Lead DevOps Engineer with over 8+ years of expertise in Cloud and DevOps technologies, specializing in building from scratch and optimizing resilient AWS and GCP infrastructures for dynamic web applications like InVideo AI.
Proven track record in enhancing scalability, automation, performance,and cost-efficiency while driving successful deployment strategies.
Experienced in debugging and maintaining code with source control tools,ensuring high-quality application delivery. Committed to leveraging IT solution-building skills to foster innovation in fast-paced environments.
Architected solutions for two new AI applications for a leading UK mortgage company called Koodoo.
Worked on creating the infrastructure using IAC: Terraform.
Deployed using microservices architecture on Google Kubernetes Engine clusters.
Developed CI/CD pipelines, observability stack using Grafana,
Prometheus, Loki, and Google Cloud Monitoring.
Collaborated with development teams to ensure application
deployments were successful.
Created detailed documentation of processes, procedures, and DevOps standards utilized in the environment.
Assisted in developing architecture roadmaps for long-term IT initiatives.
Managed the roll-out of software updates across multiple servers in the environment.
Lead the team to obtain the ISO 27001 certification for Koodoo; this ensured that all the tools, technologies, and code are securely implemented.
Implemented DORA metrics for tracking the efficiency of the team.
Worked on optimizing the infra cost.
Worked on integrating the Hivel tool to empower SLT's decisions with data-driven insights, and keeping projects flawlessly on track.
MTTR & Uptime Optimization: Focused on reducing MTTR and improving system uptime through proactive monitoring and efficient incident response processes.
Joined InVideo as one of the pioneering members of the DevOps team, initiating and laying the groundwork for the company's Infra and DevOps practices. Witnessed the significant growth of these practices as the company flourished.
Personal Contribution:
Project: OTIF
OTIF is the tool designed for the P&G transportation risk analysis.
Developed and deployed specific component of application on Apache servers within the Azure environment
Projects Undertaken:
Philips Ice Cube
Client: Philips
Description:
Philips project involves migrating customer landscapes or applications to the AWS cloud using tools like Platespin Migrate and Racemi. These tools were utilized to facilitate the migration of Philips servers to the desired destination.
Technologies Used: AWS, Ansible, Platespin, Racemi
Personal Contribution:
Project Title: Confidental
Technologies Used: Ansible, AWS
Personal Contribution:
Project Title: ACAT
Description:
ACAT is a tool for deciding the application to be deployed on which PAAS platform or for deciding the server to be deployed on which Cloud.
Technology: AWS, PHP, Java.
Personal Contribution:
Worked on creating & deploying the application to deploy on Clouds like AWS, TAI.
Infrastructure Platform: AWS, GCP, Azure
Cloud Services: EC2, S3, IAM, VPC, RDS, Cloudformation, EKS, Virtual Machines, lambda, Cloudwatch
Tools: Terraform, Ansible, Docker, Kubernetes, Packer, Helm, PlateSpin, Racemi
CI/CD: Jenkins, Githhub Actions
OS: Ubuntu, Windows, RHEL, other Linux distributions
Databases: RDS, Redis , Elastic Search, MySQL
Monitoring: Datadog, Signoz, Cloudwatch, LGTM Stack, Prometheus, Grafana, ELK/EFK
Distributed Tracing system
Management Tools: Notion, Coda, Jira, Pivotal Tracker
VCS: GitHub, Bitbucket
I hereby declare that the information given is correct to the best of my Knowledge and belief.
AWS Developer Associate
Terraform, Ansible, Docker, Kubernetes, Packer, Helm, AWS GCP, Jenkins, Hivel, Jira
I am deeply interested in emerging technologies, especially in the areas of artificial intelligence and cloud computing I enjoy staying up-to-date with the latest developments in these fields, and I’m always looking for ways to apply new innovations to real-world problems