Devops Engineer with 2+ years in Cloud Operations & Kubernetes
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cloud Operations Engineer with nearly 2 years of hands-on experience supporting AWS-based production environments, Kubernetes workloads, CI/CD pipelines, and 24x7 operations. Experienced in responding to P1/P2 incidents, performing root cause analysis, troubleshooting Linux systems, and monitoring application and infrastructure health using Datadog and CloudWatch. Proven ability to collaborate across teams, automate operational tasks, and maintain high service availability. Passionate about reliability engineering and eager to grow within Cloud Operations and SRE environments.
University College of Engineering Tindivanam
Bachelor of Engineering · Computer Science and Engineering
August 1, 2019 – June 1, 2023
PDI Technologies
CloudOps Engineer I
June 1, 2025 – Present
Chennai, Tamil Nadu, India
Convergent
DevOps Engineer Intern
November 1, 2024 – April 1, 2025
Chennai, Tamil Nadu, India
Robolabs
Cloud Engineer Intern
July 1, 2022 – December 1, 2022
India
CI/CD Pipeline Automation
June 19, 2026 – Present
Developed an end-to-end Jenkins pipeline integrated with GitHub webhooks for automated build and deployment processes. Containerized applications using Docker to ensure consistency across environments. Implemented SonarQube quality gates to prevent deployment of low-quality code.
AWS Infrastructure Automation
June 19, 2026 – Present
Provisioned AWS infrastructure using Terraform, enabling repeatable and version-controlled deployments. Configured CloudWatch dashboards and alarms for proactive monitoring. Implemented IAM policies and security group configurations following AWS security best practices.
Cultural Fit Analysis
The candidate's project diversity, including CI/CD pipeline automation and AWS infrastructure automation, along with their professional experience as a CloudOps Engineer and DevOps Intern, shows a strong alignment with a DevOps culture. Their passion for reliability engineering and eagerness to grow within Cloud Operations and SRE environments suggests a proactive and learning-oriented mindset, which is a good cultural fit for dynamic technical teams. The breadth of skills across cloud platforms, containers, CI/CD, monitoring, and ITSM indicates adaptability and a holistic approach to operations.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in 24x7 incident response, SLA compliance, and proactive monitoring. Their ability to collaborate across teams, create RCA documentation, and automate operational tasks indicates good problem-solving, communication, and efficiency-driven soft skills. The focus on reducing monitoring noise and optimizing alerts also points to a proactive and analytical approach.