Lead DevOps Cloud Engineer

Summary
Join a pioneering team dedicated to building and enhancing Generative AI platform at S&P Global, serving over 30,000 employees. This technical role involves designing and developing cutting-edge software, including web applications, data pipelines, big data, AI technologies, and multi-cloud solutions. It's an opportunity to drive growth, advance your skills, and transform our approach to Generative AI.

The Team
Our global team is tasked with the architecture, design, development, quality assurance, and maintenance of internal Generative AI-based platforms. Recognized for expertise, innovation, and passion, you will work collaboratively to achieve ambitious goals and push the boundaries of technology.

The Impact
You will play a key role in developing a state-of-the-art Generative AI platform that empowers our 30,000+ internal users. Your contributions will also extend to leading or participating in workshops aimed at broadening the adoption of Generative AI across various roles within the company.

What's In It For You

• Career Development: Build a meaningful career with a leading global company at the forefront of technology.
• Dynamic Work Environment: Work in an environment that is dynamic and forward-thinking, directly contributing to innovative solutions.
• Skill Enhancement: Enhance your software development skills on an enterprise-level platform.
• Versatile Experience: Gain full-stack experience and exposure to cloud technologies.
• Leadership Opportunities: Mentor peers and influence the product's future as part of a skilled team.
• Work Flexibility: Benefit from a flexible work arrangement, balancing office time with the option to work from home.
• Community Engagement: Utilize five paid days for charity work or volunteering, supporting your passion for community service.

Responsibilities:

• Design and implement cloud solutions using Azure& AWS.
• Develop and maintain Infrastructure as Code (IAC) with Terraform.
• Create and manage CI/CD pipelines using GitHub Actions and Azure DevOps.
• Automate deployment processes and provisioning of compute instances and storage.
• Orchestrate container deployments with Kubernetes.
• Develop automation scripts in Python, PowerShell, and Bash.
• Monitor and optimize cloud resources for performance and cost-efficiency using tools like Datadog and Splunk.
• Configure Security Groups, IAM policies, and roles in AWS\Azure.
• Troubleshoot production issues and ensure system reliability.
• Collaborate with development teams to integrate DevOps and MLOps practices.
• Create comprehensive documentation and provide technical guidance.
• Continuously evaluate and integrate new AWS services and technologies
• Excellent communication and problem-solving skills.
• Ability to work collaboratively in a fast-paced environment.

Minimum Qualifications:

• Bachelor's Degree in Computer Science or equivalent experience.
• Minimum of five years in cloud engineering, DevOps, or Site Reliability Engineering (SRE).
• Hands-on experience with AWS and Azure cloud services, including IAM, Compute, Storage, ELB, RDS, VPC, TGW, Route 53, ACM, Serverless computing, Containerization, CloudWatch, CloudTrail, SQS, and SNS.
• Experience with configuration management tools like Ansible, Chef, or Puppet.
• Proficiency in Infrastructure as Code (IAC) using Terraform.
• Strong background in CI/CD pipelines using GitHub Actions and Azure DevOps.
• Knowledge of MLOps or LLMops practices.
• Proficient in scripting languages: Python, PowerShell, Bash.

Preferred Qualifications:

• Advanced degree in a technical field.
• Extensive experience with ReactJS and modern web technologies.
• Proven leadership in agile and project management.
• Advanced knowledge of CI/CD and industry best practices in software development.