- Drastically improved observability through the use of monitoring and alerting technologies such as Prometheus, Grafana, ELK stack and PagerDuty
- Go-to guy for Kibana watchers, visualizations and scripted fields
- Made use of Prometheus exporters like node exporter and blackbox exporter to ensure that the bank is running smoothly, utilized grok exporter to make custom metrics when off-the-shelf solutions just won't do
- Documented and democratized knowledge of monitoring tools through runbooks, knowledge transfer sessions, and day-to-day interaction
- Ensured that knowledge is always documented and the docs are always up-to-date
- Participated in 24/7 on-call roster and commanded production incidents
- Participated in post-mortem sessions and worked on action items to ensure incidents won't reoccur
- Participated and led disaster recovery drills
- Became subject matter expert of Core Banking Database, improved tooling, added custom metrics, and made changes to fix issues with vendor's scripts
- Monitored and managed Red Hat Enterprise Linux (RHEL) VMs and OpenShift microservices
- Wrote scripts for tooling and automation in python and bash, reviewed scripts of other SREs
- Managed AWS SNS - SMS, ensured proper cost limits are in place and set up CloudWatch dashboards integrated with PagerDuty to notify the team
- Reduced AWS monthly spend by creating a guide for the marketing team to better understand how SMS billing works and how to format the SMS blasts accordingly, which resulted in significantly lower cost per blast (-75% from previous month)
- Collaborated with developers, architects, database administrators and other SREs to ensure that components of the bank are built with resiliency in mind
- Interfaced with colleagues from Singapore, Poland, Romania and the Netherlands

Attended the Cadetship Program and ranked 3rd in the Core Training section

Assigned to Service Engineering and Operations as a Service Engineer for PayMaya Payment Gateway Team

- Set up, manage, and maintain infrastructure on Amazon Web Services EC2, ECS, Lambda, etc. including security patches and OS hardening
- Reduced error discovery time to <5m using Slack and MS Teams monitoring bots, with 100% of production issues found through it
- Migrated services to ECS from EC2
- Set up a Continuous Integration and Deployment Pipeline using Jenkins and CodePipeline, which is now the main pipeline for services.
- Created Splunk scripts for monitoring and data visualizations
- Performed advanced log processing using Splunk
- Created and managed Puppet configurations for servers
- Responsible for advanced monitoring of PayMaya QR and onboarding of merchants
- Identified issues using logs and various metrics (Splunk, New Relic, Dynatrace)
- Facilitated the AWS SAM module configuration, build, and deployment of the PayMaya Payment Gateway Shopify Connector
- Discussed and gave pointers regarding Docker and ECS setup, infrastructure, and deployment with Service Engineers from other teams
- Created various scripts for AWS Lambda using Ruby, Python, NodeJS and Go, as well as Bash scripts for servers. These scripts range from monitoring, service discovery and deployment to database queries and troubleshooting of servers.
- Participated in regular hardening of servers
- Facilitated load testing on Payment Gateway services
- Participated in meetings and gave suggestions regarding architecture, infrastructure and implementation of services
- Participated in 24/7 on call rotation
- Used Terraform to create and manage the whole infrastructure stack of Load Testing environment and facilitated Terraform adoption across all environments
- Documented infrastructure configurations of Payment Gateway services

• Worked with the Quality and Control department to improve and/or automate (via VBA) their Excel worksheets and create new ones from scratch to help increase productivity and optimize business processes
• Finished multiple projects for the two Quality sub-departments , including the automation of their main forms and workflow
• Finished multiple projects for the Control sub-department which helped them properly track and automate their various sweeps
• Automated the entitlements document to easily transfer data from multiple sources to the master sheet
• Created an automated points calculator that calculates how many points an employee would have, given their statistics