Devops Engineer Software Development

Varsha B

DevOps Engineer

Mobile: 856-***-**** ****************@*****.***

Experience Summary:

A driven DevOps Engineer with 7+ years of experience in commercial software development, system administration, and AWS solutions. Expertise in infrastructure design, cloud migration, and security. Known for being an independent, organized, and adaptable professional with a passion for implementing cutting-edge technologies and best practices to harden cloud infrastructures. A proven leader capable of quickly mastering new technologies and driving successful outcomes. Eager to apply vast expertise in programming languages, cloud technologies, and organizational leadership to make a tangible impact and meet business goals.

Certifications:

Microsoft Certified Azure Fundamentals

Technical Skills:

Cloud Platforms: AWS, Azure, VMware vSphere

CI/CD Tools: Jenkins, GitLab, Azure DevOps, GitHub Actions

Containerization/Orchestration: Docker, Kubernetes

Infrastructure as Code (IaC): Terraform, Ansible

Scripting Languages: Python, Bash, PowerShell

Monitoring & Logging: AWS CloudWatch, Prometheus, AWS CloudTrail

Version Control: Git, Subversion

Databases: MySQL, Amazon RDS

Other Tools: Maven, Ant, vSphere, Active Directory, Kubernetes Cronjobs, Prometheus.

Project Experience:

Client: Food Sciences Corporation, Mount Laurel, NJ Duration: June 2022 to Present

Role: AWS DevOps Engineer

Established and optimized CI/CD pipelines using GitHub Actions, Jenkins, and customized configurations, automating the build, test, and deployment processes for multiple microservices.

Streamlined eCommerce workflows, integrated with BitBucket and Artifactory for version control and artifact management, and utilized SonarQube for continuous code quality checks, enabling faster, more reliable releases and ensuring efficient, secure, and scalable deployments across development, staging, and production environments.

Integrated multiple eCommerce platforms (WooCommerce, Shopify, BioCare) with RESTful APIs and webhooks for automating customer order processing, leveraging AWS services such as EC2, RDS, S3, SNS/SQS for messaging and asynchronous communication, and deployed both containerized solutions using EKS/ECS and serverless architectures with Lambda, API Gateway, and AppSync to ensure scalable, efficient, and real-time order synchronization and processing.

Designed and implemented an automated order release process using Python, AWS Lambda, and API Gateway, integrating WooCommerce, Shopify, and BioCare to optimize order handling, with a focus on AWS IAM for security and access management.

Containerized services (order management, invoice management, product maintenance, and shipping) using Docker and orchestrated using Kubernetes for scalability and consistency across environments. Ensured proper container management to meet deployment needs in highly clustered environments.

Used Docker Compose for local development and multi-container application orchestration, simplifying the development lifecycle for microservices.

Automated order validation and inventory allocation through Kubernetes-managed services, ensuring stock availability and data accuracy for fulfillment.

Developed and managed Inventory Management services using Kubernetes Cronjobs for real-time stock updates, leveraging Prometheus for proactive monitoring of inventory levels and performance.

Implemented and managed Datadog for centralized logging, monitoring, and alerting, enabling proactive issue detection and quick resolution across distributed microservices and cloud infrastructure.

Configured and monitored VMs on vSphere, setting alarms for performance thresholds and resource limits to ensure proactive issue resolution.

Developed Python scripts to fetch and update order statuses across multiple eCommerce platforms (Shopify, Magento, WooCommerce), automating real-time synchronization of tracking information.

Experience with infrastructure scripting solutions such as Python and PowerShell for automating various operations, ensuring repeatable and error-free deployments.

Helped the QT team update receipt status of WIPs in the ERP system using SQL, ensuring expired WIPs were excluded from current testing, enhancing the accuracy of testing processes, and optimizing production quality.

Managed Active Directory for user permissions and access control, ensuring secure authentication for systems and resources.

Utilized AWS CloudWatch for monitoring application performance and set up alerts, using AWS CloudTrail for logging API calls and ensuring security compliance.

Implemented Terraform and Ansible for automating infrastructure provisioning and management across AWS environment, following Infrastructure-as-Code principles.

Wrote and optimized complex SQL queries and views, improving query performance and reducing execution time by analyzing query plans and implementing indexing strategies.

Managed e-commerce applications and ERP systems, automating order processing, inventory syncing, and customer notifications while applying security practices to safeguard sensitive data.

Client: Accenture-Cigna, India Duration: Dec 2018 – Apr 2022

Role: DevOps/Cloud Engineer

Implemented CI/CD pipelines using Jenkins to automate the deployment of health insurance application updates, ensuring seamless feature delivery and bug fixes for customer-facing and internal systems.

Containerized health insurance application components (Front-End services, back-end services, databases) using Docker, enabling efficient deployment and scaling.

Used agile methodology throughout the project. Involved in weekly and daily bases release management.

Managed multiple AWS accounts with multiple VPC’s for both production and non-prod where primary objectives include automation, build out, integration and cost control.

Deployed containerized services on Amazon EKS for orchestration, auto-scaling, and high availability, ensuring uninterrupted service delivery.

Monitored services (Claims, Billing, Enrollment) using AWS CloudWatch, implementing auto-scaling policies to maintain reliability during varying traffic volumes.

Implemented robust security measures (IAM roles, VPC security groups, encryption) to protect sensitive health insurance data, including medical records and payment information.

Deployed and maintained web servers, databases, and caching layers on AWS EC2 instances and RDS databases, ensuring low-latency, high-availability service delivery.

Developed Ansible Roles to configure, deploy and maintain software components of the existing infrastructure.

Expertise in integrating various data sources, including syslogs, application logs, network logs, and cloud data into Splunk for centralized monitoring.

Architected and implemented automated pipelines within AWS CodePipeline for Docker container deployments in AWS ECS, seamlessly integrating services like CloudFormation, CodeBuild, CodeDeploy, and S3.

Implemented and improved monitoring and alerting systems using tools like Prometheus, Grafana, and ELK stack, ensuring proactive identification and resolution of performance issues, reducing downtime by 20%.

Expertise in setting up and managing Azure DevOps (ADO) pipelines for Continuous Integration (CI) and Continuous Delivery (CD) to automate build, test, and deployment processes.

Leveraged Azure Resource Manager (ARM) templates and Terraform to automate the provisioning and management of infrastructure on Azure, reducing manual configuration errors and enabling scalable, repeatable environments.

Provisioned and configured Azure Virtual Machines (VMs), Azure Blob Storage, Azure Load Balancers, and Virtual Networks for secure and scalable cloud infrastructure.

Utilized Azure Networking (VPN Gateway, NSG, and Route Tables) for secure connectivity and optimized traffic routing between services.

Configured Azure Active Directory (Azure AD) for role-based access control (RBAC), ensuring secure and compliant user authentication and authorization.

Managed Azure Key Vault for securely storing and accessing secrets, keys, and certificates in CI/CD pipelines.

Set up Azure Monitor for end-to-end monitoring of applications, services, and infrastructure, ensuring high availability and optimized performance.

Integrated Azure Log Analytics and Azure Application Insights for real-time monitoring, performance analysis, and troubleshooting of applications running in Azure.

Client: Keypoint Technologies, Hyderabad, India Duration: Mar 2018 – Dec 2018

Role: Jr. Developer

Involved in developing both front-end and back-end systems for the TransFlow application using PHP, JavaScript, HTML, CSS (front-end) and MySQL (back-end).

Responsible for the design and maintenance of Subversion/GIT repositories, views, and access control strategies.

Performed day-to-day support for Subversion/GIT across different projects, ensuring smooth integration of changes.

Developed and enhanced the automated configuration management system, improving development workflows.

Utilized Ant and Maven for software builds and configured Jenkins for continuous integration.

Managed the build system, resolving merging issues during builds and releases by collaborating with developers and managers.

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