity across assigned teams.

Provide data and recommendations that inform enterprise organization-design, workforce-mix and hiring decisions.

Support hiring and talent acquisition aligned with approved portfolio and future capability requirements.

Vendor & Partner Delivery Management

Manage delivery performance for vendors, technology partners and outsourced teams supporting the assigned portfolio.

Ensure partner accountability for quality, security, delivery commitments, operational readiness, documentation, remediation and knowledge transfer.

Monitor contract outcomes, delivery measures, cost effectiveness and risks, escalating strategic or commercial issues through the appropriate governance channels.

About You

Minimum Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering or a related field, or equivalent practical experience.

12+ years of software engineering, product engineering or platform engineering experience.

5+ years leading engineering managers, senior technical leaders or multiple engineering teams.

Experience translating enterprise strategy into portfolio roadmaps, execution plans and measurable outcomes.

Experience delivering complex products, platforms, modernization programs or enterprise technology solutions.

Strong understanding of modern architecture, cloud platforms, distributed systems, APIs, data platforms, security, continuous delivery, automated quality engineering, observability and production operations.

Experience improving delivery, quality, reliability, security and operational performance across multiple teams using outcome-based metrics.

Experience leading cross-functional initiatives involving Product, Operations, Architecture, Security, Data and Engineering.

Experience with workforce capacity, leadership development, succession planning and vendor delivery management.

Excellent communication, stakeholder management and organizational leadership skills.

Preferred Qualifications

Master's degree in Computer Science, Engineering, Information Technology, Business Administration or a related field.

Experience operating in a regulated, high-volume, customer-facing or large-scale enterprise technology environment.

Experience modernizing legacy platforms and executing cloud transformation initiatives.

Experience implementing SRE, service ownership, observability and reliability engineering practices.

Experience implementing AI-enabled products, engineering automation, developer-productivity solutions, agents or intelligent operational capabilities.

Familiarity with responsible AI, AI governance, traceability, security, evaluation, output validation, production monitoring and human oversight controls.

Experience driving adoption of reusable enterprise platforms, APIs, frameworks and shared technology capabilities.

Relevant certifications in cloud, architecture, security, AI, product engineering, agile delivery or engineering leadership.