DevOps
Resume:
Pushpa Latha
***********@*****.***
www.linkedin.com/in/lathaepl
Experience Summary
10+ years of Industrial experience in analyzing, automating, configurations and deploying applications across various cloud platforms.
Hands-on experience in Build and release management, Configuring the environments, Cloud infrastructure, implementing test automation, CICD integrations and service management techniques.
Involved in planning the Architecture, infrastructure management, automating techniques, monitoring dashboards, Application flow tracking, monitoring dashboard tools.
Worked with infrastructure tools and cloud platform AWS/Azure to enhance the performance, security, and scalability of middleware systems, proactively identifying and resolving potential issues.
Worked with infrastructure tools like terraform and cloud formation (AWS) to setup the required infrastructure for the applications.
Experience in working with various CICD pipelines like GitHub Actions with Tekton, Jenkins pipelines used to integrate and deploy the code.
Integrating Flyway with CICD which is used for database migrations.
Worked on creating Docker images, docker registry and deploying microservices on EKS using Kubernetes.
Also integrated SonarQube to check the code Quality and Snyk to check the vulnerabilities with Github Actions.
Involved in working with Github actions to upload the scripts to S3, updating various AWS services using AWS CLI.
Troubleshooting Kubernetes Clusters, pods, services using Kubectl CLI.
Setting up the infrastructure for various AWS services like VPC, EC2, S3, IAM, Glue, Lambda, Stepfunctions etc. using Terraform, cloud formation.
Experience in working various monitoring tools like Nagios, Datadog for metrics and Splunk for logs monitoring.
Experience in working with Configuration Management of the servers using Chef/Ansible.
Experience in automating, supporting, and optimizing mission-critical deployments, leveraging configuration management, CI/CD, Test, DevOps processes and Cloud Infrastructure using AWS/Azure.
Experienced in managing the artifacts stored in the stored in the different Artifactories like Nexus and Jfrog, Confluence.
Expertise in working with different Bug Tracking Tools like JIRA and Quality center and CI/CD processes using GitHub Actions, CloudFormation (CFT), Terraform templates and containerizing using Dockers, EKS in AWS/Azure Arc.
Good Experience in interlinking multiple Jenkins jobs with pipeline, integrated sonar to run as part of Jenkins build job, monitoring nightly and daily builds to deploy with different environment like QA, UAT, DEV, PROD.
Performing Basic sanity testing for the microservices deployed by testing the API’s using Postman and verifying the results.
Experienced in all aspects and phases of the Software Development Life Cycle (SDLC) such as Maintenance Analysis, Planning, Developing, Testing, Deployment, and Post-Production analysis of the projects and methodologies such as Agile and Waterfall.
Good technical skills with Unix/Linux systems.
Technical Proficiency :
GitHub Actions, Tekton, Flyway, Jenkins, JIRA, Redshift Database, MySQL, GITHUB, Snyk, Shell, Bash, Splunk, Datadog, Grafana, Prometheus, Nexus, Ansible, Chef, Nagios, Docker, Kubernetes, AWS EKS, AWS environment, AWS Services (EC2, VPC, ELB, S3, RDS, Cloud Trail, EBS, Workspaces, Event Bridge, ECR, ECS, IAM, Lamba, AWS Glue, Step Functions, Appsync, Elasticache, Directory service(Active Directory),Cloud watch, CloudFormation, etc), Terraform, AWS CLI, AWS Auto Scaling, Unix/Linux, Shell scripting, Jfrog, Postman, Maven, Windows XP.
Education
MBA Andhra University, India 2004
BCA Andhra University, India 2002
Professional Experience
Role: DevOps Engineer January 2023 to Till Date
Client: Ericsson
Responsibilities
Led the design of product infrastructure templates, tailoring automation solutions to client needs, and integrated them with our product K8s clusters, optimizing scalability and operational efficiency.
Automated end-to-end infrastructure provisioning using Terraform, CICD using Github actions with Tekton, deploy on Kubernetes with helm, and integration with code quality, code coverage and security, optimizing efficiency and reliability across all environments.
Developed and maintained Terraform policy as code, ensuring best practices, security standards, and regulatory requirements, while facilitating platform management with Terraform enterprise.
Integrated Github actions with Tekton to deploy the microservices on to EKS Clusters, provisioning and setup of custom-designed Amazon EKS clusters, ensuring efficient orchestration of infrastructure and configurations for product management workflows.
Implemented security measures within Kubernetes clusters with RBAC (Role-Based Access Control), network policies, and pod security policies, ensuring secure access control, network segmentation, and container isolation to mitigate potential threats and vulnerabilities Access Management.
Utilized Cloudwatch and cloud trail for monitoring of the logs and metrics and configuring SNS topics to send alerts and ensure compliance with regulatory standards.
Configured S3 Buckets to be used by Github Actions to upload all the necessary files using AWS CLI
Implemented AWS bulk backup strategies to ensure the seamless recovery of critical servers and rapid restoration of services in the event of fallback or disaster recovery scenarios, safeguarding business continuity and minimizing downtime.
Analyzed Toil events within the production environment and established automated recovery mechanisms addressing with predetermined solutions without the need for manual intervention and ensuring uninterrupted operational efficiency.
Effective utilization of Event Bridges, Lambdas, Stepfunctions for performing various activities and actions on AWS as per the designed standards and compliance.
Designed Helm templates for deploying the microservices by ensuring the code directly from the code repository which empowers development teams to use end-to-end automation without platform dependencies.
Implemented a comprehensive tagging policy encompassing various aspects, including user identification and respective cost center allocation, to standardize resource management. This approach enables precise billing allocation, facilitates resource tracking, and expedites issue resolution by ensuring clear accountability and visibility across the infrastructure lifecycle.
Orchestrated Spring Boot microservices within a Kubernetes (K8s) cluster, optimizing scalability, resilience, and resource utilization while fostering a modular and highly available architecture conducive to modern application development practices.
Implemented auto-scaling policies to dynamically adjust resource allocation based on predefined metrics such as CPU utilization or incoming traffic, ensuring optimal performance and cost efficiency.
Docker files with optimized configurations to enhance container performance, minimize image size, expedite build times and ensuring efficient resource utilization. Docker Registry is used for Docker Image managements.
Configured monitoring on Datadog to track the application, infrastructure, and Network.
Role: DevOps Engineer October 2019 – January 2023
Client: Humana
Responsibilities
Built and configured EC2 instances on AWS cloud platform, configured Elastic Load Balancer for traffic control for the EC2 and S3 buckets using Cloud Formation and terraform.
Configured IAM roles, policies as required for various services.
Launched database for MySQL and Redshift in multiple Availability Zones, set up monitoring for CPU utilization and limited DB connections by implementing alarms using Cloud Watch and SNS.
Worked with various AWS Services like VPC, EC2, S3, IAM, AWS Glue, Lambda, Stepfunctions.
Worked on creating Docker images and updating in docker registry and deploying microservices on Kubernetes using Jenkins pipelines or github actions.
Monitoring of the metrics using Cloud watch, Cloud Trail, Datadog and Splunk.
Flyway is used for database migration by integrating with Docker and Kubernetes using Github actions.
Parameterized templates to initiate other environments in a cookie-cutter fashion. Delivered all by using the Cloud Formation template or Terraform to automate the infrastructure.
Setup Jenkins pipelines which will use the cloud formation templates to setup the infrastructure required for the project.
Installed, managed and configured monitoring tools such as Splunk, Datadog and CloudWatch for monitoring the log files, Network Monitoring, log trace monitoring and the hardware status.
Role: Sr Test Analyst March 2008 – August 2014
Company: Cigna
Responsibilities
Involved in Requirement Analysis, Estimation, Preparation of Test Strategy, Test plan and Test cases with high quality.
Coordinated testing and test artifacts across multiple testing phases including SIT, UAT, End to End testing, Performance Testing.
Prepared Test scenarios, Test plan and Test cases for every module.
Reviewing of the Test scenarios and Test cases with business teams.
Creating Test Plans and Test Lab in HP ALM.
Uploading of the test cases of different modules to Test plan in HP ALM and moving them to Test lab during execution phase.
Executing the test cases and updating the results in HP ALM.
Reporting of the defects/bugs based on the priority in HP ALM and keep a track of the defects.
Developed Requirements Traceability Matrix to relate High Level requirements to Test Scenarios.
Prepared Traceability matrix for Test scenarios and Test cases.
Ensure all the requirements are tested.
Ensure the timely delivery of testing milestones and quality delivery of testing artifacts and publish closure report after test execution completion.
Involved in Functional requirement discussion with BA and Business teams.
Involved in giving demo of the application to business users for every module.
Executing of UAT Test cases and also validation of the application after go-live.
Involved in giving support to the actual users after the application go-live.
Involved in production Support issues also.
Performed testing in Agile Methodology
Daily status calls to ensure if the testing activities are completed on time.
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