I'm a Cloud, DevOps, and DevSecOps engineer with 5.5+ years of experience designing, automating, securing, and operating cloud infrastructure and delivery platforms. My work focuses on making infrastructure reproducible, deployments predictable, operations observable, and production systems more reliable.
I work across cloud infrastructure, Kubernetes, Infrastructure as Code (IaC), CI/CD engineering, GitOps, security automation, monitoring, and production troubleshooting. I enjoy solving operational challenges through automation, improving existing engineering workflows, and building reusable solutions that reduce manual effort and operational risk.
My experience includes Oracle Cloud Infrastructure (OCI), AWS, and Google Cloud Platform (GCP), with hands-on work across Kubernetes platforms, infrastructure provisioning, cloud networking, identity and access management, deployment automation, and production operations.
I believe good DevOps engineering is not just about deploying applications. It's about building the systems, automation, security controls, and feedback loops that help teams deliver software consistently and operate it confidently.
- Cloud Infrastructure Engineering: Design and manage cloud infrastructure, networking, compute, storage, IAM, access controls, and workload environments.
- Kubernetes & Container Platforms: Work with Kubernetes, OKE, GKE, Docker, Helm, workload configuration, deployments, and troubleshooting.
- Infrastructure as Code: Provision and manage infrastructure using Terraform, reusable configuration patterns, and version-controlled changes.
- CI/CD & Release Automation: Build and maintain automated pipelines with GitHub Actions, Jenkins, and GitLab CI/CD.
- GitOps & Continuous Delivery: Use Argo CD, Helm, and declarative configuration to improve deployment consistency and infrastructure change management.
- DevSecOps & Supply Chain Security: Integrate security checks into delivery workflows, including static analysis, dynamic testing, infrastructure scanning, and container image scanning.
- Observability & Reliability: Implement monitoring, dashboards, alerting, log analysis, troubleshooting, and infrastructure health visibility.
- Scripting & Operational Automation: Use Python, Bash, PowerShell, and Groovy to eliminate repetitive work and improve operational efficiency.
- Linux & Systems Engineering: Work with Linux administration, permissions, access lifecycle automation, networking, and production troubleshooting.
- Database Reliability: Work with PostgreSQL architecture, high availability, disaster recovery, and database release automation.
- Oracle Cloud Infrastructure (OCI)
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Cloud networking, compute, storage, IAM, and infrastructure operations
- Kubernetes
- Oracle Kubernetes Engine (OKE)
- Google Kubernetes Engine (GKE)
- Docker
- Helm
- Container deployment and troubleshooting
- Terraform
- Ansible
- Declarative infrastructure configuration
- Infrastructure provisioning and lifecycle automation
- Configuration management and drift-aware workflows
- GitHub Actions
- Jenkins
- GitLab CI/CD
- Argo CD
- Git
- Automated build, test, deployment, and release workflows
- Ephemeral self-hosted GitHub Actions runners
- SonarQube — static code analysis
- OWASP ZAP — dynamic application security testing
- Checkov — Infrastructure as Code security
- tfsec — Terraform security scanning
- Trivy — container image and vulnerability scanning
- IAM, least-privilege access, and security checks in delivery pipelines
- Prometheus
- Grafana
- Alertmanager
- Nagios
- ELK Stack
- Prometheus Pushgateway
- Metrics, dashboards, alerting, logs, and infrastructure health monitoring
- Python
- Bash
- PowerShell
- Groovy
- YAML
- SQL
- Linux
- Ubuntu
- macOS
- PostgreSQL
- Oracle technologies and Oracle E-Business Suite operations
Built automation for dynamically provisioned self-hosted GitHub Actions runners using Docker and Python.
- Provision runners on demand for CI/CD workloads.
- Remove ephemeral runner environments after job execution.
- Reduce the need for permanently running runner infrastructure.
- Improve runner lifecycle management and operational efficiency.
Automated Oracle E-Business Suite cloning activities using Python and Bash.
- Streamlined repetitive lifecycle and environment management operations.
- Reduced the reported cloning process duration from approximately 15 hours to 5.5 hours.
- Improved repeatability and reduced manual intervention.
Worked on CI/CD platform improvements, including Jenkins migration and upgrades, GitHub repository organization, and automated database release activities.
- Improve pipeline maintainability and consistency.
- Automate release tasks through version-controlled workflows.
- Support reliable delivery across development and operational environments.
Work with Kubernetes workloads, Helm charts, Terraform-managed infrastructure, and Argo CD-based delivery workflows.
- Manage declarative deployment configuration.
- Troubleshoot workload and container deployment issues.
- Improve deployment consistency through version-controlled changes.
- Support repeatable infrastructure and application delivery.
Developed and maintained monitoring solutions using Grafana, Prometheus, Alertmanager, Nagios, and related tools.
- Build dashboards for infrastructure and service visibility.
- Configure actionable alerts and monitor system health.
- Investigate operational issues using metrics and logs.
- Improve troubleshooting and operational response.
Integrate security tools into infrastructure and application delivery workflows.
- Scan code for security and quality issues.
- Identify infrastructure misconfigurations.
- Scan container images for known vulnerabilities.
- Introduce security checks earlier in the delivery lifecycle.
Work on PostgreSQL architecture and operational practices for high availability, disaster recovery, and database lifecycle management.
- Support resilient database architecture.
- Automate database release and migration activities.
- Improve operational consistency and recovery preparedness.
I enjoy working on engineering problems where automation, reliability, and security intersect.
My areas of interest include:
- Platform engineering and Internal Developer Platforms (IDPs)
- Kubernetes platform automation and cluster operations
- Cloud-native infrastructure and infrastructure lifecycle management
- Advanced GitOps workflows and deployment governance
- Secure CI/CD pipelines and software supply chain security
- Observability, incident troubleshooting, and reliability engineering
- Ephemeral infrastructure and self-service automation
- AI-assisted DevOps, intelligent operational workflows, and AIOps
- Cost-conscious infrastructure design and operational efficiency
- Reusable engineering tools that solve real problems for developers and platform teams
I am particularly interested in building practical solutions that reduce repetitive work, simplify complex operational processes, and make engineering teams more effective.
- Automate repetitive work: If a task is performed repeatedly, look for a safe and maintainable way to automate it.
- Infrastructure should be reproducible: Prefer version-controlled, reviewable, and repeatable infrastructure changes.
- Security belongs in the workflow: Build security checks into the development and delivery lifecycle instead of treating them as an afterthought.
- Least privilege by default: Grant access according to workload requirements and minimize unnecessary permissions.
- Observe before reacting: Use metrics, logs, alerts, and system evidence to diagnose issues rather than relying on assumptions.
- Design for failure: Consider recovery, failure scenarios, and operational behavior when designing systems.
- Keep solutions practical: Favor maintainable automation and measurable improvements over unnecessary complexity.
- Share knowledge: Document solutions, improve workflows, and help make complex technology easier to operate.
- AWS Certified Solutions Architect – Associate
- Oracle Cloud Infrastructure certifications
I'm interested in collaborating on:
- DevOps and DevSecOps automation
- Kubernetes and cloud-native engineering
- Terraform and Infrastructure as Code
- CI/CD and GitOps tooling
- Monitoring, observability, and reliability improvements
- Open-source engineering utilities
- Practical AI-assisted automation for infrastructure and operations
If you're building tools that make cloud infrastructure easier to manage, deployments safer, or production systems more reliable, I'd be happy to connect.
- 📍 Location: India
- 📧 Email: karanbparmarp1@gmail.com
- 💼 LinkedIn: karanp-devops
- 🐙 GitHub: @p1kp
Building reliable infrastructure, automating complex workflows, and continuously improving the way software is delivered and operated.