Talent500 is hiring for one of its clients

Who are we:

Core Insurance Platforms (CIP) is Zurich's global capability responsible for building, running, and evolving core insurance technology. We set a unified, scalable operating model—covering governance, standards, architecture, service delivery, and reuse—so our business units can deliver at speed and scale.

CIP is the strategic steward of Zurich's Guidewire ecosystem, aligning platform roadmaps to business strategy while driving stability, modernization, reduced supplier dependency, and long-term cost efficiency.

India delivery center is one of our global delivery and capability hub. We bring together experts in AI, engineering, analysis, quality, and architecture to deliver product & process solutions, application run services, change and transformation initiatives, and centralized platform services across both on prem and Guidewire Cloud environments. Our teams operate from multiple global delivery centers, supporting Zurich's business units worldwide.

Senior Lead Devops Engineer

Role Summary:

DevOps/Developer with 10+ years of hands-on experience working both independently and as part of a team.

This role operates in an AI-first DevOps and platform engineering environment, where infrastructure automation, deployment pipelines, monitoring, and system optimization are enhanced through AI-assisted insights to improve reliability, scalability, efficiency, and delivery outcomes across cloud and containerized platforms.

Must Have:

Experience with Infrastructure as Code (IaC) using Terraform, leveraging AI-assisted validation and optimization to improve consistency, reduce configuration drift, and accelerate provisioning
Strong experience with containerization tools like Kubernetes including troubleshooting, using AI-assisted diagnostics to identify cluster issues, optimize resource utilization, and improve stability
Experience with public cloud IaaS, PaaS in AWS & Azure, leveraging AI-driven insights to optimize performance, cost, and scalability of cloud resources
Experience integrating applications with secrets managers such as HashiCorp Vault, leveraging AI-assisted analysis to improve secrets governance, access control validation, and security posture
Hands-on experience with CI/CD tools like Azure DevOps, Jenkins, Git, JIRA etc., leveraging AI-driven insights to optimize pipelines, reduce failures, and improve deployment speed and reliability
Experience in maintaining AWS/Azure infrastructure such as setting up load balancers, creating IAM policies, maintaining certificates, using AI-assisted monitoring and analysis to improve system reliability and reduce misconfigurations
Experience with monitoring tools like Dynatrace or Datadog, leveraging AI-based anomaly detection and observability insights to proactively detect issues and improve system performance
Experience with OS technologies including Windows/Linux, leveraging AI-assisted troubleshooting to accelerate root cause analysis and improve system optimization
Basic understanding of network, DNS troubleshooting, using AI-driven diagnostics to quickly identify connectivity issues and configuration errors
Apply AI-assisted techniques to improve infrastructure automation, deployment pipelines, and operational efficiency
Identify recurring patterns in incidents, deployment failures, and performance issues, and drive optimization using AI-supported insights
Deliver measurable improvements such as faster release cycles, reduced incident resolution time (MTTR), improved system uptime, and increased automation coverage
Leverage AI for predictive monitoring, anomaly detection, cost optimization, and proactive issue resolution across cloud and Kubernetes environments
Define and promote AI-first DevOps practices within engineering teams, improving productivity and reliability outcomes
Ensure responsible use of AI aligned with security, data privacy, and regulatory compliance requirements

Nice to Have:

Experience in large organizations with segmented roles/responsibilities
UI Development using Angular / React JS, Bootstrap, jQuery, Ajax, CSS, JS, leveraging AI-assisted development tools to improve productivity and consistency
Build .NET Core MVC REST APIs with microservices architecture, using AI-assisted code generation and validation to enhance efficiency and reliability
SQL Server expertise including DML, DDL and stored procedures, leveraging AI-assisted query optimization to improve performance
Exposure to Agile, peer-review, and Test-Driven Development (TDD), leveraging AI-assisted code reviews and test generation to improve quality
Experience integrating REST APIs with API wrappers, using AI-assisted diagnostics to reduce integration errors
Docker for .NET Web Apps, leveraging AI insights to improve container performance and deployment consistency
Experience with testing tools such as Selenium, leveraging AI-assisted testing approaches to improve coverage and efficiency
Demonstrated experience using AI-assisted tools for infrastructure optimization, monitoring, or DevOps automation -able to describe before/after impact
Ability to leverage AI for log analysis, incident troubleshooting, performance optimization, and pipeline diagnostics
Strong problem-framing capability to effectively use AI tools for debugging, analysis, and decision-making
Track record of improving DevOps outcomes (efficiency, reliability, scalability) through AI adoption or intelligent automation practices

Candidate Data Privacy Notice:

Applicability of This Notice This job posting relates to opportunities with Zurich Digital International Private Ltd. (Zurich) and is published with the support of ANSR Inc., (ANSR) an authorized recruitment service provider engaged by Zurich for its hiring activities.

Participation in the Recruitment Process :

When you apply for this role, personal data provided as part of your application (such as your name, email address, contact details, address, financial information, background information, medical history, and details of previous employers/employment) is collected for the purposes of recruitment and selection and may be reviewed by Zurich, and transferred/disclosed to Zurich's affiliates, subsidiaries, and related entities and ANSR (Transferees), solely for recruitment and selection purposes (in accordance with their respective privacy policies).

The Transferees maintain at least the same level of protection for your data as maintained by Zurich, and do not further transfer/disclose/share or publish your data.

For information on how your personal data is processed by ANSR, including your rights and how to contact the relevant data protection office, please review: ANSR Privacy Policy: ANSR Privacy Policy - Ensuring Data Security

You understand and acknowledge:

You have the option not to provide your data (in which case we may not be able to process your application);

You have the option to review, correct/amend your data;
You have the option to withdraw your consent from processing your data;
Your data is retained until the purpose for its collection is served; and
Zurich uses reasonable security measures to help protect against the unauthorized access, loss, misuse and alteration of the personal information under our control. However, no method of transmission over the internet, or method of electronic storage, is completely secure.
By submitting your interest in any of our vacancies, you consent to the collection, storage, transfer, disclosure, and processing of your personal information and/or sensitive personal data or information.

In case of any complaints or queries in regard to your personal information, please contact our data protection/grievance redressal officer: Arun Subramanian.

Senior Lead DevOps Engineer