Experience

Work Experience: Principal SRE & Cloud Architect

13+ years across SRE, cloud platform engineering, backend development and architecture. Newest first, with full detail for every role.

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  1. Client: confidential · planet-scale on-prem environments plus smaller ones on AWS.

    Featured projects

    • Fleet upgrade automation — automated upgrades for a fleet of 2000+ machines, with proper draining of hosts and the necessary guardrails built into the automation
    • AI incident response — automated incident root cause analysis and incident response
    • Just-in-time SSH — fleet-wide rollout of just-in-time SSH access to strengthen the security landscape
    • SLO observability — improved the observability landscape for better SLO tracking of services

    AI & automation

    • Build AI-powered RAG pipelines to automate documentation search
    • Create a Slack bot that automatically investigates incidents using document search, metric plugins and log APIs
    • Leverage AI-assisted coding to build interactive TUIs and automation tooling at a fast pace
    • Build automation to reduce SRE toil as and where possible

    Platform & infrastructure

    • Manage observability instrumentation for large-scale self-hosted GitHub and Artifactory
    • Automate infrastructure provisioning and upgrades using Pulumi and Terraform
    • Manage planet-scale environments running on-premise and other smaller ones on AWS
    • Manage infrastructure as code using Puppet, Ansible, Terraform and Terragrunt
    • Instrument dynamic GitHub Actions infrastructure on AWS for Mac-based instances
    • Build GitHub apps & pre-receive hooks to enforce checks on abusive activities for self-hosted GitHub

    Analytics & people

    • Build dashboards tracking growth and usage metrics for various tools
    • Automate analytics-based reporting using ClickHouse and GitHub Enterprise systems
    • Build an infrastructure usage-forecasting backend for analysing usage growth
    • Mentor juniors to get up to speed with the products and perform their best; interview candidates around the world for the SRE/DevOps team
    • Learn quickly and adapt to new projects — regardless of whether they involve coding or SRE work
    AI / RAGIncident automationJIT SSHFleet automationSLOsGitHub EnterpriseArtifactoryPulumiTerraformClickHouseClaude Code

  2. Product: Twilio Segment · systems handling billions of transactions.

    Featured: open-source observability

    • Designed, deployed and operated a high-volume (30M+ active series) observability stack built entirely on open source: Grafana, Prometheus, OpenTelemetry Collector, Grafana Loki and Tempo
    • Migrated the observability tech stack from Datadog to open-source tooling

    Scale & reliability

    • Built highly scalable and available systems (10M+ rps – 99.9% availability)
    • Handled the AWS ECS → AWS EKS migration while maintaining five 9's of availability
    • Re-architected systems handling billions of transactions from a cost-optimisation aspect
    • Architected HIPAA-compliant networking solutions for EKS clusters using Cilium Cluster Mesh

    Automation, IaC & people

    • Automated SRE processes such as upgrades, migrations and provisioning
    • Wrote Terraform IaC for the infrastructure solutions above
    • Built and customised open-source tools like K2, kubeapply and others
    • Mentored teams of software engineers through the SRE & DevOps journey to help them grow
    AWS EKSCiliumGrafanaPrometheusOpenTelemetry CollectorLokiTempoTerraformHIPAA

  3. Remote · product confidential.

    • Developed and maintained applications and utilities using Java Spring, Python, Docker, Kubernetes and Git
    • Architected easily scalable and cost-optimised solutions for cloud platforms
    • Led a team of consultants in development of assigned modules
    • Participated in and planned critical design decisions for scalable data-management platforms
    • Reviewed and improved architectures from security and cost aspects
    • Managed deployment servers for the assigned modules
    • Automated code deployment and installation of supporting tools for virtual machines
    • Managed and resolved issues related to AWS cloud infrastructure and Kubernetes infrastructure
    • Created Helm charts for automating bulk deployment of multiple projects using an automated code pipeline
    • Developed IaC using Pulumi & Terraform libraries
    Java SpringPythonDockerKubernetesHelmPulumiTerraformAWS

  4. Product: RocketML — Elastic Cloud Compute Platform.

    Backend & AWS

    • Developed Java Spring Boot APIs for the Angular 8 frontend
    • Leveraged Hibernate, Spring Security, Spring JPA, Spring Data, Lombok and other libraries for a faster, optimised solution
    • Led project execution and planning for feature releases
    • Set up AWS infrastructure for deployment; used the AWS SDK to programmatically manage elastic cloud compute resources
    • Used CloudWatch, Lambda, ECS and EC2 to optimise resource costs
    • Built dynamic AWS IAM role-assignment logic for secure execution of tasks
    • Integrated AWS Polly, Alexa, S3 and RDS with dynamic Linux-based instances
    • Built Docker images for a variety of machine-learning libraries and Amazon Machine Images using Packer
    • Worked with ML and parallel-computing tools such as AWS ParallelCluster, MLflow, Airflow, JupyterLab and RocketML
    • Built AWS CloudFormation templates for simplified deployment across environments

    Azure, GCP & DevOps

    • Enabled Azure customers to use the application — ARM templates, Azure VM, scale sets, DNS and more for dynamic infrastructure
    • Replicated the setup on Google Cloud Platform: Deployment Manager templates, code deployment pipelines, app services and programmatic infrastructure deployment
    • Diagnosed and fixed a variety of network configuration issues
    • Managed DevOps with AWS CodePipeline & GitHub, internally and for customers; created Postman test suites for automated CI/CD tests
    Spring BootAWSAzureGCPPackerCloudFormationDockerML tooling

  5. Products: DXA Chatbot Builder and Streebo Mobile Forms.

    DXA Chatbot Builder — smart transactional multi-channel chatbot

    • Led a team of developers managing the flagship product, Streebo Chatbot Builder
    • Proposed and laid down architecture for enhancements that reduce business effort
    • Developed NodeJS backend services (Joi, Sequelize for MySQL, Bluebird, ExpressJS, Handlebars) and Angular 7 widgets leveraging IBM tools
    • Studied NLP engines: Google Dialogflow, Microsoft Bot Framework, Wit.ai, IBM Watson and AWS Alexa
    • Built a smart multi-lingual chatbot on IBM Watson and Google Cloud services; enabled self-learning with IBM Watson Discovery to reduce training effort
    • Built bots for multiple channels with Dialogflow and Google Assistant; integrated the chatbot into Google Home and Amazon Dot
    • Took part in customer implementations and helped banking clients architect chat-support systems

    Mobile Forms — forms runtime

    • Led a team of interns and technical consultants
    • Developed REST web services (JAX-RS, Java) for form creation and data management; studied IBM Forms Experience Builder architecture
    • Developed an LDAP-based authentication and authorization system and OSGi service hooks, adapters and management code
    • Enhanced functionality for better performance; conducted technical interviews for technical and BA roles
    NodeJSAngular 7IBM WatsonDialogflowJava JAX-RSOSGiLDAPMySQL

  6. Oracle India · three product modules.

    US Payroll

    • Managed seed data and fast formulas used for payroll calculation
    • Maintained and enhanced payroll element creation
    • Developed Linux scripts to automate forward-porting of code

    UI/UX

    • Rectified issues in the existing UI
    • Made the UI mobile responsive using the Oracle JET framework

    Core HR

    • Resolved issues in existing Core HR functionality and enhanced it for better performance
    • Took client calls to understand issues and resolve them faster
    Oracle HCM FusionFast FormulasOracle JETLinux scripting

  7. Tata Consultancy Services.

    • Developed a multi-threaded Java application to manage sensor feedback in a vehicle
    • Created Linux scripts to manage threading and program execution
    • Developed NodeJS web services for analysing and monitoring vehicle positions
    • Developed client-side web application modules on a Spring MVC + Hibernate framework
    • Created backend file-processing modules for government offices using the ZK framework
    • Worked in a dynamic environment with tight deadlines; worked at the client side to monitor optimisation issues during project UAT and pilot
    JavaNodeJSSpring MVCHibernateZKLinux

  8. Edulark Services — where the career began.

    • Developed the Spring MVC based web application teacheron.com
    • Created Linux scripts to manage threading and program execution
    • Onboarded new employees onto development using the framework
    • Handled production issues with the website
    JavaSpring MVCLinux scripting

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