DevOps Engineer with Cloud & Data Analytics Expertise

SUJITHRA SUNDARAN

Dearborn, MI 313-***-**** **************@*****.*** LinkedIn: linkedin.com/in/sujithra-s-a75296137

PROFESSIONAL SUMMARY

DevOps Engineer with 6+ years of experience designing and optimizing CI/CD pipelines, automating software delivery processes, and improving system reliability in cloud environments. Strong expertise in AWS, Kubernetes, Terraform, and Python scripting with a proven track record of reducing deployment times, improving pipeline efficiency, and enabling scalable infrastructure. Experienced in integrating modern development workflows, enhancing SDLC processes, and collaborating across engineering teams to build secure, automated, and reliable systems. Additionally skilled in data analytics and machine learning fundamentals, enabling integration of data-driven insights and ML workflows into DevOps pipelines.

CORE SKILLS

CI/CD & DevOps: Jenkins, GitHub Actions, GitLab CI/CD, Nexus, SonarQube

Cloud Platforms: AWS (EC2, S3, Lambda, IAM, ELB, CloudWatch), IBM Cloud

Infrastructure as Code: Terraform, Ansible

Containers & Orchestration: Docker, Kubernetes

Scripting & Automation: Python, Bash, Shell

Monitoring & Logging: Splunk, Dynatrace, Nagios

Security: DevSecOps practices, vulnerability management, secure CI/CD pipelines

Data & ML Exposure: Python (Pandas, NumPy, Scikit-learn), ML basics, data pipelines

Concepts: SDLC Automation, Microservices, System Design, Version Control (Git)

PROFESSIONAL EXPERIENCE

DevOps Engineer IBM India Pvt Ltd Jan 2022 – Mar 2024

- Designed, developed, and optimized CI/CD pipelines, reducing deployment time by 40% and improving release reliability.

- Automated end-to-end deployment workflows, transforming manual and fragmented processes into a unified CI/CD system.

- Collaborated with development teams to enhance application compatibility within CI/CD pipelines, ensuring seamless integration.

- Implemented Infrastructure as Code (IaC) using Terraform and Ansible for scalable AWS infrastructure provisioning.

- Built and deployed containerized applications using Docker and Kubernetes to support microservices architectures.

- Integrated monitoring and logging solutions to proactively detect and resolve system issues.

- Developed Python-based automation scripts to streamline operations and reduce manual intervention.

- Applied security best practices within CI/CD pipelines, including access control, secure configurations, and vulnerability mitigation.

Infrastructure Specialist IBM India Pvt Ltd July 2018 – Dec 2021

- Managed enterprise infrastructure supporting 200+ servers, ensuring high availability and system reliability.

- Performed system hardening, patching, and compliance activities aligned with security standards.

- Automated operational tasks using Python and Shell scripting, improving efficiency and reducing downtime.

- Supported backup, disaster recovery, and failover strategies for critical systems.

- Enhanced monitoring and alerting systems to improve incident detection and response times.

PROJECTS

- CI/CD Pipeline Transformation: Designed automated pipelines integrating build, test, and deployment stages using GitHub Actions and Jenkins.

- Infrastructure Automation: Built reusable Terraform modules to provision AWS infrastructure.

- Predictive Monitoring System: Developed data-driven models to analyze logs and predict system failures.

- AI-Based Interview Assistant: Built conversational AI system demonstrating ML integration and workflow automation concepts.

EDUCATION

Master of Science in Applied Data Analytics – University of Detroit Mercy

Bachelor of Technology in Computer Science

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