Apr 2022 – Dec 2022 · 8 mos

• Demonstrated strong leadership in coordinating cross-functional teams and driving continuous improvement in deployment practices. Used tools like Node.js to create new tools, deploy applications (in Lambda and Kubernetes cluster), and automate tools in conjunction with Python. Built a new Jenkins job while maintaining the old job’s build step using shell scripting.
• ✔ Streamlined the deployment lifecycle of the Jenkins instance using Terraform.
• ✔ Enabled the easy tracking of customer installations by developing an internal monitoring tool using Python.
• ✔ Mitigated inaccurate data by rolling out data quality checks which verified data at the source and destination.
• ✔ Automated development operations by developing and implementing new tools in Node.js and Python.
• ✔ Employed the Principle of Least Privilege while designing and creating cross-account and application roles separately.

Jun 2021 – Apr 2022 · 10 mos

Jul 2017 – Jun 2021 · 3 yrs 11 mos

• Spearheaded the rollout of powerful new process improvements which successfully slashed costs while improving overall efficiency and effectiveness. Ensured a cohesive approach to all progress by delivering new insights and recommendations regarding architectural changes and product decisions for product offerings at technical meetings.
• ✔ Slashed unnecessary costs for AWS by locating under-utilized resources and more cost-effective AWS resources.
• ✔ Delivered new multi-master and multi-worker Kubernetes clusters for the production environment.
• ✔ Increased automation for development operations using new Node.js and Python tools that reduced ops manual work by 50%.
• ✔ Designed highly scalable, fault-tolerant, highly available, secure, distributed infrastructure (IAAS) using Elastic Beanstalk.

Mar 2016 – Jul 2017 · 1 yr 4 mos · Bengaluru Area, India

• Employed EC2 instances and EBS during the consistent design of highly scalable, fault-tolerant, highly available, and secure distributed infrastructure (IAAS). Reacted to any encountered issues within the Google Cloud Compute Platform and AWS by monitoring performance and deploying new patches and fixes. Utilized Continuous Integration for product applications (using Codeship, Jenkins, and CircleCI). Used BigQuery and Python during data cleaning for big data.
• ✔ Reduced costs by steering the seamless migration of OptimaHub from AWS to GCP.
• ✔ Automated multiple cloud applications using Ansible and Python.

Nov 2014 – Feb 2016 · 1 yr 3 mos · Noida, Uttar Pradesh, India

• Search engineer who believes search is not about the keywords!
• Monitored and responded to incidents by reviewing the log monitoring service using elastic search, logstash, and kibana. Tracked the performance of and supported Web-Service for requests from solr and restricted direct access to the search server.
• ✔ Implemented a variety of process improvements including reducing search time through search algorithm optimization.
• ✔ Resolved an ongoing cache problem by refreshing the intent core directly resulting in the reduction of the refresh rate from six months to 15 days despite growth in core size from 8M to 20M records.
• ✔ Earned the Employee of the Month award in June 2015.