We are looking for a highly skilled Senior Cloud & DevOps Engineer with strong expertise in Python, Infrastructure as Code (IaC), Terraform, Ansible, and Elastic Stack, along with hands-on experience in GCC 2.0 and Ship Hats 2.0 frameworks. The ideal candidate will drive cloud automation, CI/CD maturity, and scalable infrastructure design while ensuring high availability and performance of enterprise systems.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP) using Infrastructure as Code (Terraform)
- Develop and maintain automation scripts and tools in Python
- Configure and manage Ansible-based provisioning and configuration management
- Build and optimize CI/CD pipelines for faster and reliable deployments
- Implement and manage monitoring, logging, and observability solutions using Elastic Stack (ELK)
- Ensure high availability, scalability, and security of cloud environments
- Work with cross-functional teams to support DevOps transformation initiatives
- Apply best practices aligned with GCC 2.0 (Global Cloud Capabilities) and Ship Hats 2.0 delivery frameworks
- Troubleshoot production issues and perform root cause analysis
- Drive continuous improvement and automation-first mindset
Job Requirements:
- 10+ years of experience in Cloud & DevOps engineering
- Strong hands-on experience with Python scripting,Terraform (IaC), Ansible, Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience with cloud platforms (AWS/Azure/GCP)
- Solid understanding of CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.)
- Experience with containerization & orchestration (Docker, Kubernetes preferred)
- Strong knowledge of Linux systems and networking fundamentals
- Familiarity with security best practices in cloud environments
Preferred Qualifications
- Experience working within GCC 2.0 frameworks (cloud governance, standardization, automation)
- Hands-on exposure to Ship Hats 2.0 methodologies (agile delivery, DevOps maturity models, engineering excellence practices)
- Certifications in cloud platforms (AWS/Azure/GCP)
- Experience with microservices architecture and API-driven systems
