Results-driven AWS DevOps & Cloud Engineer with 4+ years of experience in designing and automating scalable cloud infrastructure. Expertise in AWS, Terraform, CI/CD pipelines, Docker, Kubernetes, and Linux environments. Leverages Generative AI to automate provisioning, enhance monitoring, and streamline incident analysis, delivering efficient and reliable cloud workflows.
Overview
4
4
years of professional experience
1
1
Certification
Work History
AWS DevOps Engineer
Vodafone Intelligent Solutions
Pune
01.2026 - Current
Managed AWS infrastructure including VPC, EC2, S3, RDS, IAM, CloudWatch, and ALB/NLB to maintain optimal performance.
Supporting infrastructure automation using Terraform and CI/CD pipelines.
Enhanced monitoring, alerting, and operational processes for production systems to improve reliability.
Operated in production cloud operations for large-scale, business-critical Vodafone platforms, ensuring high availability.
Performing root cause analysis (RCA) and implementing preventive actions to improve platform stability.
Collaborating with application, network, security, and operations teams to resolve issues and deliver changes safely.
Managed incidents, service requests, and change requests in ITIL-based operational environments.
Following change management, risk assessment, and operational governance processes.
AWS DevOps Engineer
Fujitsu Consulting India
Pune
02.2022 - 01.2026
Integrated AWS Bedrock and SageMaker pipelines to automate GenAI demo scenarios, summarize logs using NLP, and provide infrastructure optimization insights.
Managed CI/CD pipelines with Jenkins and GitLab CI to automate builds, QA, and deployments across environments.
Architect and automate AWS-based product demo environments using ECS, Lambda, S3, RDS, and DynamoDB with Terraform automation modules.
Developed Terraform blueprints to provision and decommission isolated AWS demo stacks automatically.
Built self-healing infrastructure using Lambda, CloudWatch alarms, and Systems Manager Automation.
Improved environment reliability with CloudWatch dashboards, X-Ray tracing, and automated alerting.
Integrated DevOps pipelines for hybrid demo solutions involving AWS.
Enabled App Config-based feature flag management and RBAC using IAM roles and KMS.
Collaborated with product SMEs to design GenAI demo use cases, such as intelligent configuration assistants and auto-documentation.