Abhishek Bhadoria
Software Developer DevOps Engineer
Gwalior
Summary
Dynamic DevOps and Cloud Engineer with extensive hands-on experience in designing, automating, and optimizing multi-cloud infrastructures across AWS and Microsoft Azure. Expertise in building scalable containerized applications utilizing ECS Fargate, Azure Container Apps, and core Kubernetes principles. Proficient in CI/CD pipelines with tools such as GitHub Actions, Jenkins, and Azure DevOps, alongside a strong command of Infrastructure as Code methodologies using Terraform, AWS CDK, and Azure Bicep. A solid background in automation, observability, and cloud security complements a proven track record of delivering production-ready systems, including an AI-powered voice assistant that integrates modern DevOps practices to enhance resilience, efficiency, and cost optimization.
Overview
3
3
years of professional experience
4
4
Certifications
2
2
Languages
Work History
DevOps Engineer
Birbal AI
09.2024 - Current
- Multi-Cloud Infrastructure Architecture: Architected and deployed resilient, scalable infrastructure across both AWS and Microsoft Azure. Leveraged AWS ECS Fargate and Azure Container Apps for serverless container orchestration, ensuring high availability and abstracting away server management.
- High-Performance Data Solutions: Implemented and managed high-throughput, low-latency data tiers using managed cloud services, including AWS RDS Aurora for relational workloads and Azure Cache for Redis (compatible with Valkey) for in-memory caching.
- CI/CD & DevOps Automation: Engineered robust, multi-stage CI/CD pipelines using GitHub Actions and Azure DevOps. Automated the entire build, test, and deployment lifecycle for containerized applications, significantly improving deployment frequency and reliability.
- Infrastructure as Code (IaC) & Governance: Championed IaC principles by using Terraform to define and provision resources declaratively across both AWS and Azure. Developed custom AWS CDK constructs and Azure Bicep templates for reusable infrastructure patterns.
- AI Workflow Integration: Led the technical implementation of an AI-powered voice assistant, integrating it with backend services and business logic using n8n automation workflows to create a seamless, end-to-end automated booking system.
- Unified Monitoring & Observability: Established a centralized observability platform using Prometheus and Grafana. Integrated native cloud monitoring services like AWS CloudWatch and Azure Monitor to gain comprehensive insights into application performance and infrastructure health.
- Cloud Security & Cost Management: Strengthened security posture by implementing the principle of least privilege using AWS IAM and Azure Role-Based Access Control (RBAC). Proactively managed and optimized cloud expenditure through resource rightsizing and Auto Scaling policies.
Software Engineer (QA, SDET, Automation)
Xperi
10.2022 - 04.2024
- Cloud Core Project Streamers QE
- Developed stand alone API for new mind project called OPENAPI
- Successfully implemented scripts to automate repetitive tasks, checking API responses.
- Worked on development of internal tool used by user and clients of the organization.
- Developed and maintained Jenkins pipelines for continuous integration and delivery CI/CD.
- Technologies Used: Python, Selenium, Jenkins, splunk, jira, pytest, confluence, git, postman
Education
Bachelor of Technology - Computer Science
Lovely Professional University
Jalandhar, Punjab07.2023
XII - undefined
Bright Public H.S.School
Gwalior, Madhya Pradesh04.2019
X - undefined
No. 1 Air Force School
Gwalior, Madhya Pradesh03.2016
Skills
Cloud & Infrastructure AWS (ECS Fargate, RDS Aurora, ALB, CloudWatch, IAM, S3, Auto Scaling, Secrets Manager) Azure (Container Apps, Azure Monitor, Azure DevOps, RBAC, Azure Cache for Redis) Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep
DevOps & Automation CI/CD: GitHub Actions, Jenkins, Azure DevOps Containerization: Docker, Kubernetes (basics) Configuration & Automation: Python, Shell Scripting, n8n automation workflows
Monitoring & Observability Prometheus, Grafana, Splunk, AWS CloudWatch, Azure Monitor
Testing & QA (Past Experience) Selenium, Pytest, Automation Testing, Manual Testing, Postman API Testing, API Automation, Test Framework Development
Development FastAPI (REST & WebSocket services), ReactJS API Development, Microservices, OpenAPI
Core Technical Foundations Data Structures & Algorithms, OOPS, DBMS
Linux operating system
undefinedCertification
Data Structures and Algorithms (06/2020 - 12/2020) by GeeksforGeeks
Interests
Latest AI technology, Data Structures And Algorithms, 80's, 90's music, Adventurous Trips, Cricket
EXTRA-CURRICULAR ACTIVITIES AND ACHIEVEMENTS
HackerEarth 3 star coder and solved around 100+ problems GeeksForGeeks Ranked under 100 and solved Data Structure & Algorithm module HackerRank Solved C & C++ programming problems
Accomplishments
- Multi-Cloud Infrastructure Delivery: Architected and deployed scalable solutions across AWS and Azure, improving system resilience and reducing deployment time by 40%.
- AI Automation: Led the development of an AI-powered voice assistant booking system with n8n workflows, streamlining operations and reducing manual overhead.
- CI/CD Excellence: Built automated pipelines with GitHub Actions, Jenkins, and Azure DevOps, accelerating release cycles and ensuring reliable deployments.
- Monitoring & Observability: Integrated Prometheus, Grafana, AWS CloudWatch, and Azure Monitor, cutting incident resolution time by 30%.
- Coding Competitions:
HackerEarth — 3★ coder, solved 100+ problems.
GeeksForGeeks — Ranked under 100 in Data Structures & Algorithms module.
HackerRank — Solved advanced C & C++ programming challenges.
Timeline
DevOps Engineer
Birbal AI
09.2024 - Current
Software Engineer (QA, SDET, Automation)
Xperi
10.2022 - 04.2024
XII - undefined
Bright Public H.S.School
X - undefined
No. 1 Air Force School
Bachelor of Technology - Computer Science
Lovely Professional University
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