# Associate Vice President - Engineering (AVP)

> Weekday AI · Mumbai, India · Full-time · Posted 2026-08-06

**Salary:** INR 3,500,000–5,500,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟱𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟱-𝟱𝟱 𝗟𝗣𝗔)

Experience: 10+ yrs

Location: Mumbai, Maharashtra, India

Job Type: Full-time

We are seeking an experienced **Associate Vice President (AVP) – Engineering** to lead engineering delivery, release management, and client support operations for large-scale enterprise platforms. This role is ideal for a technology leader with a strong background in backend engineering, microservices architecture, and operational excellence who is passionate about building high-performing teams and delivering reliable, scalable software solutions.

As an AVP – Engineering, you will provide strategic and technical leadership across engineering, DevOps, and client support functions while ensuring consistent, high-quality delivery across multiple enterprise engagements. You will work closely with product, architecture, infrastructure, and business stakeholders to drive engineering best practices, streamline release processes, improve production stability, and foster a culture of innovation, accountability, and continuous improvement.

## Requirements

### Key Responsibilities

-   Lead, mentor, and scale high-performing engineering managers, technical leads, and backend engineering teams.
-   Drive architecture, design, and delivery of scalable Java-based microservices and distributed applications.
-   Establish engineering standards for code quality, testing, API governance, CI/CD, and software development best practices.
-   Oversee end-to-end engineering delivery, ensuring projects are completed on time, within scope, and to the highest quality standards.
-   Own the complete release management lifecycle, including planning, scheduling, risk assessment, deployment, and release governance.
-   Improve deployment automation, release predictability, rollback strategies, and zero-downtime delivery practices.
-   Collaborate with DevOps teams to enhance cloud-native deployment pipelines and operational efficiency.
-   Lead client support operations by ensuring SLA adherence, managing critical production incidents, and driving root cause analysis for recurring issues.
-   Establish operational processes, knowledge management practices, and support frameworks that improve customer experience and platform reliability.
-   Monitor engineering and operational KPIs, identify improvement opportunities, and implement initiatives that enhance productivity, quality, and system performance.
-   Partner with cross-functional stakeholders to align engineering priorities with business objectives while driving innovation and continuous process improvement.
-   Build a strong engineering culture through talent development, performance management, succession planning, and technical leadership.

### What Makes You a Great Fit

-   10+ years of experience in software engineering with significant experience leading engineering teams and enterprise technology delivery.
-   Strong expertise in **Java, Spring Boot, Spring Cloud, microservices architecture, REST APIs, and distributed systems**.
-   Proven experience leading large engineering organizations while managing multiple projects and cross-functional teams.
-   Hands-on experience with release management, CI/CD pipelines, DevOps practices, and cloud platforms such as **AWS, Azure, or GCP**.
-   Strong understanding of **Docker, Kubernetes**, containerized deployments, and cloud-native application architecture.
-   Experience managing client-facing support operations, production environments, and SLA-driven service delivery.
-   Excellent knowledge of engineering governance, software quality assurance, performance optimization, and operational excellence.
-   Strong leadership, stakeholder management, communication, and decision-making skills with the ability to influence technical and business teams.
-   Familiarity with Agile delivery methodologies, Jira, Confluence, ITIL, or service management frameworks is an advantage.
-   Exposure to emerging technologies such as **LLMs, AI-driven platforms, or Agentic Engineering** is a plus.
-   Bachelor's or Master's degree in Computer Science, Information Technology, or a related discipline, with a passion for building scalable engineering organizations and delivering world-class enterprise solutions.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/5BAFD06BD5/apply)

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