Supervisor Data Operations And Management

McDonald's Restaurants Limited; Hyderabad; On-site; INR 2,800,000 - 5,500,000; Full time

Job summary

McDonald’s Restaurants Limited seeks an AI/ML Platform Engineer to design, build, and enhance enterprise AI/ML platform capabilities on Google Cloud Platform (GCP). The role focuses on scalable platform services, automation, governance, and self-service tools enabling Data Scientists, AI Engineers, and AI/ML Operations teams to develop and operationalize AI solutions.

The ideal candidate will work across platform engineering, enablement, automation & DevOps, governance & security, and

Qualifications

• 4–7 years of AI/ML platform engineering experience, preferably on GCP.
• Strong knowledge of GCP services: Vertex AI, BigQuery, Cloud Storage, Cloud Functions, Cloud Run, Dataflow.
• Experience developing platform services, automation frameworks, and cloud-native apps.
• Strong Python programming and API/integration development.
• Experience with GitHub, GitHub Actions, pytest, SonarQube, or similar tools.
• Infrastructure as Code experience with Terraform or similar.
• Knowledge of containers: Docker and Kubernetes.
• Experience with Airflow or similar workflow tools.
• Understanding of platform security, IAM, access controls and governance.
• Familiarity with monitoring, observability, logging, and alerting.
• Experience building reusable templates, accelerators, self-service capabilities.
• Strong problem-solving, troubleshooting, and cross-functional collaboration.
• Excellent communication skills across teams.

Responsibilities

• Develop and enhance AI/ML platform services on GCP.
• Build reusable components, templates, accelerators, and SDKs.
• Develop platform APIs, integrations, and automation frameworks.
• Support scalable and secure platform architectures.
• Create self-service onboarding for AI engineers and data scientists.
• Improve developer experience with automation and tooling.
• Drive platform adoption across AI/data teams.
• Develop CI/CD frameworks and IaC pipelines.
• Maintain code repos, tests, and quality controls.
• Implement platform governance and security controls.
• Support observability, monitoring, and incident readiness.
• Collaborate with cross-functional teams and participate in architecture reviews.

Skills

GCP Vertex AI

Python

APIs & Integrations

CI/CD

Terraform

Docker & Kubernetes

GitHub Actions

Airflow

Security & IAM

Observability

Collaboration

Tools

Vertex AI

BigQuery

Cloud Storage

Cloud Functions

Cloud Run

Dataflow

Docker

Kubernetes

Airflow

GitHub

GitHub Actions

pytest

SonarQube

Terraform

Job description

Job Description:

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonalds global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Position Overview

We are seeking a highly skilled AI/ML Platform Engineer to design, build, and enhance enterprise AI/ML platform capabilities on Google Cloud Platform (GCP). The role focuses on developing scalable platform services, automation frameworks, governance controls, and self-service capabilities that enable Data Scientists, AI Engineers, and AI/ML Operations teams to efficiently develop and operationalize AI solutions.

Key Responsibilities

Platform Engineering

• Develop and enhance AI/ML platform services leveraging Vertex AI and GCP services.
• Build reusable platform components, templates, accelerators, and SDKs.
• Develop platform APIs, integrations, and automation frameworks.
• Support the implementation of scalable and secure platform architectures.

Platform Enablement

• Build self-service onboarding capabilities for AI engineers and data scientists.
• Create reusable development patterns, standards, and best practices.
• Improve developer experience through automation and tooling.
• Support platform adoption across AI and data teams.

Platform Automation & DevOps

• Develop CI/CD frameworks and automation pipelines for platform services.
• Implement Infrastructure as Code (Terraform) and configuration management practices.
• Maintain source code repositories, testing frameworks, and code quality controls.
• Automate platform provisioning, configuration, and lifecycle management.

Governance & Security

• Implement platform governance controls, access management, and security standards.
• Support auditability, compliance, and platform guardrails.
• Assist in implementing Responsible AI and Agent Governance capabilities.
• Partner with Security and Architecture teams to align platform controls.

Reliability & Observability

• Implement platform monitoring, logging, alerting, and health checks.
• Support platform performance, scalability, and availability improvements.
• Contribute to observability dashboards and operational readiness initiatives.
• Assist with platform capacity planning and resiliency engineering.

Collaboration & Continuous Improvement

• Collaborate with AI/ML Platform Leads, Data Scientists, Data Engineers, and AI/ML Operations teams.
• Participate in platform architecture reviews and engineering improvements.
• Evaluate emerging AI technologies and recommend platform enhancements.
• Contribute to platform documentation, knowledge sharing, and engineering standards.

Qualifications

• 4-7 years of experience in AI/ML Platform Engineering, Cloud Platform Engineering, or Data & AI Platform development, preferably on GCP.
• Strong knowledge of GCP services including Vertex AI, BigQuery, Cloud Storage, Cloud Functions, Cloud Run, and Dataflow.
• Experience developing platform services, automation frameworks, and cloud-native applications.
• Strong programming skills in Python and experience developing APIs and integrations.
• Experience with GitHub, GitHub Actions, pytest, SonarQube, or similar development tools.
• Experience with Infrastructure as Code using Terraform or similar technologies.
• Knowledge of containerization and cloud-native technologies including Docker and Kubernetes.
• Experience with workflow orchestration tools such as Airflow, Astronomer, or similar platforms.
• Understanding of platform security, IAM, access controls, and governance practices.
• Familiarity with platform monitoring, observability, logging, and alerting concepts.
• Experience building reusable templates, accelerators, and self-service capabilities.
• Strong problem-solving, troubleshooting, and collaboration skills.
• Excellent communication skills and ability to work across cross-functional teams.

McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.

Requirements: