Anurag Tamrakar

Senior Software Engineer

Precisely•  October 2020 - Present

Designated as Senior Software Engineer I (Individual Contributor) with the role of Senior DevOps Engineer: - Working on Supply Chain Security. - Facilitating Ephemeral Environments in pipelines. - Developing Centralized CI/CD Processes and GitOps. - Implementing Multi-Tenancy in Kubernetes.Designated as Senior Software Engineer I (Individual Contributor) with the role of Senior DevOps: - Working on Supply Chain Security. - Facilitating Ephemeral Environments in pipelines. - Developing Centralized CI/CD Processes and GitOps. - Implementing Multi-Tenancy in Kubernetes. Skills: Chainguard · Loft · Codefresh · Kubernetes · Amazon Web Services (AWS) · GitOps · Gitlab · Shell Scripting · Python

Software Engineer

Sourcefuse Technologies•  March 2020 - September 2020

Worked as DevOps Engineer cum Solutions architect across multiple projects. - Provisioning Cloud Infrastructure under HIPAA and PCI DSS compliance considerations. - Architecting Deployment solutions, Settings up CI/CD pipelines, Monitoring, logging, APM, ChatOps, Escalation policies, Infrastructure and application failure alerts on collaboration channels. - Performance management and tuning of web applications & APIs, Right sizing and cost optimization of cloud infrastructure. - Securing web applications at every level, Implementing security solutions on Cloud Infrastructure and network. - Migrating services and applications from on premise data center to AWS Cloud - Automating day-to-day DevOps tasks.

DevOps Intern

Pitney Bowes•  April 2019 - March 2020

Deployment, Monitoring, Production support and Performance management of Payment Gateway APIs, Working closely with Team leads, Architects, Development / QA Teams and Stakeholders. Contributing in deployment solutions, optimization and enhancement of current Worked with the DevOps team which rolls out processes and solutions across the organisation and Consulting High availability deployment solutions to world-class mailing and shipping product teams.

DevOps Intern

LinuxWorld Informatics•  June 2018 - April 2019

Artificial Intelligence, Machine Learning, Deep Learning Implementation of High Performance Distributed Computing for BIG DATA – Batch Processing Using Hadoop Framework & Real Time Processing Using Spark and Running Applications on Large Clusters under containerized Docker Engine deployed by DevOps – Ansible - Super Computing Operational Intelligence Tool Splunk – Future Prediction • Understand Big Data & Hadoop Ecosystem • Hadoop Distributed File System - HDFS, How to install, configure and manage a multi-node Hadoop cluster • Use Map Reduce API and write common algorithms using Python • Managing and Monitoring Hadoop Cluster • Configuring Hadoop in the cloud and troubleshooting a multi-node Hadoop cluster • Linux System, Server and Security Administration tasks • Docker clustering and Ansible • Splunk the data Intelligence tool