MA

Technology Lead

Make My Restaurant
Gurgaon6-8 LPA Posted 9 Feb 2026
FULL TIME
Machine Learning
technology management
Ai

Job Description

Key Responsibilities

Platform Operations Leadership

  • Manage enterprise platforms (cloud, application, data, integration layers) end-to-end.
  • Ensure high availability, resilience, observability, and performance.
  • Establish governance, standards, and best practices for platform lifecycle management.
  • Drive capacity planning, cost optimization, and technology modernization.

Enterprise Operations Management

  • Lead day-to-day IT operations: incident, problem, and change management.
  • Collaborate with security, compliance, and infrastructure teams for operational integrity and audit readiness.
  • Define and track KPIs/SLAs for operational excellence and continuous improvement.

AI-Driven Efficiency & Automation

  • Identify opportunities for AI/ML, intelligent automation, and predictive analytics.
  • Implement AI-based tools: AIOps, automated remediation, chatbots, and workflow automation.
  • Integrate AI capabilities into enterprise processes and platforms.
  • Measure impact: uptime gains, MTTR reduction, cost savings, and productivity improvements.

People Leadership

  • Manage, mentor, and grow platform engineers, SREs, operations analysts, and automation specialists.
  • Foster a culture of accountability, learning, and innovation.
  • Develop skill roadmaps aligned to cloud, automation, and AI trends.

Stakeholder & Cross-Functional Management

  • Act as a trusted technology partner to business leaders and functional heads.
  • Communicate platform strategies, risks, and operational health in business-friendly terms.
  • Align operational initiatives with business priorities and enterprise architecture.

Strategic Planning & Governance

  • Contribute to multi-year technology roadmaps for platforms, automation, and operational modernization.
  • Ensure compliance with IT policies, regulatory standards, and security frameworks.
  • Drive adoption of DevOps, SRE, and cloud-native operational practices.

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