Devops Engineer Cloud

Keerthana Ramany

Cloud DevOps Engineer

Location: Tennessee, USA Ph: 814-***-**** Mail: *********.******@*****.*** LinkedIn

PROFESSIONAL SUMMARY:

4+ years of experience as a Cloud DevOps Engineer with expertise in Azure and AWS, specializing in CI/CD pipelines, Kubernetes, Infrastructure as Code (Terraform, Bicep, CloudFormation), security (Azure Security Center, Microsoft Defender for Cloud, IAM, Azure AD, MFA, RBAC, AWS Shield, WAF), monitoring (Azure Monitor, Log Analytics, Prometheus, Grafana, ELK Stack), configuration management (Ansible, Chef, Puppet), containerization (Docker, Helm), version control (GitHub Actions, Azure DevOps), automated testing (Selenium, JUnit, Azure Test Plans), and scripting (Python, Bash).

TECHNICAL SKILLS:

Cloud Platforms:

Microsoft Azure, AWS

Infrastructure as Code (IaC):

Terraform, Bicep, CloudFormation

CI/CD & Automation:

Azure DevOps, GitHub Actions, Jenkins

Containerization & Orchestration:

Kubernetes, Azure Kubernetes Service (AKS), Helm, Docker

Monitoring & Logging:

Azure Monitor, Log Analytics, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)

Security & Compliance:

Azure Security Center, Microsoft Defender for Cloud, IAM, RBAC, Multi-Factor Authentication (MFA), AWS Shield, Web Application Firewall (WAF)

Configuration Management:

Ansible, Chef, Puppet

Scripting & Automation :

Python, Bash

Testing & Quality Assurance:

Selenium, JUnit, Azure Test Plans

Networking & Load Balancing:

AWS Shield, Web Application Firewall (WAF), Auto-Scaling Policies

Version Control & Artifact Management:

GitHub, Nexus, JFrog Artifactory

Operating Systems:

Windows, Linux, Mac iOS

EDUCATION:

Masters in Computers and information Systems - Christian Brothers University, Memphsi, TN, USA.

Bachelor of Business Administration - Lovely Professional University, Punjab, India.

PROFESSIONAL EXPERIENCE:

UnitedHealthcare Group – TN Feb 2023 – Present

Cloud DevOps Engineer

Optimized deployment processes, reducing deployment time by 60% through Azure DevOps CI/CD pipelines with automated testing, ensuring faster and more reliable software releases.

Enhanced system uptime to 99.99% by fine-tuning Azure Kubernetes Service (AKS) clusters with horizontal pod autoscaling (HPA) and vertical pod autoscaling (VPA) to dynamically adjust workloads.

Worked in Agile/Scrum teams, participating in sprints, stand-ups, and retrospectives to drive timely software delivery.

Lowered cloud operational costs by 35% through the implementation of Infrastructure as Code (IaC) strategies using Terraform and Bicep, automating resource provisioning and reducing manual overhead.

Design of big data pipelines using Apache Spark and SparkSQL to process and transform data used in data lake infrastructure, ensuring high-performance processing and analytics of data.

Developed scalable microservices with Spring Boot, integrating REST APIs and databases (MySQL, MongoDB).

Designed end-to-end data ingestion pipelines with Apache Spark API, which boosted data throughput by 30% and provided low-latency data processing.

Applied security best practices for AWS deployments that adhere to industry standards like HIPAA and GDPR when handling sensitive data, such as the installation of encryption, access, and logging audit.

Proficient in C, C#, Java, Python, Go, and experienced with Shell/Perl scripting for automation and data processing.

Designed and implemented data lake architecture on AWS S3 and integrated with AWS Glue for ETL data processes, offering large-scale data storage and real-time analytics for business intelligence.

Integrated GitHub Actions with Azure DevOps, streamlining source code versioning, build automation, and deployment orchestration, improving collaboration across development teams.

Implemented Azure Security Center and Microsoft Defender for Cloud, ensuring HIPAA, HITRUST, and NIST compliance by conducting continuous security assessments and applying remediation strategies.

Strengthened identity and access management (IAM) by configuring Azure Active Directory (Azure AD), Multi-Factor Authentication (MFA), and RBAC policies, preventing unauthorized access and ensuring secure authentication.

Developed real-time monitoring and alerting systems using Azure Monitor, Log Analytics, Prometheus, and Grafana, proactively identifying performance bottlenecks and reducing incident resolution time by 40%.

Designed and deployed containerized healthcare applications using Kubernetes, Helm Charts, and Docker, ensuring high availability, scalability, and compliance with healthcare industry standards.

Automated configuration management across cloud environments by utilizing Ansible, Chef, and Puppet, enforcing standardized system configurations and reducing misconfigurations by 50%.

Executed comprehensive automated testing strategies using Selenium, JUnit, and Azure Test Plans, improving software reliability and reducing production defects by 45%.

Developed Python-based automation scripts for log analysis, infrastructure monitoring, and deployment rollbacks, reducing manual intervention in cloud operations by 70%.

Smart AI – India Mar 2020 - Apr 2022

DevOps Engineer

Designed and implemented robust AWS infrastructure solutions using CloudFormation and Terraform, achieving a 30% reduction in provisioning time and enhancing infrastructure reliability to support critical banking applications.

Maintained continuous integration & continuous deployment (CI/CD) pipelines in Jenkins, resulting in a 40% increase in deployment frequency, thereby accelerating the delivery of new features & compliance updates for financial application

Implemented comprehensive monitoring and alerting systems using Prometheus and Grafana, leading to a 25% reduction in incident response time & ensuring high availability of banking services through proactive issue resolution.

Managed AWS Identity and Access Management (IAM) policies and security groups, ensuring strict adherence to PCI DSS and ISO 27001 standards, thereby safeguarding sensitive financial data and maintaining regulatory compliance.

Containerized banking applications using Docker and orchestrated them with Kubernetes, resulting in a 35% improvement in resource utilization and enabling seamless scaling of applications during peak transaction periods.

Performed regular security assessments utilizing OWASP tools to identify and mitigate vulnerabilities in banking applications, enhancing the overall security posture and protecting customer data.

Developed automation scripts in Python and Bash for routine operational tasks, achieving a time savings of approximately 15 hours per week, which allowed the team to focus on strategic initiatives and system improvements.

Configured the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging, improving log analysis efficiency by 40% and enabling faster troubleshooting of issues within banking applications.

Established artifact management processes using Nexus and JFrog Artifactory, significantly streamlining build processes and ensuring version control for deployment artifacts in compliance with banking regulations.

Developed and implemented auto-scaling policies for EC2 instances, ensuring high availability and performance of banking applications during peak loads, thus enhancing customer experience.

Managed network security using AWS Shield and Web Application Firewall (WAF), effectively protecting banking applications from DDoS attacks and ensuring uninterrupted service delivery to customers.

Contact this candidate