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Weekday, Inc.

AVP - ENGINEERING

Posted 7 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Expert/Leader
In-Office
Mumbai, Maharashtra, IND
Expert/Leader
Lead and scale engineering teams to deliver Java-based microservices and distributed platforms. Own architecture, release management, CI/CD, production support, incident management, and engineering governance while driving hiring, performance, and operational excellence.
The summary above was generated by AI

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲𝟬-𝟳𝟱 𝗟𝗣𝗔)

Experience: 9+ yrs

Location: Mumbai, Maharashtra, India, anywhere, India

Job Type: Full-time

We are seeking an accomplished Associate Vice President (AVP) – Engineering to lead enterprise engineering delivery, release management, and production support operations across large-scale technology platforms. This role is ideal for experienced engineering leaders with strong expertise in Java, Microservices Architecture, Cloud Technologies, DevOps, and Engineering Operations who are passionate about building high-performing teams and delivering reliable, scalable software solutions.

As an AVP – Engineering, you will provide strategic leadership across engineering, release management, and client support functions while driving operational excellence and engineering best practices. Working closely with product, architecture, DevOps, and executive stakeholders, you will ensure high-quality software delivery, strengthen engineering capabilities, and continuously improve release governance and customer support operations.


RequirementsKey Responsibilities
  • Lead, mentor, and scale engineering managers, technical leads, and backend engineering teams.
  • Drive architecture and technical direction for Java-based microservices applications and distributed enterprise platforms.
  • Establish engineering standards covering code quality, testing, API governance, CI/CD, security, and software development best practices.
  • Oversee end-to-end engineering delivery to ensure projects are completed on time, within scope, and to the highest quality standards.
  • Manage hiring, performance management, leadership development, and succession planning across engineering teams.
  • Build a culture of ownership, innovation, collaboration, and continuous improvement.
  • Monitor engineering KPIs including deployment frequency, sprint velocity, defect trends, and delivery performance.
  • Own the complete release management lifecycle, including planning, governance, deployment readiness, risk management, and post-release reviews.
  • Improve CI/CD pipelines, release automation, rollback strategies, and deployment reliability.
  • Lead production support operations by overseeing incident management, SLA compliance, root cause analysis (RCA), and preventive improvements.
  • Collaborate with cross-functional teams, customers, and executive stakeholders to resolve critical production issues and improve operational performance.
  • Drive process optimization, engineering governance, and technology modernization initiatives across the organization.
What Makes You a Great Fit
  • 9+ years of experience in software engineering with significant experience leading enterprise engineering teams.
  • Strong hands-on expertise in JavaSpring BootSpring Cloud, and enterprise application development.
  • Deep understanding of Microservices Architecture, REST APIs, distributed systems, and event-driven application design.
  • Proven experience leading engineering delivery, release management, and production support in enterprise or SaaS environments.
  • Strong knowledge of AWSAzure, or Google Cloud Platform (GCP) along with DockerKubernetes, and modern DevOps practices.
  • Experience implementing CI/CD pipelines, release governance, incident management, and operational excellence initiatives.
  • Excellent leadership, stakeholder management, communication, and people development skills.
  • Strong analytical and strategic thinking abilities with experience managing large, multi-layered engineering organizations.
  • Familiarity with Agile methodologies, Jira, Confluence, ITIL practices, and engineering governance frameworks.
  • Exposure to Large Language Models (LLMs)Agentic AI, or AI-driven engineering practices is considered an added advantage.

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