Senior Cloud Data Engineer – AI Infrastructure

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories Chubb provides commercial and personal property and casualty insurance personal accident and supplemental health insurance reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings broad distribution capabilities exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40000 people worldwide. Additional information can be found at:.

About Chubb India

At Chubb India we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work for the third consecutive year a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive innovate and grow

With a team of over 2500 talented professionals we encourage a start-up mindset that promotes collaboration diverse perspectives and a solution-driven attitude. We are dedicated to building expertise in engineering analytics and automation empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together we will work to shape the future through innovation and continuous learning.

Position Details

• Job Title:Senior Cloud Engineer Data & AI Infrastructure

• Function/Department:Technology

• Location:Bangalore

• Employment Type:Full Time

Role Overview

Chubb is a leading underwriting company. We assess assume and manage risk with insight and discipline. Chubb has embarked on a transformation journey to enhance our underwriting capabilities and develop into a leading Underwriting Engineering and Data Analytics company. Cloud Platform is one of the key enablers for digital transformation and Data and Artificial Intelligence are central to Chubbs next phase of growth.

As such we are seeking a Senior Engineer specialising in Data and AI Infrastructure on cloud to be part of this exciting journey at Chubb. Reporting directly to the Head of Data/AI Engineering you will be a hands-on technical engineer responsible for building and operating the cloud-based data and AI infrastructure that powers Chubbs analytics machine learning and AI capabilities. A successful candidate will have deep hands-on experience with cloud data platforms (Azure/GCP) data engineering tooling MLOps infrastructure and Infrastructure as Code.

The successful candidate will have the opportunity to design and build foundational data and AI infrastructure from scalable data pipelines and feature stores to ML training and serving infrastructure enabling Chubbs data scientists and AI engineers to deliver business impact at speed. This is a unique opportunity for the right engineer to help shape Chubbs Data and AI platform capabilities on cloud.

Responsibilities

• Accountable for the engineering deployment and operations of Data and AI infrastructure within the Global Cloud Platform team working closely with the Data and Analytics team.

• Design build and maintain scalable cloud-based data platforms including data lakes lakehouses and data warehouses on Azure (Synapse ADLS Databricks) and/or GCP (Big Query GCS Dataflow).

• Build and operate real-time and batch data ingestion pipelines using tools such as Apache Kafka Apache Spark Databricks and cloud-native data services.

• Design and implement MLOps infrastructure to support the full machine learning lifecycle including model training environments experiment tracking model registry and production model serving (e.g. Vertex AI Azure ML MLflow Kubeflow).

• Build and maintain feature stores and data transformation pipelines support reusable governed feature engineering for ML models.

• Implement Infrastructure as Code (Terraform Ansible) and CI/CD pipelines for all data and AI infrastructure components ensuring automated repeatable and version-controlled deployments.

• Work with the cloud security team to design and enforce IAM policies data access controls encryption standards and governance guardrails across data and AI infrastructure.

• Ensure data platform components adhere to Chubbs Cloud Adoption Framework data governance policies and security standards.

• Monitor and optimise performance reliability and cost of data and AI infrastructure; build operational dashboards and alerting using tools such as Prometheus Grafana or cloud-native monitoring services.

• Support data scientists and ML engineers by providing robust self-service infrastructure tooling and documentation; conduct enablement sessions to onboard teams onto platform capabilities.

• Evaluate and integrate new data and AI tooling and frameworks into the platform making evidence-based recommendations to the Head of Data/AI Engineering.

• Attend escalations from support teams and provide hands-on engineering assistance during major production incidents related to data and AI platform services.

Key Requirements

• Extensive hands-on experience with cloud data platforms on Azure and/or GCP including Big Query Cloud Storage Dataflow Azure Data Lake Storage Azure Synapse and related services.

• Strong experience building and operating data pipelines using Apache Spark Databricks Apache Kafka or equivalent big data and streaming technologies.

• Hands-on experience with MLOps platforms and tooling (Vertex AI Azure ML MLflow Kubeflow or similar) including model training infrastructure model registries and serving endpoints.

• Proficiency in Infrastructure as Code using Terraform and/or Ansible and CI/CD pipeline tooling such as Jenkins or GitHub Actions applied to data and AI workloads.

• Experience with containerisation platforms (Kubernetes GKE AKS) and deploying data and ML workloads on container infrastructure.

• Working knowledge of IAM security controls and network design for data infrastructure on cloud in collaboration with enterprise security teams.

• Experience with monitoring and observability tooling such as Prometheus Grafana ELK stack or cloud-native equivalents for data platform operations.

• Familiarity with data governance concepts including data lineage data quality and cataloguing tools (e.g. Google Dataplex Microsoft Purview or Collibra).

• Exposure to Generative AI and LLM serving infrastructure (e.g. deploying models via Vertex AI Model Garden Azure OpenAI Service or similar) is a strong advantage.

• Bachelors degree in computer science Data Engineering Information Technology Mathematics or a relevant field.

• Minimum of 6 years of experience in data engineering and/or cloud infrastructure roles with at least 3 years working on cloud-based data and AI/ML platforms.

• Relevant cloud and/or data certifications strongly preferred such as: Google Professional Data Engineer Google Professional ML Engineer Azure Data Engineer Associate or Azure AI Engineer Associate.

• If you are a hands-on innovative Senior Engineer with a passion for building the data and AI infrastructure that powers real business outcomes we encourage you to apply. The successful candidate will be a key technical contributor in a collaborative and fast-moving engineering team working with the latest cloud data and AI technologies to help Chubb lead the future of insurance underwriting.

Why Join Us

• Be at the forefront of digital transformation in the insurance industry.

• Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.

• Work alongside experienced professionals in a collaborative innovation-driven environment.

Why Chubb

Join Chubb to be part of a leading global insurance company!

Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.

• Industry leader:Chubb is a world leader in the insurance industry powered by underwriting and engineering excellence

• A Great Place to work:Chubb India has been recognized as a Great Place to Workfor the yearsand 2025-2026

• Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results

• Start-Up Culture: Embracing the spirit of a start-up our focus on speed and agility enables us to respond swiftly to market requirements while a culture of ownership empowers employees to drive results that matter

• Growth and success: As we continue to grow we are steadfast inour commitment to provide our employees with the best work experience enabling them to advance their careers in a conducive environment

Employee Benefits

Our company offers a comprehensive benefits package designed to support our employees health well-being and professional growth. Employees enjoy flexible work options generous paid time off and robust health coverage including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs while fostering a supportive and inclusive work environment. Our benefits include:

• Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme) Employee Stock Purchase Plan (ESPP) Long-Term Incentive Plan (LTIP) Retiral Benefits and Car Lease that help employees optimally plan their finances

• Upskilling and career growth opportunities: With a focus on continuous learning we offer customized programs that support upskilling like Education Reimbursement Programs Certification programs and access to global learning programs.

• Health and Welfare Benefits: We care about our employees well-being in and out of work and have benefits like Hybrid Work Environment Employee Assistance Program (EAP) Yearly Free Health campaigns and comprehensive Insurance benefits.

Application Process

Our recruitment process is designed to be transparent and inclusive.

• Step 1: Submit your application via the Chubb Careers Portal.

• Step 2: Engage with our recruitment team for an initial discussion.

• Step 3: Participate in Hacker Rank assessments/technical/functional interviews and assessments (if applicable).

• Step 4: Final interaction with Chubb leadership.

Join Us

With you Chubb is better. Whether you are solving challenges on aglobal stageor creating innovative solutions for local markets your contributions will help shape the future. If you valueintegrity innovation and inclusion and are ready to make a difference we invite you tobe part of Chubb Indias journey.

Apply Now: Experience:

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