DevOps Engineer specializing in Cloud CI/CD (Azure, AWS)

SHRIRAM BENDE

Bengaluru, India +91-914******* ***********@*****.*** LinkedIn

Profile Summary:

• DevOps Engineer with 1+ years of Experience in designing, automating and managing cloud infrastructure on AWS and Azure using Infrastructure as Code (Terraform).

• Automated end-to-end CI/CD pipelines across AWS and Azure environments, reducing manual deployment effort by

~60% and improving release reliability for multiple microservices.

• Managed containerized workloads on Kubernetes (AKS/EKS) with automated build, registry, and deployment workflows using Docker, Terraform, and CI/CD pipelines.

• Implemented secure cloud infrastructure and secret management using Azure Key Vault, IAM, and RBAC, improving security posture and eliminating hardcoded credentials.

• Strong Understanding of SDLC Processes, including requirement analysis, system Design, deployment Automation, testing integration, release management and production support.

• Strong expertise in CI/CD pipeline development, serverless architectures, containerized workloads, and Site Reliability Engineering (SRE) practices.

• Experienced in automating and supporting GenAI workloads, including RAG-based deployments, LangChain, LangGraph, and vector database integrations for intelligent data retrieval and agentic AI applications

• Exposure to agile development environments with active collaboration between development, QA and operation teams

• Actively collaborated with development, QA, and operations teams in an agile environment, mentoring developers and delivering CI/CD pipelines that streamlined build, test, and deployment cycles Work Experience:

• Working as an Associate Software Engineer (DevOps) at Proeffective IT Services from February 2025 – Present Projects:

Project name: Healthcare Platform

Company: Client Project

Duration: Feb 2026 – Current

Responsibility: DevOps Engineer

• Built 7+ Azure DevOps CI/CD pipelines for microservices (API, Services, Orthanc, OHIF viewer, DB migration, web apps), automating build and deployment workflows and reducing manual deployment effort by ~60%.

• Automated container build and deployment using Docker, Azure Container Registry (ACR), and AKS, improving release speed and enabling fully automated deployments across 3+ environments.

• Deployed and managed 10+ Kubernetes workloads on AKS, configuring deployments, services, ingress, and health probes to ensure stable production releases.

• Implemented Azure Key Vault–based secret management, migrating 20+ sensitive variables from pipelines to secure vault-based injection Injected secrets from Azure Key Vault into AKS deployments using automated pipeline workflows.

• Integrated Azure Blob Storage with AKS using Blob CSI driver, enabling automated storage and retrieval of medical imaging data (DICOM files) from Orthanc.

• Implemented Persistent Volumes (PV) and Persistent Volume Claims (PVC) to support shared storage across services, improving reliability of containerized workloads.

• Implemented monitoring and log analysis using Azure Monitor and Log Analytics, enabling faster debugging and reducing incident resolution time by ~40%.

• Resolved critical production issues including 502 ingress errors, container crashes, and health probe misconfigurations, improving application availability and deployment stability.

• Deployed frontend applications to Azure Blob Storage with CDN, improving application performance and reducing infrastructure management overhead.

• Optimized CI/CD workflows by separating build stages and controlling pipeline triggers, reducing build failures and improving deployment success rate.

• Standardized environment configuration and database connectivity for containerized services, validating runtime variables inside pods and ensuring consistent application deployment across development and staging environments. Project name: Talent-GPT

Company: Proeffective IT Services, Bengaluru

Duration: Oct 2025 – Jan 2026

Responsibility: DevOps Engineer

• An AI-driven talent filtering platform that leverages RAG and PineCone vector search to identify and rank the most suitable candidates from thousands of resumes based on contextual relevance and job fit.

• Built and automated a RAG-based serverless architecture using AWS Lambda, API Gateway, and Pinecone vector search for intelligent resume matching.

• Built an end-to-end Bitbucket CI/CD pipeline to automate Lambda packaging, S3 uploads, and Terraform deployment across multiple environments with secure secret handling and zero manual intervention.

• Provisioned complete infrastructure using Terraform with modular and reusable components across multiple environments.

• Optimized Lambda deployment through Docker-based dependency layering, reducing package size and speeding up build and deployment cycles.

Project name: MyFroyoLand Mobile Application

Company: Client Project

Duration: May 2025 – Sep 2025

Responsibility: DevOps Engineer

• Migrated the entire infrastructure and deployment workflow from manual steps to fully automated and version- controlled processes using Terraform and Bitbucket Pipelines

• Built reusable Terraform modules, reduced environment provisioning time by ~60% and eliminated duplicate code.

• Implemented serverless architecture using AWS Lambda, API Gateway, and S3 for static asset hosting.

• Adopted serverless (AWS Lambda, API Gateway, Cloud Functions) for event-driven workloads reduced operational overhead and infrastructure costs by 20–25%.

• Ensured infrastructure was clean, minimal and Production Ready.

• Trained developers and handed over CI/CD pipelines to automate building, testing, and deploying code to the server. Project name: VYU Tool

Company: Proeffective IT Services, Bengaluru

Duration: April 2025 – August 2025

Responsibility: DevOps Engineer

• VYU is a data visualization and exploration platform that lets users analyse raw query results in structured, real-time tabular reports for validation, auditing, and operational decision-making.

• Developed and maintained BitBucket Pipeline for automating build, test and deployment workflows across multiple environments for VYU which is java-based application.

• Designed and maintained multi-account AWS infrastructure using reusable Terraform modules, reducing infrastructure provisioning time by ~60%.

• Managed secrets and environment specific variables securely using Terraform across multiple AWS Accounts.

• Setup separate AWS accounts for different environments to ensure isolation, security and cost management across the application lifecycle.

• Configured and maintained networking components such as VPCs, subnets, route tables and Security groups to support cloud infrastructure

• Maintained infrastructure documentation and ensured compliance with best practices and security standards.

• Ensured Terraform state management and remote backend were securely configured and versioned across team member.

• Monitored pipeline runs and infrastructure health, identifying and resolving bottlenecks or failures in deployment workflows.

• Used blue-green and canary deployment strategies enable zero-downtime rollouts and faster rollback in case of failures.

• Implemented immutable Docker images and Terraform IaC to ensured consistent, repeatable deployments and eliminated reconfiguration delays.

Project name: Proeffective IT Services Portal Website Company: Proeffective IT Services, Bengaluru

Duration: March 2025 – April 2025

Responsibility: Cloud Infrastructure Engineer

• Built AWS infrastructure using Terraform to host the company portal website on S3 with secure, scalable, and cost- optimized architecture.

• Integrated AWS Lambda and API Gateway to support backend API functionality.

• Automated deployment of website builds files to S3 through Terraform, ensuring quick, consistent, and repeatable provisioning.

• Transformed a previously manual deployment process into a fully automated IaC-driven workflow, significantly reducing release time and operational overhead.

Technical Skills:

• Cloud Platforms:

AWS: EC2, Lambda, ECS, EKS, ECR, S3, VPC, Networking, IAM, Secrets Manager, CloudWatch, SNS, API Gateway, EventBridge

Azure: VM, Functions, AKS, ACA, ACR, Blob Storage, VNet, Networking, Front Door, Key Vault, ACS, Monitor, RBAC, Application Gateway

• DevOps Tools: Docker, Kubernetes, Terraform

• Programming & Scripting: Python, Bash, Shell Scripting, PowerShell

• CI/CD Pipelines: BitBucket Pipelines, GitHub Actions, Azure DevOps, Jenkins

• GenAI & AI Infrastructure: RAG, PineCone Vector Database, LangChain, LangGraph, MLOps, Autogen

• Version Control: Git, GitHub, Azure Repo, Bitbucket

• Security & Networking: Subnets, Route Table, Security Groups, DNS, CDN, VPN, TCP/IP, Firewalls

• Collaboration & Communication Tools: Jira, Slack, Microsoft Teams Education:

Bachelor of Technology in Mechanical CGPA: 8.54/10 GPA: 3.52/4 Lakshmi Narain College of Technology, Bhopal (M.P.), India Aug 2019 – June 2022

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