AWS Cloud Engineer

This role is responsible for design, development, and deployment of cloud-native solutions that will drive long-term business value.

The ideal candidate will contribute to strategic cloud initiatives, modern data platform integrations, and infrastructure automation.



* Design and architect cloud-based infrastructure solutions using AWS services such as EC2, S3, Lambda, Glue, IAM, and others in alignment with security and scalability best practices.


* Develop and deploy cloud integrations for data platforms such as Databricks and Snowflake, including secure connectivity, role-based access, and automation pipelines.


* Build reusable infrastructure modules and deployment pipelines using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.


* Engineer automated solutions for notebook-based development environments (e.g., Jupyter, SageMaker) to support advanced analytics and data science use cases.


* Collaborate with product, data, and engineering teams to deliver cloud-native applications and reusable patterns that accelerate future innovation.


* Create system-level documentation, design diagrams, and deployment runbooks to ensure maintainability and scalability of delivered components.


* Apply Unix/Linux knowledge to build and troubleshoot compute environments and shell-based automation workflows.


* Partner with security and compliance teams to ensure that infrastructure and data workflows meet governance requirements from Day 1.


* Support user acceptance testing (UAT) and provide knowledge transfer to operations teams post-deployment



* 7+ years of experience designing, building, and deploying cloud-native solutions on AWS.


* Hands-on experience with integrating modern data platforms such as Databricks and Snowflake into enterprise cloud architectures.


* Proficiency in at least one scripting/programming language (e.g., Python, Bash) and experience working in notebook environments.


* Solid foundational knowledge of Unix/Linux systems and command-line tooling.


* Experience with infrastructure-as-code (IaC), CI/CD pipelines, and automation tools.


* Excellent understanding of security, networking, and identity management in a cloud context.


* Strong problem-solving skills and the ability to convert technical concepts into actionable project plans.

Preferred Qualifications:


* AWS certifications (e.g., Solutions Architect, DevOps Engineer).


* Familiarity with container-based deployment (ECS, EKS, Docker).


* Prior experience delivering projects under capital expenditure funding models.


* Knowledge of modern data architectures, including lakehouse and event-driven patterns.

About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale.

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