Akhil K M
DevOps Engineer, From India
About Me
- Full Name:Akhil K M
- Phone:+91 9496075168
- Email:akhilu011@gmail.com
- Website:https://akhilkm
- Location:India, Bengaluru
Hello There!
I've started my professional career on February 2016 as Cloud support engineer and was involved in supporting around 15 projects running in popular cloud platforms. This improves my ability to work and coordinate with multiple teams to help them on various escalations and reduce manual work by implementing automation to their daily work.
At present I have advanced knowledge on many aspects of DevOps stacks including Virtualization/Cloud, Automation, CI/CD, Monitoring, DataBase Administration, Centralized logging, Managing SLAs etc. OpenSource projects deployments, applications development, building, testing and improvement - these are the number of skills every day I'm work with and in what I'm improving my abilities constantly.
My Resume
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Work Experience
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2020 - Current
Senior DevOps Engineer
Sitecore
Bangalore, IndiaWorked as a DevOps Engineer: Managing production Deployment and Internal Systems
* Containarisation with Docker
* IAC using Terraform
* Jenkins and codeship for Continuous Integration
* Kubernetes and ECS Deployment
* AWS Infrastructure
* EFK and Cloudwatch for Logging
* NewRelic for monitoring
* Ververica Flink Cluster management
* Chaos Engineering with AWS FIS and custom scripts -
2018 - 2020
DevOps Engineer
Kognitiv
Bangalore, IndiaWorked as a DevOps Engineer: Managing production Deployment and Internal Systems
* Container orchestration with docker
* Jenkins for Continuous Integration
* Kubernetes Deployment
* AWS, Azure and GCP Infrastructure
* ElasticSearch and Kibana for Logging
* Nagios for Blackbox Monitoring
* Flink Cluster management
* Cluster management InfluxDB
* Shell / Python Script for automation tasks -
2017 - 2018
Developer/ DevOps Engineer
Kuberiter
Trivandrum, IndiaWorked as a DevOps Engineer/ Python developer: Managing production Deployment and Application Developent
* Architecture design of cloud environment
* Application development: python CGI
* Managing AWS Infrastructure
* Kubernetes/ Jenkins and Docker automation
* AWS CloudWatch for monitoring
* Shell script for automation
* Nexus artifactory integration
* JAVA Build tools (SBT/ MVN)
* MongoDB management and maintenance
* Backup management
* AMI automation using Packer -
2016 - 2017
Cloud Engineer
REANCloud
Hyderabad, IndiaWorked as a Cloud Support Engineer: Monitoring and Maintenance of Cloud Applications
* AWS Infrastructure management
* Jenkins for Continuous Integration
* Monitoring: CloudWatch, DataDog, StackDriver
* Website monitoring using pingdom
* ElasticSearch and Kibana for Logging
* Ansible automation
* Backup management
* Ticketing systems: Jira, SalesForce, ServiceNow
* Managing Sophos UTM firewall
* SLA based services
* Client On-Boarding
* Gluster file system management
* Shell / Python Script for automation tasks -
Education
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2015 - 2016
Certifications
AWS Certifications (YJGBVNVCLN111JWB)
* AWS Certified Solutions Architect - Associate
* AWS Certified SysOps Administrator - Associate
* AWS Certified Developer - AssociateRedhat Certifications (150-142-263)
* RedHat Certified System Administrator (RHCSA)
* RedHat Certified Engineer (RHCE)
* RedHat Certified System Administrator OpenStack
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2011 - 2015
BACHELOR'S DEGREE
MG University
Kottayam, IndiaComputer Science and Engineering
* CGPA: 6.78
* Project: Sentiment analysis of twitter data using hadoop -
2007 - 2009
Higher Secondary
Vimala Public School
Thodupuzha, IndiaComputer Science
* Percentage: 84%
* Project: IPL Team management portal
Hire Me!
Cloud Architecture
Architecture Design and maintenance of highly available and fault tolerant applications on both public and private cloud.
DevOps
Works with software development teams to shorten the development life cycle and provide CI/CD with high software quality.
Support
Help teams to fix issues on running production/ development applications by maintaining SLAs.
Infra Monitoring
Monitoring of live applications running in both On-Premise and cloud with the help of a wide verity of monitoring tools.
Containerization
Helps infrastructure teams to move their applications from a primitive OS deployment into a modern Containerized manner.
Serverless Computing
Helps teams to deploy code without the hassle of worrying about the underlying infrastructure, with the help of various cloud technologies.