Noorunnisa Mohammad

DevOps Engineer

Hyderabad, Telangana, India6 yrs 5 mos experience

Key Highlights

Over 4 years of experience in DevOps engineering.
Expertise in AWS and Terraform for cloud infrastructure.
Proficient in CI/CD pipeline automation with Jenkins.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and automation within the SaaS industry.

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Skills

Core Skills

DevopsCi/cdInfrastructure As Code

Other Skills

AWSAWS Auto ScalingAWS CloudWatchAWS EKSAWS Step FunctionsActive ListeningAmazon DynamodbAmazon EC2Amazon ECRAmazon ECSAmazon S3Amazon VPCAuto ScalingAzure DevOpsBash

About

I am a DevOps Engineer with over 4 years of experience, specializing in building and automating scalable cloud infrastructures. Currently, I focus on leveraging Terraform to provision and manage AWS cloud resources, streamlining infrastructure setup to meet dynamic project requirements. Utilizing Jenkins, I ensure seamless automated provisioning and integration, enabling efficient build and release processes. Additionally, I deploy and manage containerized applications using Kubernetes to maintain robust and scalable environments. My professional journey includes contributions to automating infrastructure with Ansible, establishing CI/CD pipelines with Jenkins, integrating code quality monitoring with SonarQube and deploying Dockerized applications on Amazon EKS. I have expertise in Red Hat system administration, ensuring secure and efficient management of Linux systems. With a strong foundation in Shell scripting, I ensure automation and efficiency across systems. I actively apply Scrum and Agile methodologies to drive projects forward, ensuring collaboration, speed, and quality. Let’s connect to explore opportunities where I can help deliver reliable and high-performing cloud solutions.

Experience

6 yrs 5 mos

Total Experience

1 yr 11 mos

Average Tenure

8 mos

Current Experience

S&p global

DevOps/Release Engineer

Oct 2025 – Present · 8 mos · Hyderabad, Telangana, India

Automate server configuration, software builds, testing, and deployments.
Collaborate with development teams from initial development through production releases.
Improve and maintain CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.
Develop automation scripts using PowerShell, Bash, Groovy, or Python.
Manage containerized applications and cloud infrastructure on AWS or Azure.
Troubleshoot build, deployment, and server issues on Windows and Linux.
Manage version control and dependencies using Git, SVN, NuGet, and Artifactory.
Participate in production deployments, cross-team collaboration, and Agile processes.

AWSJenkinsGitHubPowerShellBashGroovy+3

Infosys bpm

2 roles

DevOps Engineer

Promoted

Jun 2024 – Oct 2025 · 1 yr 4 mos · Hyderabad, Telangana, India · Hybrid

Manage AWS EKS clusters, including upgrades, backups, and implementing monitoring solutions for optimal performance.
Leverage Jenkins to automate infrastructure provisioning, ensuring seamless integration and deployment.
Transform DevOps Pipelines to DevSecOps pipelines by integrating security tools like SonarQube and Hashicorp vault to enhance application security.
Conduct technical analysis of existing DevOps infrastructure, identifying areas for improvement to enhance support for IT operations.
Conducted Proof of Concepts (POCs) on backup tools and implemented the selected solutions to enhance application backup strategies.
Defined and Implemented Branching and Merging strategies within GitLab to improve collaboration and version control processes.
Integrate SonarQube into Jenkins pipelines for continuous code quality monitoring.
Set up and maintained high-availability, scalable infrastructure using Terraform.
▪ Regularly audited and maintained technical documentation as a key member of the knowledge management team.
Collaborate with cross-functional teams to optimize infrastructure performance, security, and scalability.

AWS EKSJenkinsSonarQubeGitLabTerraformDevOps+1

AWS Engineer

Feb 2024 – Jun 2024 · 4 mos · Hyderabad, Telangana, India · Hybrid

Provided technical support to customers using IoT devices.
Conducted root cause analysis for customer-reported issues.
Ensured timely resolution of issues and optimal device performance.
Leveraged AWS CloudWatch, Kibana, Elasticsearch, DynamoDB, Step Functions, and X-ray traces as
monitoring tools for analyzing issues.

AWS CloudWatchKibanaElasticsearchDynamoDB

Knowledge sprint technologies india pvt ltd

2 roles

DevOps Engineer

Jan 2022 – Feb 2024 · 2 yrs 1 mo · Remote

Implemented Terraform for Infrastructure as Code (IaC), automating setups and modifications
seamlessly.
Spearheaded a project to establish an automated deployment process for a Dockerized Tomcat
web server alongside an Nginx reverse proxy on Amazon Elastic Kubernetes Service (EKS).
Established a robust Jenkins CI/CD pipeline, facilitating automated testing, building, and
deployment processes.
▪ Developed secure and efficient Docker images for multiple applications.
▪ Ensured smooth operations and quick issue resolution by providing expert support for Linux infrastructure.
▪ Provisioned and configured virtual machines to meet application performance and scalability requirements.
Leveraged Amazon ECR for secure storage and management of Docker container images, ensuring
reliable and fast access to the deployment pipeline.
Integrated SonarQube into Jenkins pipelines for continuous code quality monitoring.
Coordinated server maintenance, security patching, and user management.

TerraformDockerJenkinsLinuxAmazon ECRInfrastructure as Code+1

Intern DevOps Engineer

Sep 2021 – Dec 2021 · 3 mos · Remote

Deployed microservices to various environments such as QA, UAT, Pre-Prod, DR, and Prod.
Supported production environment activities, including major release or emergency hotfix deployments, and coordinated with clients regarding operational job cycles or related activities.
Managed auto-scaling of containers using Pivotal Cloud Foundry (PCF).
Updated scaling rules based on aggregate CPU utilization and aggregate memory usage for instances running microservices.
▪ Documented all technical activities and maintained the knowledge base.

Pivotal Cloud FoundryMicroservices