Kaniska PSS Nagraj

- Leading CYBAGE ALM/DevOps CoE

- Enabling CICD pipelines using Jenkins and AWS native services like Code Deploy, Code Pipeline etc.

- Deployment of containerized workloads on AWS EKS cluster

- Written Terraform scripts for project specific needs

- Worked on CircleCI for DataOps (Apache Airflow, Matallion, Big Query)

- AWS Braket Quantum PoC for customer solution proposal

- Maintenance of Atlassian products, Linux servers, helping DevOps team in resolving complex issues

- Participated extensively in presales efforts on DevOps transformation proposals that includes discovery, estimations, R&D, PoC, Demos, devising Cloud solutions and DevOps implementations

- Strategizing, Training, Mentoring & Coaching DevOps & Cloud teams, Responsibilities includes ALM maturity program and governing enterprise agility with custom ALM tools

- Training on DevOps tooling’s, defining technology roadmap and ensuring competency development and R&D on latest DevOps tools and technologies

- Automation for SSL, Domain Name expiry alert notifications

- API automation implemented using Python

- Integrated Acunetix into CI/CD pipeline for implementing DevSecOps

- Implemented Ansible and GIT for the project deliverables

- Implemented OpenNMS for infra monitoring

- OS hardening of the servers after VAPT

- Setup application server monitoring using Nagios

- Integrated different tools like maven, nexus. Working knowledge on static code analysis tool like SonarQube

- Provisioning cloud environments using Terraform

- Helped making the development, testing and production environments more consistent by implementing container technology using Docker

- Hosted TestLink, Redmine for the specific project with LDAP enabled

- Guided the team to use Subversion for version control

- Maintainer of VMware Cloud, for provisioning virtual machines as per requirement

- Publicly Hosted ownCloud with CollaboraOnline for data storage, after VAPT

- Let’s Encrypt SSL enabled for the NextCloud instance

- Proactively identified and resolved performance bottlenecks for a new application development team before it went to production