Oct 2023 – Feb 2025 · 1 yr 4 mos

• ● Design Active/Active architecture entirely on Gitops , with minimal cost
• ● Self Manage Kafka on Kubernetes at scale. 90% savings on existing burn
• ● Gitops (Successfully managed an entire bank account with read only access to aws console)
• ● Built custom logging solution reducing 70% of cost ( 220k $ to 60K $ for 1 TB ingestion per day).
• ● Improved Developers productivity by moving to DevTron open source platform
• ● Using Kubecost open source platform, improved my Savings plan utilisation from 60% to 90%
• ● Lead the development and maintenance of SRE platforms, toolsets, and infrastructure, ensuring they are robust, scalable,
• aligned with organizational needs and they improve developers productivity
• ● Drive the adoption of SRE best practices, including automation, monitoring, and incident response.

Aug 2021 – Oct 2023 · 2 yrs 2 mos

• Improve Dev to Devops ratio ( 50:1)
• 1.Automated Transition from Imported ACM Certificates to Amazon Issued ACM
• 2.Server Patching and Maintenance Automation:
• 3.Database Updates and Deletion Workflow Integration:
• 4.Infrastructure as Code (IaC) with Terraform:Leveraged Terraform for Day Zero infrastructure
• provisioning, enabling efficient resource deployment and management.
• 5.EKS Cluster Upgrades:Managed Kubernetes version upgrades for EKS clusters, ensuring compatibility
• and security in an environment where new versions were released every three months.
• 6.Control Tower Architecture for Enhanced Security:Introduced a Control Tower architecture to eliminate
• and reduce security vulnerabilities resulting from DevOps oversights, enhancing overall system
• security.
• 7.Self-Service Handover to Development Teams.Enabled development teams to create NS and EW
• routes for new microservices independently, streamlining network management.Microservice
• Onboarding with Helm Charts:
• 8.Developed standardized monitoring templates covering metrics such as 5xx and 4xx responses,
• latencies, pod restarts, and Apdex score, empowering development teams to maintain application
• health.

Sep 2019 – Aug 2021 · 1 yr 11 mos

• Achievements :
• 1. Moving from Kops to AWS EKS
• 2. UAT, Beta and Prod on all same version of AWS EKS and Kong
• 3. Database Migration from CloudMongo to PCI certified Atlas MongoDb
• 4. Setup Two certified PCI environments from scratch
• 5. Moving from NewRelic to Datadog to reduce 50% cost
• 6. Containerisation of Kong Api Gateways
• 7. Setting up observability end to end from scratch (Infra, Application, Logging, Alerts, Visualization,RCA’s, SLO,Incident and Major Incidents
• 8. DR Drills Compliance by using chaos engineering
• Devops Operational Excellence:
• Automated ssl certificate renewal on elb’s/cloudfront via ci/cd
• MTTD: 5 mins
• MTTR: 30 mins
• Meeting developers infra requirements within 48hrs
• Managing infrastructure as code via terraform
• ◦ Kong upgrades
• ◦ Setting up new infra from scratch (VPC, Subnets, EKS clusters, Eks Nodes, Security groups )
• ◦ Mutual ssl certificate changes
• ◦ AWS system manager to automate patching on servers
• Costs:
• Reduced 50% of aws bill by implementing the below:
• 1. Savings Plan combined with reservations
• 2. Using spot instances in Beta/Uat environment
• 3. Using AMD based processors instead of Intel
• 4. Judiciously utilising S3 bucket policies
• 5. Automated removal of unused EBS volumes
• 6. Covering RDS, Elasticsearch, Elastic cache under reservations
• Process Improvements:
• Reduced Dev – SRE interactions by 40% by creating FAQ’s
• Automated jira tickets by email to track all Dev’s requests
• SLA tracking, escalation process of all Dev Requirements
• Vendor Negotiations :
• Negotiated with Datadog to cover our App/Infra monitoring at 50% of the NewRelic Cost
• Centralising the MongoDb Databases , helped save 30% of the costs
• Reduced our daily logging from 500GB to 100GB per day, which saved us 60% of the costs
• Moving the NOC from Dedicated to Shared model , helped us reduce 60% of the costs

May 2017 – Aug 2019 · 2 yrs 3 mos · Bengaluru Area, India

• Build observability into micro services ecosystem for tracing and debugging
• Observability platform:
• Monitoring: Prometheus, Sensu
• Alerting/visualisation: Grafana, PagerDuty
• Distributed systems tracing infrastructure using New Relic
• Logging: Graylog
• Build Observability on below Infra components:
• Mesos Master
• Mesos Slaves
• Marathon
• HAProxy/MLB's
• Unbound
• PDNS
• Git
• Artifactory
• Mesos-ZK
• Kafka
• Reduce MTTD(Mean time to Detect) and MTTR(Mean time to Recover) for production issues using the observability platform
• Reduce the cost - CPU/ memory/ EBS by analysing capacity
• Reduce S3 storage cost using custom boto 3 scripts, AWS Analytics
• Explore open source and other options to meet our automation requirements
• Taking architectural decisions for building highly available and large scale distributed systems
• Kong/Repose to throttle api traffic
• Hysterix for Circuit Breakers
• HA-Proxy/Ngnix for loadbalancing/Routing
• Read / Write Traffic on Database servers
• When to use shared vs dedicated database servers
• What metrics to monitor
• Using Redis cache to give breather for databases
• Experience in Sprint cycles / Planning using Jira
• Interacting with Internal and External Auditors for ITGC
• Auditing IAM Users ( Active and De-Activated Users)
• Access controls to AWS Infra
• Change Management Policy
• Revision and approval history for CM policy.
• Incident management outages
• Areas of expertise:
• Experience in building Platforms - Observability
• Experience in Build Tools like Git, Jenkins, Artifactory
• Experience in Deployment - Docker, Mesos, Marathon,
• Experience in Monitoring – Prometheus, Sensu, Nagios, Graphite
• Experience in Log Management tool - Greylog

Feb 2004 – Apr 2017 · 13 yrs 2 mos · USA, Ireland, Hyderabad, Chennai, Bangalore

• Clients: Inmobi, Google, Argo, Netgear
• Core Roles and Responsibilities:
• Devops:
• Integration of alerts from Newrelic, Awscloudwatch, Prometheus, Nagios, Sysdig to Pagerduty and Slack
• L1 troubleshooting of applications alerts
• Production deployments using AWS Opswork, Elastic Beanstalk
• Troubleshooting Haproxy, Nginx, MLB's
• Managing IAM AWS infrastructure
• Handling major incidents
• Deployments across four datacenter's using Inmobi Deployment Platform
• Root cause analysis of major incidents and creating post mortem documents
• Problem management, analyzing repetitive alerts and taking corrective action
• Nagios integration with alert management system
• Creating dashboards in Graphana
• Configure Nagios servers using Nconf
• Datacenter Operations:
• Racking stacking of servers
• Managing spares across all datacenters
• OS installations using PXE
• IDRAC reachability troubleshooting
• Raid configurations, disk and memory swapping with minimum downtime
• Projects Handled:
• Planning and Executing data center migration using PMP methodologies
• Involved in migrating one data center in USA within two weeks (350 Servers)
• Implemented SIP architecture from scratch using asterisk
• IDRAC monitoring across 4 datacenter
• Setting up OME and OMPC
• Monitoring OME and OMPC boxes using Graphite and Dockerised Nagios
• Improvements across people, process and SLA's:
• Post-mortem documentation improved from 30% to 100%. All outages tracked and action items followed upon
• SLA % improved from 40% to 95% across NOC, DC Ops and Desktop Support
• Number of alerts decreased by 50% by proactive problem management
• Attrition below 10% by retaining key people in key roles. Moving people across different verticals helped in maintaining attrition