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.
Apply now »
Find similar jobs
