AIOps Manager-Manager

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 21 hours ago

Vacancies: 1 Vacancy

Job Summary

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Designation-AIOps Manager

Job Description

Architect and implement enterprise-grade AIOps solutions to automate incident detection root cause analysis and remediation across cloud and hybrid environments.
Lead the integration of telemetry data from tools like Prometheus Grafana AppDynamics Dynatrace and Azure Monitor into centralized AIOps platforms for unified observability and intelligent event correlation.
Design and maintain ML models in Python for anomaly detection predictive analytics and operational forecasting ensuring scalability and accuracy.
Build and optimize real-time and batch data pipelines using Apache Kafka Logstash and Fluentd to process logs metrics and traces from distributed systems.
Collaborate with DevOps SRE and platform engineering teams to embed AIOps capabilities into CI/CD workflows and infrastructure-as-code practices.
Drive automation of operational tasks and remediation workflows using Python Azure Functions and orchestration tools to enable self-healing systems.
Develop dashboards and visualizations using Grafana Kibana or Power BI to deliver actionable insights to engineering operations and business teams.
Implement alert noise reduction strategies using ML-based filtering deduplication and suppression techniques to improve signal-to-noise ratio.
Ensure compliance with security governance and audit policies embedding DevSecOps principles and aligning with regulatory standards.
Lead technical evaluations of AIOps platforms and tools making recommendations for adoption based on business needs and operational maturity.
Manage and mentor a team of AIOps engineers fostering a culture of innovation continuous learning and operational excellence.
Partner with business stakeholders to identify opportunities for cost optimization risk reduction and service reliability improvements through AIOps.
Contribute to strategic roadmaps budget planning and vendor assessments aligning AIOps initiatives with broader IT and business goals.
Stay current with emerging trends in AIOps observability cloud-native operations and AI-driven automation and drive their adoption within the organization.

Desired Profile

9 years of experience in IT operations DevOps or SRE with at least 3 years in AIOps or AI/ML-driven automation.

Proven experience in technical leadership team management and cross-functional collaboration.

Deep expertise in AIOps platforms: Moogsoft BigPanda Splunk ITSI ServiceNow ITOM or custom ML-based solutions.

Strong proficiency in Python with working knowledge of SQL PowerShell and Bash.

Hands-on experience with Azure AWS or GCP including monitoring and automation services.

Skilled in CI/CD tools (Azure DevOps GitHub Actions Jenkins) IaC (Terraform Ansible) and Kubernetes.

Familiarity with observability stacks (ELK OpenTelemetry Kafka) and data engineering workflows.

Excellent communication stakeholder management and problem-solving skills.

Experience

9 years and above

Education

. / BS in Computer Science

Technical Skills & Certifications

Certified in cloud platforms: Azure Data Engineer Associate AWS Data Analytics or Google Data Engineer.
Proficient in Python SQL and Bash for automation and data workflows.
Experience with Apache Kafka Spark AWS Glue and ETL tools like NiFi Talend or ADF.
Skilled in managing data on Azure Data Lake Amazon Redshift or BigQuery.
Familiar with CI/CD Terraform Docker Kubernetes and monitoring tools like Prometheus and Grafana.

EY Building a better working world

EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.

Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.

Required Experience:

Manager

At EY were all in to shape your future with confidence.Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.Designation-AIOps ManagerJob DescriptionArchitect and implement enterprise...

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Designation-AIOps Manager

Job Description

Architect and implement enterprise-grade AIOps solutions to automate incident detection root cause analysis and remediation across cloud and hybrid environments.
Lead the integration of telemetry data from tools like Prometheus Grafana AppDynamics Dynatrace and Azure Monitor into centralized AIOps platforms for unified observability and intelligent event correlation.
Design and maintain ML models in Python for anomaly detection predictive analytics and operational forecasting ensuring scalability and accuracy.
Build and optimize real-time and batch data pipelines using Apache Kafka Logstash and Fluentd to process logs metrics and traces from distributed systems.
Collaborate with DevOps SRE and platform engineering teams to embed AIOps capabilities into CI/CD workflows and infrastructure-as-code practices.
Drive automation of operational tasks and remediation workflows using Python Azure Functions and orchestration tools to enable self-healing systems.
Develop dashboards and visualizations using Grafana Kibana or Power BI to deliver actionable insights to engineering operations and business teams.
Implement alert noise reduction strategies using ML-based filtering deduplication and suppression techniques to improve signal-to-noise ratio.
Ensure compliance with security governance and audit policies embedding DevSecOps principles and aligning with regulatory standards.
Lead technical evaluations of AIOps platforms and tools making recommendations for adoption based on business needs and operational maturity.
Manage and mentor a team of AIOps engineers fostering a culture of innovation continuous learning and operational excellence.
Partner with business stakeholders to identify opportunities for cost optimization risk reduction and service reliability improvements through AIOps.
Contribute to strategic roadmaps budget planning and vendor assessments aligning AIOps initiatives with broader IT and business goals.
Stay current with emerging trends in AIOps observability cloud-native operations and AI-driven automation and drive their adoption within the organization.