Senior Devops And Cloud Engineer

Job Description Senior Cloud DevOps Engineer

Role: Senior Cloud DevOps Engineer

Experience: 10–15 Years

Role Overview:

We are looking for an experienced Senior Cloud DevOps Engineer responsible for designing, implementing, automating, and managing secure, scalable, and highly available cloud infrastructure. The ideal candidate will have strong expertise in multi-cloud environments, DevOps automation, Kubernetes, CI/CD, Infrastructure as Code, DevSecOps, and Site Reliability Engineering (SRE) practices.

Key Responsibilities:

Design, build, and maintain scalable cloud infrastructure across Azure and AWS platforms

Develop and optimize CI/CD pipelines to enable faster and reliable software delivery

Manage containerized applications using Kubernetes, Docker, and cloud-native technologies

Implement Infrastructure as Code (IaC) solutions using tools like Terraform, ARM templates, or similar technologies

Automate deployment, configuration management, monitoring, and operational processes

Drive DevSecOps practices by integrating security, compliance, and vulnerability management into delivery pipelines

Implement monitoring, logging, alerting, and observability solutions to improve platform reliability

Apply SRE principles to enhance availability, performance, and incident management

Optimize cloud resources, improve scalability, and support cost optimization initiatives

Collaborate with engineering teams to enable cloud adoption and platform modernization

Provide technical guidance and mentor junior DevOps engineers

Required Skills & Experience:

10–15 years of experience in Cloud Engineering, DevOps, Platform Engineering, or SRE

Strong hands-on experience with Azure and AWS cloud services

Expertise in:

Kubernetes & Docker

CI/CD tools (Azure DevOps, Jenkins, GitHub Actions, GitLab CI)

Infrastructure as Code (Terraform preferred)

Linux administration and scripting (Shell/Python)

Cloud networking, security, IAM, and automation

Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Azure Monitor, CloudWatch, or equivalent

Strong understanding of cloud security, high availability, disaster recovery, and automation best practices

Preferred Skills:

Experience working with multi-cloud environments

Exposure to AI/ML workloads on cloud platforms

Knowledge of healthcare, enterprise, or large-scale application platforms

Experience driving cloud transformation and automation initiatives

Key Competencies:

Strong problem-solving and troubleshooting skills

Ability to design scalable cloud solutions

Excellent communication and collaboration skills

Ownership mindset with focus on reliability and continuous improvement