Senior Cloud Engineer – Data & AI Infrastructure

Chubb

Website: chubb.com
Job details:

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 40,000 people worldwide. Additional information can be found at: www.chubb.com.

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

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 Chubb’s 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.

Key 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 Chubb’s 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.

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.

Qualifications

• Bachelor’s 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 Work® for the years 2023-2024, 2024-2025 and 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 in our 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 a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.

Click on Apply to know more.