Er. Navjot

DevOps Engineer

Noida, Uttar Pradesh, India1 yr experience

Key Highlights

Expert in CI/CD automation and cloud security.
Proven track record in streamlining security processes.
Strong collaboration between development and security teams.

Stackforce AI infers this person is a DevSecOps Engineer specializing in SaaS infrastructure and security automation.

Contact

Skills

Core Skills

DevopsCloud Security

Other Skills

Amazon Web Services (AWS)JenkinsGitHub ActionsTerraformCloudFormationDockerKubernetesPrometheusGrafanaCloudWatchMicrosoft AzureGoogle Cloud Platform (GCP)AnsibleGitInfrastructure

About

As a DevSecOps Engineer, I focus on integrating security into the development lifecycle, ensuring that security is built-in, not bolted on. With expertise in CI/CD automation, cloud security, and infrastructure-as-code, I work to streamline security processes across teams, using tools like Docker, Kubernetes, Jenkins, and AWS to build scalable, secure systems. My goal is to enhance both security and efficiency by fostering collaboration between development, operations, and security teams, ensuring that we can deliver high-quality, secure applications faster and with confidence.

Experience

1 yr

Total Experience

1 yr

Average Tenure

1 yr

Current Experience

Tech mahindra

Senior DevOps Engineer

Apr 2025 – Present · 1 yr · Noida · Hybrid

Worked on end-to-end DevOps lifecycle including CI/CD automation, environment setup, monitoring, and deployment optimization.
Designed and implemented scalable CI/CD pipelines using Jenkins/GitHub Actions, improving deployment speed and reducing manual effort.
Managed cloud infrastructure (AWS/Azure) with strong focus on reliability, cost optimization, and security best practices.
Implemented Infrastructure as Code using Terraform/CloudFormation to standardize environments and reduce provisioning time.
Worked closely with development teams to streamline builds, automate integrations, and resolve environment issues quickly.
Monitored system performance using tools like Prometheus, Grafana, CloudWatch, and proactively reduced downtime.
Containerized applications using Docker and orchestrated deployments with Kubernetes for better scalability and consistency.
Ensured smooth hybrid work model operations by coordinating between on-site and remote teams for releases and environment support.