Devops Engineer Azure

Pooja Sangavi

+1-703-***-**** **************@*****.***

Summary

Experienced DevOps Engineer with extensive expertise in Salesforce, AWS, and Azure DevOps, specializing in CI/CD pipelines and deployment strategies. Proven track record in implementing scalable solutions and automating threat assessments to enhance security in cloud and on-premises environments. Successfully led projects involving Kubernetes and Hadoop, focusing on process automation and data management. Eager to leverage technical skills and leadership experience to drive innovation and efficiency in DevOps practices.

Education

Jawaharlal Nehru Technological University, Hyderabad, India Jan 2016 Bachelor of Technology, Computer Science Engineering Certifications

Salesforce Administrator certification (ADM-201):

Copado Certified FUNDAMENTAL I:

Skills

SCM Tools: GIT, GIT Hub

Build Tools: Maven, Ant

CICD Tools: Jenkins, Spinnaker, Circle CI, Autorabit

DevOps tools: Salesforce, Kubernetes, Docker, Terraform, Autorabit, Copado, Azure DevOps pipelines for build and deploy

AWS Cloud services: Lambda, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, Systems Manager

Security Agents: Trend Micro, BigFix, SafeNet ProtectV, Threat Modeler

Project tracking tools: JIRA, VersionOne, ServiceNow

SDLC: Agile, Scrum/Kanban Methodologies

Work Experience

Marriott international Aug 2024 - Present

Cloud security DevOps engineer

Developed automated workflows using tools like Threat Modeler to assess security threats during the CI/CD process.

Integrated threat modeling tools (like Threat Modeler, Microsoft Threat Modeling Tool) into DevOps pipelines to provide real-time threat assessments.

Developed and maintained serverless applications using AWS Lambda to automate workflows, reducing operational overhead.

Designed, implemented, and managed secure APIs using AWS API Gateway to facilitate communication between services, ensuring reliable and secure data exchange

Managed AWS Identity and Access Management (IAM) roles, policies, and permissions to enforce secure access control.

Built and maintained CI/CD pipelines using tools like AWS Code Pipeline, Jenkins, and GitLab CI, automating deployments for serverless applications.

Managed API Gateway versioning and implemented multiple stages (dev, staging, production) for controlled deployments.

Configured firewalls, security groups, and VPNs to control access and secure communication between cloud services and on-premises systems.

Carelon Global Solutions Jan 2021 - Aug 2024

Software Engineer

Ensured stability of the Salesforce platform, environments, and production releases, improving system reliability and user satisfaction

Delegated access to orgs and DevOps processes within Salesforce, enhancing team efficiency and security compliance

Utilized tools like Autorabit, Bitbucket, and GitHub for production deployment, effectively addressing deployment challenges and minimizing bugs and disruptions for business users

Created and maintained Salesforce deployment packages and deployed code changes in different environments (SIT, UAT, pre-prod, and production), ensuring smooth transitions and minimal downtime

Maintained repositories in Bitbucket, facilitating code comparison from the Salesforce org after production release, which improved code quality and version control

Interacted directly with clients, managers, and stockholders as necessary to analyze project objectives and capability requirements, including specifications for user interfaces, customized applications, and interactions with internal Salesforce instances.

Established and implemented change control and best practices for system maintenance, configuration, and development, enhancing data integrity and system reliability

Developed tools using programming, logic, and AI/ML to address business needs and improve functionality, resulting in streamlined processes and enhanced system performance

Worked on projects and constructed architectural designs, testing and presenting solutions that effectively addressed business issues and improved operational efficiency

Translated approved solutions into actionable deliverables, ensuring quality, accuracy, and process consistency, which improved project outcomes

Developed and deployed AWS Lambda functions using AWS DevOps and Python, improving system efficiency and reducing processing time

Utilized the SDVI platform to streamline media workflows, enhancing content delivery speed and reliability

Implemented Service Oriented Architectures and Serverless Computing with AWS Lambda, leading to a scalable and cost-effective system architecture

Designed and maintained CI/CD pipelines using Concourse, which improved deployment speed and reduced errors

Managed data imports and performed database de-duping and cleanup using SQL scripts, resulting in improved data accuracy and system performance

Identified production risks and areas for improvement, prioritized designs, and facilitated successful implementation and adoption of new processes, leading to enhanced operational efficiency

Conducted root cause analysis on Flosum and built pipelines using Jenkins, improving deployment efficiency and reducing errors Thomson Reuters Mar 2018 - Mar 2020

DevOps engineer

Created Azure DevOps pipelines for building and deploying applications in Kubernetes clusters, improving deployment efficiency and reliability

Built Docker images and managed their lifecycle by pushing to and pulling from Azure Container Registry, enhancing application deployment in AKS Cluster

Updated SSL certificates for applications, ensuring secure and uninterrupted service delivery

Collaborated with the Cloud Ops team to debug and resolve issues in AKS cluster and deployments, enhancing system stability and performance

Updated service account API keys with the Artifactory team, maintaining secure and efficient access to necessary services Callacake Inc Jul 2016 - Feb 2018

DevOps Engineer

Responsibilities: Setting up governance and standards for development teams in creating infrastructure while adopting DevOps culture for You Build You Own (YBYO) model.

As part of this I have involved in following areas:

Git/GitHub:

Access controls for organization and repos.

Automation for Adding user, creating repos, adding/deleting webhooks, and branch protections using Git APIs and Jenkins.

Jenkins:

Automation of infrastructure tasks using Jenkins configuration.

Pipeline job set-up.

CIDC Pipeline:

CIDC assessment.

Created templates for CI/CD pipeline using Spinnaker to streamline code commits to production deployment, enhancing deployment efficiency

Integrated Jenkins from build to deploy, automating all stages and reducing manual intervention, which improved deployment speed

Managed AWS ECS and Docker environments, ensuring efficient container orchestration and deployment

Implemented Docker files and Docker image build scripts, which streamlined the build process and improved consistency

Set up infrastructure for cluster and service creation using Terraform and AWS ECS/ALB/Target groups through Jenkins jobs, which improved scalability and reliability of services

AWS Infrastructure:

Creating infrastructure scripts using Chef with cookbooks and recipes.

Creating infrastructure scripts using Terraform for AWS EC2, Autoscaling groups, VPC, Subnets, Security-groups, S3, Route-53 health checks and CloudWatch alarms.

Resiliency and Monitoring:

Support for resilient applications deployments across regions on AWS with automated Route-53 using different routing strategies.

Implemented auto-failover across regions using automated Route-53 health checks, ensuring continuous service availability

Integrated various monitoring tools such as Splunk, Datadog, NewRelic, and Pinpoint, enhancing system monitoring and issue detection capabilities

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