Senior Cloud Operations Engineer

Role: Senior Cloud Operations Engineer
Positions: 1
Client Location: Onshore – US
Work Mode: Remote

 Job Summary

We are seeking a highly skilled Senior Cloud Operations Engineer to lead cloud infrastructure operations, implement SRE practices, and drive DevSecOps and FinOps initiatives. This is a hands-on individual contributor role requiring deep expertise in cloud technologies, infrastructure automation, and operational AI/ML implementation.

 Key Responsibilities

Cloud Operations & Infrastructure

• Design and manage enterprise-scale cloud infrastructure with backend application expertise.
• Optimize cloud environments for performance, scalability, reliability, and cost efficiency.
• Collaborate with development teams on infrastructure and application architecture.

Site Reliability Engineering (SRE)

• Implement SRE frameworks and enterprise observability solutions.
• Define and manage SLOs/SLIs for .NET applications.
• Utilize monitoring tools such as Prometheus, Grafana, and Datadog.
• Lead incident response and drive continuous improvement initiatives.

AI & Machine Learning Operations

• Build and deploy AI/ML models for operational use cases (predictive maintenance, anomaly detection).
• Ensure model governance, data security, and regulatory compliance.

DevSecOps & Security

• Assess and enhance CI/CD pipelines for security and operational excellence.
• Implement secure build/deployment pipelines with automated testing and security scanning.

FinOps & Cost Management

• Drive cloud cost optimization initiatives.
• Implement cost allocation, monitoring, and chargeback models.

Infrastructure as Code

• Develop reusable Terraform modules.
• Design Cloud Management Platform (CMP) architecture.
• Maintain automation, version control, and deployment best practices.

 Required Qualifications

• Extensive hands-on experience with public cloud platforms (AWS, Azure, Google Cloud Platform).
• Strong infrastructure management and backend architecture experience.
• Proven SRE framework and observability implementation experience.
• Deep understanding of .NET applications and performance optimization.
• Hands-on AI/ML experience for operational models with a focus on data security.
• DevSecOps expertise (secure CI/CD, security automation).
• FinOps and cloud cost management experience.
• Advanced Terraform proficiency.
• Strong programming skills (Python, Go, PowerShell).
• Experience with Docker and Kubernetes.
• Bachelor’s degree in Computer Science/Engineering or equivalent experience.

 Preferred Qualifications

• Cloud certifications (AWS/Azure/Google Cloud Platform).
• SRE or DevOps certifications.
• Multi-cloud and hybrid cloud experience.
• Experience in enterprise-scale, high-availability environments.

 Must-Have Skills

• 10+ years cloud/infrastructure experience
• Multi-cloud (AWS/Azure/Google Cloud Platform)
• Advanced Terraform
• SRE implementation
• Observability (Prometheus, Grafana, Datadog)
• .NET application performance optimization
• DevSecOps (secure CI/CD pipelines)
• FinOps/cloud cost optimization
• AI/ML operational implementation
• Kubernetes & Docker
• Python or Go scripting

Core Skills

• Cloud Infrastructure Architecture
• Terraform & Infrastructure as Code
• SRE & Monitoring
• DevSecOps & Security Automation
• FinOps Governance
• AI/ML for Operations
• .NET Performance Engineering
• Containerization
• Incident Management
• High Availability Systems