Sameeri Mamillapalli

4 Years of experience with Cognizant as an Azure Cloud & DevOps engineer. Proficient in CI/CD pipeline creation using Azure DevOps, infrastructure automation with IAC tools like ARM templates and terraform. Working experience in Azure App Services, Azure Virtual Networking, Key Vaults, Virtual Machines, Azure Storage Accounts, Azure Entra ID, Azure Kubernetes.

Adept in source control management using Git. Strong collaborator with a passion for streamlining DevOps processes, enabling seamless application delivery and reliable infrastructure.

Azure Devops Engineer - Cognizant - Chennai, India

(2022-08)

• Designing, implementing, and managing CI/CD pipelines to automate software delivery processes that streamline integration, testing and deployment, ensuring code quality and rapid feature delivery.
• Authoring YAML templates for modular and reusable pipeline designs, enhancing consistency and scalability across projects.
• Facilitating collaboration between development and operations teams to improve deployment processes and increase efficiency.
• Manage permissions for Artifact feeds to consume different artifacts from upstream sources.
• Managing self-hosted agent pools and deployment pools by registering virtual machines as build agents and deployment targets.
• Writing infrastructure code using IAC tools like Terraform to automate infrastructure provisioning.
• Performing incremental upgrades on infrastructure using organization defined terraform modules which enforces MMS (Minimum mandatory security) configuration to ensure secure infrastructure.
• Proficient in distributed version control tools like Git, GitHub and Azure Repos.
• Enforced branch policies to restrict direct commits to main branches ensuring pull request for each commit with minimum reviewers set.
• Experienced in branching strategies to manage code movements across environments.
• Implementing security best practices, such as infrastructure hardening, vulnerability scanning, and secrets management.
• AKS vulnerability assessments using Aqua Security and Nexus IQ, identifying and remediating security gaps to ensure compliance with organizational and industry standards.
• Managed ADO permissions by setting up custom groups with granular access following least privilege principle.
• Worked on creating multiple types of service connections such as ARM (service principal manual/automated/federated), docker registry and custom service connections for private cloud.
• Supported Helm-based Kubernetes deployments in AKS, validating Helm charts, optimizing resource configurations, and collaborating with release managers to ensure successful, zero-downtime deployments.
• Implemented observability and performance tracking using Azure Monitor, Log Analytics, Prometheus, and Application Insights, authoring KQL queries and dashboards for proactive detection and alerting.
• Developed Azure Workbooks dashboards for real-time visibility into cost optimization, resource utilization, and deployment health metrics.
• Utilized Azure Boards to enhance collaboration with developers, ensuring seamless tracking of work items, bugs, and user stories.
• Leveraging Microsoft Azure to build and manage scalable and resilient infrastructure.
• Managed overall 30+ Azure DevOps projects, 50+ Azure Subscriptions and 100+ App registrations.

Machine Learning Engineer - MothersonSumi Infotech and Design

(2021-04 - 2021-07)

• Designed and developed AI-driven automation prototypes using Python, OpenCV, and tensorflow, applying machine learning to streamline candidate evaluation processes.
• Created a video analytics proof of concept (POC) that automated candidate assessments, improving review accuracy by 30% and reducing manual effort.
• Built and trained deep learning models for image and video data analysis, enhancing decision-making in HR automation workflows.
• Collaborated with cross-functional innovation teams to integrate ML models into enterprise solutions and deliver production-ready prototypes.

B-Tech - Computer Science Engineering - Centurion University of Technology and Management (2018 - 2022)