• Lead engineer in the devops organization working on multiple products.

• Leading the team of six engineers.

• Responsible for architecting the future of multiple applications.

• Setup nvidia GPU based kubernetes nodes for running machine learning imaging algorithms.

• Worked on ISMS ISO 27001 to comply with business, legal, contractual and regulatory requirements.

• Designed & worked on migrating the application to Kubernetes (AWS EKS) from legacy EC2.

• Added various monitoring tools to the kubernetes stack.

• Worked with DevSecOps in security assessments and fixing vulnerabilities.

• Migrated jenkins jobs to Github actions.

• Review and fix cybersecurity issues per quarter.

• Successfully saved AWS costs every year by about 10%.

• Built serverless web applications for tracking builds.

• Increased developer productivity by creating self service jenkins jobs to deploy on dev, qa environments.

• Gave multiple demos to various teams and lunch & learn sessions for dev, qa teams within the product.

• Trained in Scaled Agile (SAFe) methodology and actively using the knowledge in all the products.

• Manage & run product increments & sprints for devops team in multiple products.

• Meeting cross functional leads to discuss open issues, features and release related topics.

• Documenting & signing off paperwork needed for releases.

Tech: Docker, Kubernetes, Helm, AWS EKS, Terragrunt, Terraform, various AWS services & monitoring tools like Prometheus, Alertmanager, Grafana, Splunk, etc.

Leading the devops activities for https://www.navify.com/mutation-profiler/

Microservice architecture Deployed on AWS using Terraform.

AWS Stack: ALB, EC2 (Spot/on-demand/RI), Route53, ACM, KMS, SSM, IAM, S3, RDS, Cloudwatch, etc.

Packer for secure and hardened AMI configuration.

Ansible for microservice configuration management.

Jenkins, FPM, Ruby for Build/Packaging & Aptly for package repository management.

SumoLogic for logging.

VictorOps, icinga2 for alerting.

SecOps tools: Dome9, AWS Guardduty.

Okta for application identity management.

Cloudflare for website security & DDoS protection.

Programming Languages in use: Python, ruby, java

• Working in the productivity team as a build and test infrastructure engineer.

• Built a web app which applies analytics on the collected build and test metrics provided by the REST API’s of Teamcity.

• Wrote build scripts to make the build pipeline compatible with our private cloud.

• Developed an automatic test failure triaging mechanism to intelligently relate the failure to new or existing bugs.

• Created a slack bot to save developer time and ease the process of CI/CD pipeline.

• Containerized few build components to better manage dependencies and parallelize build pipeline.

• Added centos7.4/7.6 and rhel7.4/7.6 support for the managed openstack product and tested them thoroughly.

• Manage an inventory of servers running on different environments such as Openstack, ESXi and AWS.

• Technology Stack: Terraform, Ansible, Salt, Python2.7, Django1.11, AngularJS, Shell scripting, Openstack, Docker, Kubernetes, AWS, Vmware, Teamcity, Jira, Git.

• Built a full stack application which provisions different types of machines with appropriate build packages.

• The application features include scheduling of test jobs, reporting logs, machine cleanups, providing code coverage, providing analytics and reporting aspects needed by project managers, machine reservations, quota management, etc.

• Created several reporting features using angular2, html5, css3.

• Working on continuous delivery pipeline, automatic test job triaging & code coverage features of the application.

• Wrote a test scheduling mechanism for java and cpp based unit tests in docker to reduce unit testing time.

• Wrote monitoring scripts for health checks of all the core infrastructure components.

• Wrote multiple rest api’s and helpers using python and Django rest framework.

• Contributed in several core libraries such as esxi, rhev, vcenter and tintri’s vmstore.

• Managed multiple versions of vCenter in terms of compute, storage and intermittent issues.

• Upgraded Linux testing machines to latest centos flavor. Containerized the test virtual machine to parallelize jobs.

• Created a pool of ZFS disks into a vm for archival storage and maintained it.

• Developed log archiving based on policies so that a restricted number of logs be copied to servers used by offshore team.

• This internal application is the back bone of the entire organization.

• Mentored an intern during summer 2017 for some analytics on test recommendation based on developer changes.

• Technologies: Django, python, angularjs, elasticsearch, kibana, mysql, mongodb, redis, celery, rabbitmq, vmware, docker.