Sukrutha Samala
Sr DevOps Engineer
Phone: +1-502-***-****
Email: ***************@*****.***
www.linkedin.com/in/sukrutha-samala
PROFESSIONAL SUMMARY:
With over 10 years in IT, including 7+ years as a Cloud DevOps Engineer, I specialize in Linux and System Administration with a focus on Azure, AWS, CI/CD, and configuration management. I have expertise in AWS native services (including databases such as PostgreSQL and MongoDB), coding languages (Python, Node.js, Java), and AWS Microservices and Micro Frontends. My experience spans Private, Public, and Hybrid Cloud environments, leveraging tools like Docker, Kubernetes, Ansible, Chef, Jenkins, and Git. I have 2+ years as a Linux Administrator and deep expertise in build/release engineering.
TECHNICAL SKILLS:
Cloud Platforms
Microsoft Azure, AWS
AWS Services
EC2, VPC, IAM, EBS, S3, ELB, Auto Scaling, Elastic Cache, API Gateway, Route 53, CloudWatch, SQS, SNS, SWF, AWS Database Migration Service, AWS Application Migration Service, AWS Glue, AWS Lambda
Azure Services
App Services, Key vault, Function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB, Azure RM templates, Azure Data factory, Azure Databricks, Azure Data Lake
Infrastructure as Code (IAC)
Terraform, AWS CloudFormation, Azure Resource Manager (ARM) Templates
Source Code Management
SVN, Git, GitHub, GitLab, Bitbucket, Azure Repos and AWSCodeCommit.
Build Tools
Maven, Ant, Gradle, MS Build
CI/CD
Jenkins, Azure Devops Pipelines, GitHub Actions, GitOps, Argo CD.
Artifactory
Jfrog and Nexus
Code Scanning
Sonar Qube, Jfrog X ray, ECR Inspector
Container Orchestration
Docker, Kubernetes, Open-Shift, Helm, EKS, AKS.
Configuration Management Tools
Ansible, Chef, Puppet
Web Servers
Nginx, Tomcat, Microsoft Internet Information Service (IIS).
Application Servers
JBoss, Oracle WebLogic Server, IBM WebSphere Application Server.
Logging
Cloud Watch, Cloud Trail, Azure App Insights, Azure Monitor
Monitoring Tools
Nagios, Splunk, Grafana, Prometheus, ELK, New relic, Datadog, Dynatrace
Databases
Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon Redshift, Azure Cosmos DB, Azure My SQL DB, Azure PostgreSQL, Cassandra, RethinkDB
Scripting Languages
Python, Shell scripting, Groovy, Bash, YAML
Documentation
Confluence
Operating Systems
Microsoft Windows, Linux, UNIX.
Tracking Tools
Jira, ServiceNow & Remedy.
Programming Languages
C, C++, Java, Golang.
Kubernetes Tools & Components
ArgoCD, ArgoWorkflows, Helm Charts, CoreDNS
Content Delivery Networks (CDN) & DNS
Akamai CDN, Route53
Other Tools
Chatbot, ElastiCache, Haproxy
CERTIFICATIONS:
Microsoft Certified Azure Administrator
Certified Kubernetes Administrator
AWS Certified SysOps Administrator – Associate
AWS Certified DevOps Engineer - Professional
PROJECT SUMMARY:
Client: Wells Fargo, NY Nov 2022- Till Date
Role: AWS DevOps Engineer
Responsibilities:
Developed Terraform modules to create and deploy AWS Lambda functions using Spinnaker pipelines.
Orchestrated and migrated CI/CD processes using AWS CloudFormation and Terraform Templates.
Containerized infrastructure using Docker in Vagrant, Azure, and AWS VPCs.
Utilized Cross-plane to automate and manage multi-cloud infrastructure provisioning across AWS, Azure, and GCP.
Leveraged Cross-plane for declarative infrastructure management, enhancing cloud resource orchestration alongside Terraform and CloudFormation.
Integrated cross-plane into CI/CD pipelines for seamless, automated provisioning of cloud resources during deployments.
Manage and support complex Azure infrastructure environments, ensuring high availability and quick resolution of technical issues to maintain operational efficiency.
Perform in-depth analysis, troubleshooting, and resolution of critical application and infrastructure issues using monitoring tools like Splunk, Grafana, and AppDynamics.
Conduct advanced API testing using tools like Postman and Swagger, while efficiently managing incident workflows with ITSM tools like ServiceNow or Jira.
Design, develop, and execute complex automation scripts in Python or Shell, enhancing operational efficiency and aligning with business objectives.
Implemented Git submodules and educated users on submodule workflows.
Regularly monitor and analyze CDN performance metrics, adjusting cache settings, routing rules, and security configurations to optimize content delivery speed and reduce latency.
Collaborate with development, operations, and network teams to ensure seamless integration of Akamai services, facilitating a cohesive workflow for deploying and updating applications.
Proactively identify and troubleshoot issues within the Akamai CDN infrastructure, implementing best practices for maintenance and updates to ensure reliability and uptime for end-users.
To Manage Kubernetes Clusters Build, deploy, and maintain Kubernetes clusters, ensuring their stability, scalability, and security.
Set up and manage IBM MQ to make sure different applications can communicate securely and reliably.
Use IBM Integration Bus (IIB) to connect various systems and ensure smooth data flow.
Make sure IBM MQ and IIB are always running smoothly and efficiently.
Troubleshoot and fix issues related to IBM MQ and IIB to minimize downtime.
Work with other teams to integrate IBM MQ and IIB with other technologies, following best practices.
Cloud Infrastructure Provisioning, I Used tools like Terraform, Pulumi, or CloudFormation to automate the provisioning and management of cloud infrastructure on platforms such as AWS, Azure, or GCP.
Managed Azure services including Compute, Web Roles, Worker Roles, Caching, SQL Azure, NoSQL, Storage, Network services, Azure AD, Scheduling, Auto Scaling, and PowerShell Automation. By using Azure Databricks - I Developed scalable data processing workflows using Apache Spark.
Developed unit and functional tests in Python and Ruby. Maintained Perl/Shell scripts for build and release tasks.
Assisted on larger projects and ran smaller opportunities independently.
Hands-on experience with various practices and tools in the DevOps toolchain, including rolling up sleeves to design and code modules for infrastructure, applications, and processes.
Integrate IBM WebSphere, MQ, Oracle products, and AWS services into the automation pipeline for deployment, configuration, and management.
Ensure high availability and seamless operations for applications and services running on WebSphere, MQ, and Oracle environments.
Manage application servers and middleware for WebSphere and MQ in cloud and on-premises environments, ensuring they are properly configured and continuously optimized.
Utilized AWS Microservices and Micro Frontends in various solutions.
Designed and automated CI/CD pipelines for fixed-income and equity trading platforms, ensuring low-latency deployments and high availability during critical market hours.
Provisioned scalable infrastructure for high-yield trading models using Terraform and containerized applications with Docker and Kubernetes to support compute-intensive simulations.
Monitored real-time metrics and performance of fixed-income systems using Prometheus and Grafana, enabling proactive troubleshooting and optimization.
Ensured regulatory compliance and secure data handling for equity and high-income platforms by integrating IAM policies, CloudTrail, and vulnerability scanning tools like SonarQube.
Configure, deploy and maintain Tomcat, JBOSS, and WebSphere to ensure high performance and reliability.
Automate middleware provisioning and deployment using tools like Ansible and Python, ensuring seamless integration with existing infrastructure.
Develop and implement a detailed migration strategy to ensure seamless transitions to AWS or other platforms.
Work with cross-functional teams to address migration challenges and achieve project objectives.
Post-migration, optimize resources and processes for performance, scalability, and cost-effectiveness.
Deploy, manage, and maintain OpenShift clusters, ensuring high availability and performance.
Develop and optimize CI/CD pipelines for containerized applications within the OpenShift platform.
Implement security best practices and ensure compliance with organizational policies.
Monitor and troubleshoot OpenShift environments to resolve cluster and application issues efficiently.
Automate infrastructure provisioning and configuration using tools like Ansible or Terraform in OpenShift environments.
Collaborate with development and operations teams to streamline workflows and support microservices architecture.
Environment: Terraform, Spinnaker, CI/CD, Docker, Azure, AWS, Git, Jenkins, Python, Ruby, Shell scripts, SDLC, Agile, Virtual Machines, PaaS, PowerShell, Auto Scaling, Active Directory, Backup, IaaS, SQL Azure, Ansible, Kubernetes, Pulumi, CloudFormation, Nginx, Monitoring, Prometheus, Grafana, ELK Stack, Nagios, Azure DevOps, JIRA, Security, GitLab, GitHub, Bitbucket, Linux, Kubernetes, Docker, Docker Swarm, Ansible, Python, Jenkins, Prometheus, RethinkDB, MongoDB, Helm Charts, Haproxy, Maven, Gradle, Git, Bitbucket, Linux, CoreDNS, Shell Scripting.
Client: Geofast Global Jan 2018 - July 2022
Role: DevOps Engineer
Responsibilities:
Provide technical support and troubleshooting for cluster issues, ensuring minimal downtime and optimal performance.
Configured AWS Identity Access Management (IAM) Group and users for improved login authentication. Managing IAM accounts (wif MFA) and policies and Identity providers to meet security audit & compliance requirements. introduced a git-flow branching strategy that incorporates CI Automation and integrated in the pipeline.
Jenkins files to support Pipeline jobs and Configuring multi-Branch Pipeline Jobs to automate Build and deployments by watching Developers Code commits.
Designed and Implemented CI & CD Pipelines using Git, Jenkins, Maven, ECR, and EKS from scratch achieving end-to-end automation from code check to deploying docker images to EKS clusters.
Experienced in building and Deployment of Java and Python-based applications on different environments like Dev, Stage, and production, which includes design, development, and implementation. migrated on-prem Mongo DB data to AWS Document DB (fully Mongo compatible) by creating endpoint connections and replication instances leveraging AWS DMS (database migration service). installed and configured RabbitMQ as the messaging middleware behind Confidential's enterprise proxy server to enable connectivity to on-prem the proxy configured through Confidential Runon-SCI.
Established the connectivity between a snowflake analytic data warehouse for different VPCs across multiple AWS accounts by enabling the AWS Private Link and creating VPC endpoints.
Provisioned and configured the AWS managed services Elastic Cache (Redis), Elasticsearch -7.9, AWS Sage maker, and configured tech Confidential's enterprise proxy for Jupiter Notebooks in our AWS environment.
Created VPC endpoints that enable private access to specific AWS services from our AWS VPC, without using public IP addresses and without requiring the traffic data to pass over through the Internet.
Created custom AWS CloudFormation templates in JSON tailored to our organization's requirements to use them as blueprints for building & deploying KS clusters which will set the proxy configured dynamically during the cluster creation. expertise in creating Docker images using Docker File, working on Docker container snapshots, removing images, managing Docker volumes, and implementing Docker automation solutions for CI/CD models.
Extensive experience in installing, configuring, and managing Jenkins CI tool on Linux machines and using Jenkins Pipelines to push all Microservices builds to the Docker Registry (ECR), tan deployed to Kubernetes, built and managed Pods using Kubernetes.
Experience in Kubernetes to deploy, scale, load balance, and manage Kubernetes Pods with multiple name-spaced versions using Helm charts.
Worked on the development and implementation of the Helm charts for the deployment of microservices in the Kubernetes cluster.
Strong hands-on experience with k8’s concepts and implemented features such as hpa (horizontal pod autoscaling), Kubernetes secrets, readiness probe & liveliness probe, Daemon sets, Config-maps, etc.
Created custom roles in AWS, allowing pods to consume these roles using K8'S Service Accounts, thus limiting access to AWS resources at the Pod level and ensuring security.
Created dynamic routing/load balancing capability, allowing for large application scaling, used ingress rules, and a Network Load Balancer with the NGINX Ingress Controller on Amazon EKS.
Expertise in configuring the monitoring and alerting tools according to the requirement like Prometheus and Grafana, setting up alerts, and deploying multiple EKS dashboards for various microservices in K8's. Migrated applications to the AWS cloud.
Involved in DevOps processes for building and deploying systems.
Created Python scripts to automate AWS services which include web servers, ELB, Cloud Front distribution, database, EC2 and database security groups, S3 bucket, and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
Environment: AWS S3, EC2, KMS, EKS, AMI, VPN, DNS, Route 53, RDS, EBS, Network Load Balancer, CFT, Docker, Kubernetes, Document DB, Bitbucket, RabbitMQ, Jenkins, rally, Maven, Nexus, Apache Tomcat, SonarQube, Junit, Python, Shell Scripting.
Client: ACS Solutions March 2014 – Oct 2017
Role: DevOps Engineer
Responsibilities:
Installed and configured web application servers like Apache Tomcat and JBoss on AWS Elastic Beanstalk, ensuring seamless deployment of banking applications.
Automated deployment and management of middleware stacks, including MQ and Kafka, on AWS.
Responsible for Red Hat Linux installation, configuration, security, backup, and upgrade to maintain a secure and stable banking infrastructure.
Integrated SonarQube plugin in Jenkins and utilized Build Management Tools like Ant and Maven for automating build processes and ensuring code quality.
Implemented Cross-plane to enhance infrastructure consistency and policy enforcement across multi-cloud environments.
Automated cloud resource provisioning and management using cross-plane, improving deployment efficiency and scalability.
Implemented CI/CD processes using Jenkins, Nexus, and Yum, facilitating integrated delivery and continuous deployment of banking applications.
Utilized Ansible for managing web applications, database configurations, and server automation, ensuring consistency and reliability across banking environments.
Configured Ansible to manage AWS environments, automate core AMI builds, and implement cloud formation scripts for scalable and resilient infrastructure.
Monitored system activities in real-time to prevent performance issues and ensure optimal resource utilization in banking environments.
Led DevOps initiatives and mentored junior engineers.
Applied expertise in Python, Golang, Shell, Ruby, and Perl scripting languages to automate complex operational tasks, enabling faster and more reliable deployments across cloud and on-premises environments.
Oversee OpenShift cluster operations, including deployment, upgrades, and capacity planning to maintain a stable environment.
Streamline application workflows by designing and managing CI/CD pipelines tailored for containerized workloads.
Enhance platform security through proactive monitoring, vulnerability assessments, and policy enforcement.
Provide technical support and troubleshooting for cluster issues, ensuring minimal downtime and optimal performance.
Environment: Kubernetes, AWS Elastic Beanstalk, Helm Charts, Apache Tomcat, JBoss, Red Hat Linux, SonarQube, Jenkins, Nexus, Ant, Maven, CI/CD, GitHub, Bitbucket, Linux, Jenkins, JIRA, Ansible, AWS, AMI, CloudFormation, Docker, Cloud Kick, Datadog, GIT, Nexus, EC2, S3, ELB, IAM, Security Groups, VPC, AWS CLI, Backup, Disaster Recovery, Puppet, Configuration management, Terraform, MariaDB, MySQL, Inno db, Route53, Argo CD, Argo Workflows, Prometheus, APM - Instant, AppDynamics, Akamai CDN, DNS, Cross plane, Route53, Aws Lambda, Code Build, Code Deploy, AWS VPN.
EDUCATION:
MASTER’S - INDIANA WESLEYAN UNIVERSITY - 2024
BACHELOR’S DEGREE - BALAJI INSTITUTE OF TECHNOLOGY AND SCIENCE – JNTU UNIVERSITY- 2008