DevOps Engineer

Phone: +1-226-***-**** Email: ad0wym@r.postjobfree.com LinkedIn: linkedin.com/in/likhithasetti

ABOUT ME:

Experienced Cloud DevOps engineer with 6+ years, specializing in Build and Release, CI/CD, Configuration management, and Infrastructure Automation. Deployed microservices on AWS, Azure, GCP. Proficient in Containerization, adept at data-intensive apps.

PROFESSIONAL SUMMARY:

Proficiently set up AWS infrastructure, employing EC2, S3, RDS, VPC, ELB, EMR, Redshift and more for diverse projects.

Designed and managed Jenkins-based CI/CD pipelines on AWS, integrating Code Commit, Build, Deploy, and Pipeline for seamless, secure deployments. Ensuring infrastructure security through AWS CloudFormation, API Gateway, and Lambda.

Expertly controlled backups and access on AWS using snapshots, AMIs, and IAM, ensuring data integrity.

Extensive experience in designing and developing Grafana dashboards for real-time data visualization.

Proficient in setting up and configuring Datadog monitoring and analytics platform.

Accomplished Java back-end developer, creating RESTful APIs, integrating PostgreSQL databases, and navigating SOAP protocols.

Crafted comprehensive Azure solutions encompassing cloud services, IIS, Azure AD, Blob Storage, VMs, SQL Database, Functions, and Service Fabric.

Developed custom Ruby scripts to automate configuration management tasks using tools like Ansible, ensuring standardized and scalable server setups.

Implemented advanced threat detection leveraging AWS Guard Duty, Azure Security Center, for prompt identification and mitigation.

Adeptly used CloudWatch, X-Ray, and Insights for proactive cloud infrastructure monitoring, troubleshooting, and optimization.

Deployed secure Azure Virtual Networks (VNets), configured subnets, and optimized network settings for robust architecture.

Provisioned Kubernetes clusters via Docker, Ansible, Terraform, enabling efficient application environment creation and deployment.

Familiar with functional programming concepts and Kotlin's seamless integration with existing Java projects.

Orchestrated effective monitoring using AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, ensuring high availability.

Utilized Apache Kafka to design scalable, fault-tolerant real-time data processing pipelines, optimizing data handling and analytics.

TECHNICAL SKILLS:

Cloud Computing

AWS EC2, ELB, S3, EBS, VPC, Route 53, RDS, Auto-Scaling, IAM, SNS, SES, SQS, Cloud Front, Cloud Formation, Cloud Watch, Elastic Beanstalk

Azure

Azure Data Factory / ETL / ELT / SSIS, Azure Data Lake Storage, Azure Data bricks

Programming/Scripting Languages:

Java 8, Python, Groovy, YAML, Shell/Perl Script, Node.js, J2EE, Ruby, SQL, PL/SQL, JavaScript

Technologies & frameworks

Apache Kafka, CI/CD, Docker, AWS, EC2, S3, Lambda, Groovy, Jenkins, Kubernetes.

Web Servers:

Apache Tomcat, Nginx, WebLogic

Version Control Tools

SVN, GIT, GitOPS,GitHub, Git lab, Bit bucket

Tracking Tools

Jira, Rally

Build/Release (CI/CD)

Chef, Puppet, Ansible, Jenkins, Kubernetes, Azure, Cloud Foundry, Maven, ANT, Git, SVN, TFS, Atlassian Jira, Selenium, Nexus, J Frog, Docker,FlueCD, HashiCorp Vault

Monitoring Tools

Nagios, Splunk, Log Stash, Apache JMeter, Prometheus

Web Servers

Tomcat, APACHE, JBoss 4.x/5.x, Web Logic (12c) & Web Sphere

Application Servers

WebLogic Application Server Apache Tomcat, Red Hat JBOSS WebSphere

Networking/Protocol

TCP/IP, NIS, NFS, DNS, DHCP, WAN, SMTP, LAN, FTP/TFTP

Operating Systems

Linux, Unix, Ubuntu, Windows, Windows MacOS.

Virtualization Tech

VMware vSphere ESXi 5.x/4.x, ESX VMware Workstation, Oracle Virtual box

Scripting

Python, YAML, Ruby, PHP, Bash, Shell, PowerShell, JSON.

SRE

New Realic

Monitoring Tools ELK

Nagios, ELK, Splunk, Cloud watch

Security Tools

Splunk ES, McAfee Vulnerability management solutions

EDUCATION:

Bachelor’s Major- bachelor’s in computer science (2013-2017)

PROFESSIONAL EXPERIENCE

Client : Capital One, Toronto ON Dec 2021 – Till Date

Role : DevOps Engineer

Responsibilities:

Led Agile/DevOps/CI/CD operations, automating code review, testing, build/release, and environment management.

Orchestrated Dockerized app deployment on AWS with Netflix Eureka for seamless runtime access.

Managed Git workflows, fostering efficient collaboration. Streamlined Kubernetes microservices builds using Jenkins. Containerized apps with Docker, optimizing workflows.

Leveraged Ruby scripting to create monitoring and alerting solutions, enabling real-time insights into system health using Prometheus and Grafana.

Utilized Datadog APM to identify bottlenecks and optimize application performance.

Optimized AWS (EC2, RDS, Lambda, S3, Elastic Beanstalk) for hosting and scalability.

Integrated DevOps into Agile, cross-functional collaboration. Configured AWS (EC2, ECR, EKS) for containerization and Kubernetes.

Proficient in monitoring Kafka clusters using tools like Confluent Control Center and addressing issues proactively to maintain system health.

Implemented Terraform/CloudFormation for efficient infrastructure as code.

Implemented robust logging and monitoring solutions, utilizing services like AWS CloudWatch, Azure Monitor, to proactively detect and respond to security anomalies.

Leveraged Grafana templating to enable easy switching between different datasets and time ranges.

Environment: Java 8, Docker, Kubernetes, HTML, JavaScript, NoSQL, Microservices, HTTPS, Git, S3, JIRA, Maven, VPN, Eclipse Mars 4.5.0, agile, Terraform, Jasper Reports, kafka, AWS, Helm, Grafana

Client : Manulife, Toronto ON Oct 2019 – Nov 2021

Role : DevOps Engineer

Responsibilities:

Managed Azure infrastructure using ARM templates and terraform, automating provisioning and configuration.

Designed impressive CI/CD pipelines on Azure DevOps for automated building, testing, and deployment.

Configured Azure services like VMs, App Service, AKS, and Functions for efficient hosting and execution of applications.

Proficient in using Azure Databricks, a unified analytics platform built on Apache Spark, for big data processing and advanced analytics in the Microsoft Azure cloud environment.

Implemented robust monitoring with Azure Monitor and Application Insights. Secured Azure infrastructure using AAD and Security Center.

Integrated Kafka with various data sources and sinks, such as databases, data lakes, and external systems, to facilitate data ingestion and distribution.

Conducted log analysis and troubleshooting using Datadog's log management features.

Automated deployments with ARM templates, Azure CLI, and PowerShell. Managed DevOps pipelines for rigorous testing.

Proficient in utilizing Kotlin for modern, concise, and interoperable software development.

Integrated GitHub with continuous integration and continuous deployment (CI/CD) pipelines, automating software build and deployment processes for increased efficiency. Customized Jira workflows and boards for enhanced productivity and visibility.

Environment: Groovy, Maven, Docker, NoSQL, Microservices, Azure, React Js,kafka, Agile, JIRA, Azure Resource Manager (ARM), Azure Active Directory (AAD), Azure Monitor, Azure Virtual Machines, Azure Kubernetes Service (AKS)

Client: Cigna, India July 2017 - Aug 2019

Role: DevOps Engineer

Responsibilities:

Automated cloud resource provisioning and configuration using AWS CloudFormation and Azure ARM templates.

Built and maintained CI/CD pipelines on AWS CodePipeline, Azure DevOps, or similar platforms for automated building, testing, and deployment.

Configured AWS (EC2, RDS, Lambda, S3, Elastic Beanstalk) and Azure (VMs, App Service, Containers, Functions) services for efficient hosting.

Implemented robust encryption mechanisms using cloud-native encryption services like AWS Key Management Service (KMS) or Azure Key Vault, safeguarding sensitive data from unauthorized access.

Experienced in leveraging kotlin features such as null safety, type inference, and extension functions to enhance code quality and developer productivity.

Managed containerization (ECS, EKS, Container Instances, AKS) for streamlined deployment.

Secured AWS and Azure infrastructure, managed networks, access, identity.

Utilized GitHub Pages for personal project showcasing. Enforced Git best practices with CodeCommit, Azure Repos.

Integrated various data sources, including databases and APIs, to populate Grafana panels.

Automated infrastructure and application deployments using AWS CloudFormation, AWS CLI, Azure CLI, PowerShell, or ARM templates.

Leveraged security services (Security Hub, WAF, Security Center, Sentinel) for compliance and protection.

Implemented automated testing for software quality in AWS and Azure.

Environment: Terraform, Maven, WAF, Azure Active Directory, S3, EC2, DynamoDB, SNS, SQS, Microservices, AKS, API gateway, Jenkins, Kubernetes, Azure VM’s, SQL Queries, AWS, Azure,kafka.

Contact this candidate