Real job — pulled straight from Michelin’s careers page · Verified August 26, 2026 · No reposts.
Job description
Michelin is hiring a Application Reliability Engineer, Data & AI — a full-time, based in Pune role. Apply directly on Michelin's careers page below.
Application Reliability Engineer – Data & AI
Location: Pune
Remote Type: Hybrid
Job Description
Application Reliability Engineer – Data & AI- - - - - - - - - - - -
The Data and AI Application Reliability Engineer you are responsible for owning the post-deployment health, latency, and performance of productionized AI application and Medallion architectures followed for applications.
Acting as the problem-solver for technical issues affecting data pipelines, databases, and deployed AI/ML models, ensuring continuous operation and high user satisfaction.
Partner with core Feature teams to perform root-cause analysis, optimize PySpark jobs, and reduce system debt
Build automated observability dashboards and self-healing mechanisms for automated failure recovery
As a part of Job you are required to balance your responsibilities between Proactive Engineering & Automation and Operational Reliability/ Production Health.
Key Responsibilities
Performance Optimization: Analyze and refactor resource-intensive PySpark jobs, queries, and API endpoints to optimize cost, execution speed, and compute efficiency.
Self-Healing Automation: Develop automated recovery routines, DAG rerun triggers, and data quality checks to minimize manual intervention.
Engineering Alignment: Partner closely with Feature Teams and Architects to establish strict Definition of Done (DoD) standards and production readiness gates for new deployments.
Production Observability & Monitoring: Design, implement, and maintain real-time monitoring and alerting frameworks for Medallion architecture pipelines, feature stores, and AI Applications.
Incident Management & Root-Cause Analysis: Lead technical resolution for high-priority production incidents, conducting thorough post-mortems to eliminate recurring failure patterns.
Technical Expertise:
Azure Data Engineering Stack
Proficiency in Databricks , Python, and PySpark.
Azure (ADLS Gen2, Azure Data Factory, Key Vault, Azure DevOps)
Hands-on experience with Medallion architecture.
Cloud and DevOps Fundamentals
Understanding of cloud computing concepts and Services, specifically Microsoft Azure.
Good handson experience on Python.
Good to Have Technical Abilities :
Understanding of PowerBI reports will be a plus.
DevOps & CI/CD Fundamentals
AI & Machine Learning Fundamentals
Data Science Fundamentals
Generative AI & LLM Fundamentals
Behaviour
Problem Solver: Ability to reverse-engineering complex system behavior and tracking down bugs.
Automation-First: An instinct to automate repetitive tasks .
Clear Communicator: Ability to explain technical root causes to non-technical stakeholders clearly.
Relevant work experience - 5 yrs
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Frequently asked questions
What skills are required for Application Reliability Engineer, Data & AI at Michelin?
The required skills for Application Reliability Engineer, Data & AI at Michelin include: Python, Spark, Azure, Databricks, DevOps, CI/CD, Machine Learning, Generative AI, LLM.
What is the seniority level for Application Reliability Engineer, Data & AI at Michelin?
Application Reliability Engineer, Data & AI at Michelin is a Mid Level level position.
How do I apply for Application Reliability Engineer, Data & AI at Michelin?
You can view the full description and apply for Application Reliability Engineer, Data & AI at Michelin on EchoJobs: https://echojobs.io/job/michelin-application-reliability-engineer-data-ai-q2ddx.