Lead Cloud Engineer/ SRE / DevOps Engineer
spglobal
Job Description
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 AWS and Azure.
- 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 AWSAzure.
- 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
- Cloud engineering certifications (AWS, Terraform) are a plus.
- Excellent communication and problem-solving skills.
Minimum Qualifications:
- Bachelor’s Degree in Computer Science or equivalent experience.
- Minimum of 8+ 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.
- Ability to work collaboratively in a fast-paced environment.