Amrit K Bhattarai Email & Phone Number

Colombus, Oh

• Promoted DevSecOps & SRE Principles: Enhanced CI/CD pipelines using Jenkins and GitHub Actions. Integrated observability tools (Prometheus, Grafana) for improved reliability.• Kubernetes Expertise: Deployed applications on EKS for auto-scaling and high availability. Implemented container monitoring with Prometheus.• Infrastructure as Code (IaC): Automated cloud infrastructure using Terraform, ensuring scalable and repeatable deployment processes.• Build Automation & Microservices: Managed builds with Maven, Gradle, and Jenkins. Deployed microservices on AWS and Azure using Kubernetes, ArgoCD, and Helm.• Cloud Infrastructure: Designed and deployed on AWS (EC2, EMR, S3, RDS) using Terraform and CDK for efficient infrastructure management. Integrated New Relic for observability.• Azure & AWS CDK: Defined RBAC policies with Azure CDK; used AWS CDK for reusable cloud resources.• API & Microservices: Led secure API design using gRPC/REST. Developed cloud-native, scalable applications using Spring Boot and Spring Cloud.• Kafka Clusters: Built and managed highly available Kafka clusters for reliable data streaming.• Security & Compliance: Integrated cybersecurity best practices across development pipelines. Ensured NIST & HIPAA compliance on AWS.Tech Stack: Java, Spring Boot, MySQL, Docker, Kubernetes (EKS), Terraform, AWS CDK, Azure, Jenkins, GitHub Actions, Prometheus, Grafana, New Relic, Zipkin.

Lincoln, Ne

• CI/CD Pipelines: Developed automated CI/CD pipelines using Azure DevOps and GitHub Actions for Python applications, integrating build, test, and deployment processes.• Azure Infrastructure: Provisioned and managed Azure services (VMs, Functions, Blob Storage, ARM, Azure SQL DB, AAD) using Python, Terraform, and the Azure SDK.• Microservices Architecture: Designed and deployed microservices on Azure AKS with Kubernetes, optimizing autoscaling and high availability for enhanced performance and scalability.• Infrastructure as Code (IaC): Implemented IaC using Terraform for automated deployment of Azure resources, including AKS clusters, virtual networks, and NSGs.• Real-time Data Processing: Utilized Azure Event Hubs and Service Bus for event-driven architecture in real-time data solutions. Built and managed data pipelines with Azure Data Factory and Python libraries (Pandas, NumPy, PySpark).• Monitoring & Logging: Set up comprehensive monitoring using Azure Monitor, Application Insights, and Log Analytics for infrastructure and applications.• Serverless Applications: Developed and deployed serverless applications with Python using Azure Functions, API Management, Logic Apps, and Cosmos DB.• Cloud Operations Automation: Automated tasks like VM scaling, disk snapshots, and backup management using Python and Azure SDK.• Access Control: Managed Azure AD roles and policies with Terraform for secure access in cloud environments.• Code Quality: Implemented unit testing and quality checks with Python's unittest, pytest, and pylint, reducing bugs by 30%.Tech Stack: Python, Flask, Git, Azure (DevOps, AKS, Event Hubs, Functions, Blob Storage, Cosmos DB), Terraform, Kubernetes, Docker, Azure SDK, PySpark.

Kathmandu, Bāgmatī, Nepal

• Developed Restful APIs using Spring Boot for SIEM (Security Information and Event Management) portal to provide API endpoints for the frontend. • Built and managed multi-threaded Java applications using Java, Kafka, Elasticsearch, and ElastAlert to collect and analyze security-related data.• Set up Prometheus and Grafana for monitoring Kubernetes clusters, creating custom dashboards to visualize cluster performance and application metrics.• Experienced in building Docker images across multiple stacks (Java, Node.js, Python) microservices-based applications, following message-based communication, and event-driven architectures.• Maintained documentation for multi-cloud infrastructure (AWS and Azure) configurations and automation workflows, enabling knowledge sharing and ensuring efficient system maintenance.• Managed and maintained Kubernetes clusters in production environments, ensuring high availability and scalability.• Proven ability to articulate complex technical concepts to both technical and non-technical audiences, fostering a collaborative and efficient working environment essential for successful DevOps and cloud operations.Technologies Used: Java, Spring Boot, RDS, MySQL, IntelliJ, Git, SQS/SNS, VPC, Farget), Containerization (Docker) and Container Orchestration (Kubernetes), AWS (Load Balancing, Autoscaling, Lambda, IAM policies/roles, ALB/NLB)

Kathmandu, Bāgmatī, Nepal

• Application Development: Built video streaming apps (NetTV, myWorldlink) in Java and Python for web, mobile, and smart TVs, achieving over 100k downloads.• Front-End Development: Enhanced user interfaces using React and Bootstrap, improving responsiveness across platforms.• CI/CD Pipelines: Developed CI/CD pipeline with Jenkins, deploying applications to AWS EKS clusters using Terraform.• Legacy System Migration: Played a key role in migrating legacy systems to AWS, utilizing Route 53, S3, and API Gateway, reducing infrastructure costs by 25%.• Cross-Functional Collaboration: Worked with developers, system admins, and QA teams in a fast-paced Agile Scrum environment to streamline deployments and resolve integration issues.• Backend Services: Created RESTful APIs using Spring Boot, optimizing response times and boosting overall application performance.• Kubernetes & Security: Implemented network policies in Kubernetes for enhanced security and isolation. Managed IAM and RBAC for secure cluster access.• Monitoring & Tracing: Configured Splunk and integrated OpenTelemetry for log analysis, monitoring, and end-to-end application visibility.• Digital Payment Optimization: Improved digital payment channels, streamlining post-paid bill transactions through the Khalti Customer App.• Serverless & Performance Optimization: Integrated CloudFront for content delivery and Lambda for serverless architecture, reducing server load by 35%.Tech Stack: Java, Python, React, Bootstrap, Jenkins, AWS (EKS, Route 53, S3, API Gateway, Lambda, CloudFront), Terraform, Spring Boot, Kubernetes, Splunk, OpenTelemetry.

Kathmandu, Bāgmatī, Nepal

Infrastructure Management: Designed, developed, deployed, and maintained IT/Software Development infrastructure to support efficient operations.• Java Backend Development: Contributed to the Infra Monitoring System project, leveraging Java and Python for monitoring national and international network devices.• Task Ticket Management System: Developed backend services for the Task Ticket Management System using Java (Spring Boot, Hibernate) and MySQL.• Performance Tuning: Optimized system performance through hardware upgrades, resource allocation (CPU, memory, disk), and data center environment monitoring.• Solution Design: Addressed key design issues such as concurrency control, event handling, component distribution, error handling, fault tolerance, interaction, and data persistence.Technologies Used: Java (Spring Boot, Hibernate), Python, Jenkins, MySQL, Jira, Nagios, React, Git, GitHub, JUnit.

Kathmandu, Bāgmatī, Nepal

• Issue Resolution: Identified and resolved connectivity, performance, and security issues to ensure uninterrupted network and server operations. Utilized SolarWinds for infrastructure monitoring.• Linux Systems Management: Administered Linux-based systems, including hardware, software, LVM, networking, LDAP, and storage. Experienced with VMware and Hyper-V BareMetal hypervisors.• Windows Server Administration: Managed users and devices on Windows Server 2012 R2 for seamless operations.Technologies Used: SolarWinds, Linux, LVM, VMware, Hyper-V, Windows Server 2012 R2.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science

Bachelor'S Degree, Computer Science