Jobs Companies Weekday AI Associate Vice President - Engineering (AVP)

À propos de ce poste Associate Vice President - Engineering (AVP) chez Weekday AI

Weekday AI · Sur site · Mumbai, Maharashtra, India

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.
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À propos de Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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