Chennuri Sandeep
@chennurisandeep
Experienced DevOps Engineer with expertise in AWS and cloud solutions.
What I'm looking for
I am a DevOps Engineer with over 5 years of experience in the IT industry, specializing in cloud infrastructure and CI/CD pipelines. My journey has been marked by a commitment to designing scalable solutions and collaborating with cross-functional teams to deliver high-impact results. I have honed my skills in AWS, where I have successfully managed and optimized cloud resources, ensuring high availability and performance.
Throughout my career, I have worked extensively with tools like Terraform, Jenkins, and Kubernetes, implementing best practices for infrastructure as code and continuous integration. My experience includes deploying and managing applications on AWS, creating custom monitoring solutions with Grafana and Prometheus, and automating processes to enhance efficiency. I am passionate about leveraging my technical expertise to drive innovation and improve operational workflows.
Experience
Work history, roles, and key accomplishments
DevOps Engineer
Principal Global Services Pvt Ltd
Dec 2021 - Present (3 years 8 months)
Designed and managed Kubernetes workloads using Amazon EKS, ensuring high availability and seamless application scaling across multiple availability zones. Built CI/CD pipelines in Jenkins for deploying containerized applications to Amazon EKS, reducing manual intervention and increasing deployment efficiency.
DevOps Engineer
Cognizant
Apr 2019 - Present (6 years 4 months)
Launched Amazon EC2 Instances using Amazon Web Services (Linux/Ubuntu) with CLI and created VPC, Security groups, and Network ACL’s. Responsible for creating SNS topics and sending alerts to defined subscribers as per business standards.
Education
Degrees, certifications, and relevant coursework
NEFT University
Bachelor of Computer Science, Computer Science
Completed a Bachelor of Computer Science degree, gaining foundational knowledge in various aspects of computing. Focused on core computer science principles and their applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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