Jan 2023 – Jul 2024 · 1 yr 6 mos · Calgary, Alberta, Canada · Remote

• Developed RESTful APIs using Golang: Engineered over 15 high-performance APIs that streamlined communication between frontend and backend systems, reducing response times by 30% and increasing throughput to handle 50% more traffic.
• Designed secure, scalable, and cost-optimized AWS & GCP architectures: Architected cloud solutions that cut operational costs by 25% while ensuring robust security and scalability, supporting a 3x increase in concurrent users.
• Built RESTful APIs with Python Django: Developed scalable APIs handling over 10,000 daily requests with 99.9% uptime, facilitating seamless integration across multiple client platforms.
• Engineered high-availability AWS VPC and Subnet designs: Designed resilient VPC architectures across multiple availability zones, achieving 99.99% uptime and ensuring fault tolerance for mission-critical applications.
• Applied advanced data science and deep learning frameworks: Utilized scikit-learn, NumPy, SciPy, Pandas, and PyTorch to develop predictive models that boosted accuracy by 40%, driving improved data-driven decision making.

Jan 2022 – Jan 2023 · 1 yr · Calgary, Alberta, Canada · Remote

• Design, develop and maintain automated CI/CD pipelines using tools such as Jenkins, and Bitbucket Pipeline.
• Collaborate with cross-functional teams to deploy and operate systems on cloud infrastructure platforms such as AWS.
• Implement infrastructure as code using tools such as Terraform, Ansible, or Puppet to provision and configure cloud resources.
• Monitor and analyze system performance using tools such as AWS cloud watch, and implement proactive measures to prevent issues.
• Troubleshoot and resolve issues in production and non-production environments.
• Continuously improve processes and automation to enhance system reliability, availability, and scalability.

Jun 2021 – Jan 2022 · 7 mos · Bengaluru, Karnataka, India · Remote

• Developed a Golang-based BDT framework for the OCI SDK: Streamlined integration testing processes, reducing cycle times by 30% and improving overall efficiency.
• Built distributed job-scheduler in Golang & gRPC orchestrating 15 K VM jobs/min with Kafka exactly-once semantics.
• Created CI/CD reference stack (Jenkins, Spinnaker, SonarQube) adopted by 40+ internal services.

Jul 2020 – Jun 2021 · 11 mos · Bengaluru, Karnataka, India · Remote

• As a Platform Engineer, I developed foundational tools and services that enabled secure, scalable, and efficient development workflows across cloud and on-premises environments.
• Designed and developed a robust Python Command-Line Interface (CLI) tool to facilitate seamless, secure access to on-prem cloud resources, empowering engineers to authenticate, provision, and manage infrastructure from local environments.
• Led the architectural design and implementation of a Spring Boot application focused on enterprise-grade Identity and Access Management (IAM), integrating with SAML2 and OAuth2 providers for user authentication and authorization.
• Automated infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform and Ansible, supporting both Azure cloud and on-premises deployments.

May 2019 – Jul 2020 · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

• Developed a Golang-based backup application that reduced processing times by 40%, significantly enhancing data reliability and recovery speed.
• Engineered a Rubrik Cloud Fabric (RCF) platform using Django and ReactJS, streamlining data workflows and handling over 500 daily transactions with 99.9% uptime.
• Orchestrated multi-cluster Kubernetes deployments on AWS EKS & GCP GKE with Ingress controllers and Kong API Gateway (OAuth2.0), boosting system scalability by 60% and ensuring 99.95% uptime.
• Automated infrastructure provisioning with Ansible and Terraform, accelerating Kubernetes cluster deployments by 60% while ensuring consistent, error-free environments.
• Built a full-stack application using Python Django and React for VMware resource management, reducing resource provisioning times by 50% and increasing operational efficiency by 40%.

Oct 2017 – May 2019 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

• Developed a one-click deployment service using Python, Ansible, and Terraform, reducing deployment times by 80% and streamlining service rollouts.
• Built and operated distributed logging systems with ELK and EFK stacks, enhancing log query performance by 60% and cutting incident response times by 50%.
• Implemented zero-downtime continuous deployment pipelines that achieved 99.99% uptime and reduced deployment-related errors by 90%.
• Automated rolling server restarts with zero downtime, ensuring uninterrupted service and boosting overall system availability by 30%.
• Automated server creation, configuration, and database provisioning using Terraform, cutting setup times by 70% while enhancing environment consistency and security.

Sep 2016 – Sep 2017 · 1 yr · Bengaluru, Karnataka, India · On-site

• Developed the “SDP-Build” system: Designed and implemented a Docker-based build system for the SDP platform that accelerated artifact creation by 60% and improved deployment consistency.
• Optimized SDP platform installation: Engineered Vagrant configuration files and shell provisioning scripts to automate the installation process, reducing setup time by 70% and ensuring reliable, reproducible environments.

Aug 2011 – Sep 2016 · 5 yrs 1 mo · Bengaluru, Karnataka, India · On-site

• Engineered a Python monitoring application using the Django MVC model to track near real-time metrics for 3,000 Debian VMs, reducing incident detection times by 70% and significantly boosting operational efficiency.
• Developed a Python API for auto-heal functionality that automates remote restart and redeployment processes, cutting system recovery time by 80% and enhancing service reliability.
• Architected and implemented CI/CD pipelines by integrating Git, GitHub, Maven, Jenkins, and Puppet, which streamlined deployments and reduced release cycle times by 50%, accelerating time-to-market.
• Provided 24/7 on-call production support: Actively participated in Dev on-call rotations, improving incident response times by 40% and minimizing downtime.