I am
DevOps Engineer
Building intelligent, self-healing infrastructure for reliable and scalable operations.
Skills
AWS
Azure
Docker
Kubernetes
Python
Additional Skills
- Bitbucket
- Powershell
- Linux (Ubuntu
- RHEL)
- Windows.
- Jenkins
- Argo CD
- Azure DevOps
- SAST
- DAST
- Trivy
- Hadolint
- Prometheus
- Grafana
- EFK Stack
- Dynatrace
- DQL (AIOps
- Davis AI)
- Terraform
- Ansible
- Shell Scripting
- AI-driven anomaly detection and root cause analysis
- Intelligent alerting and noise reduction
- Closed-loop automation (monitor → analyze → act).
Experience
Pricewaterhouse Coopers (PwC)
DevOps Engineer
- Engineered an AI-driven DevOps platform that enables self-healing infrastructure through closed-loop automation, enhancing system reliability.
- Integrated Dynatrace (Davis AI) for intelligent anomaly detection, root cause analysis, and alert correlation across microservices and Kubernetes environments.
- Developed over 20 Python automation scripts to streamline intelligent DevOps workflows, including environment version alignment and ArgoCD deployment automation, significantly reducing manual effort and configuration drift.
- Constructed event-driven automation workflows where Dynatrace alerts trigger Python-based agents for actions such as pod restarts, scaling, and service recovery.
- Implemented AI-driven Kubernetes observability to proactively identify pod failures, latency issues, and resource bottlenecks, improving system performance.
- Automated root cause analysis using log correlation and pattern recognition, decreasing manual debugging efforts by 40%.
- Achieved a 40% reduction in Mean Time to Resolution (MTTR) by integrating AI-powered monitoring with automated remediation pipelines.
- Established intelligent alerting and noise reduction using Dynatrace AI, enhancing operational efficiency and minimizing false positives.
05/2025 – Present
Noventiq Value Point
DevOps Engineer
- Architected and managed multi-cloud infrastructure across AWS and Azure, facilitating scalable and highly available microservices platforms.
- Designed reusable and modular infrastructure patterns using Terraform, enabling consistent and rapid environment provisioning across multiple stages.
- Developed end-to-end CI/CD pipelines for microservices deployments, enhancing release frequency and minimizing deployment failures.
- Containerized applications using Docker and orchestrated workloads on Kubernetes AKS, ensuring high scalability and resilience.
- Implemented a GitOps-based deployment strategy using ArgoCD, ensuring version-controlled and automated Kubernetes application delivery.
- Integrated DevSecOps practices by embedding security scans (SonarQube, Trivy) into CI/CD pipelines to detect vulnerabilities early in the development process.
07/2024 - 06/2025
Sterling Infotech
Associate – Infrastructure Engineering
- Managed and supported cloud-based infrastructure for banking and incident management applications, ensuring high availability and secure operations.
- Designed and maintained CI/CD pipelines to automate build, test, and deployment workflows, improving release efficiency and reducing manual intervention.
- Containerized applications using Docker and supported deployment of microservices-based architectures for scalable and resilient systems.
- Collaborated with development teams to ensure smooth application releases and consistency across development, testing, and production environments.
- Integrated DevOps practices into incident management workflows, enhancing issue tracking, resolution, and overall system reliability.
- Supported production systems by troubleshooting incidents, minimizing downtime, and improving overall application stability.
- Ensured application quality by integrating code quality and basic security checks, enhancing reliability and reducing defects in production.
08/2021 - 04/2024