Devops Engineer Gen Ai
Resume:
H*B USA VISA HOLDER
Dinesh N
Email: **********.*@*****.***
Linked in: https://www.linkedin.com/in/dinesh-cloudarchitect/ AWS DevOps, Kubernetes, GEN AI Solution Architect
Summary:
Highly motivated and results-oriented DevOps Engineer with 14 years of experience in designing, implementing, disaster recovery plans, migration and maintaining robust and scalable infrastructure and automation solutions. Successfully orchestrated infrastructural reducing operational costs by 30% and improving system uptime by 20%. With a knack for optimizing AWS cost and usage, and implementing real-time monitoring. Proven expertise in CI/CD pipelines, cloud computing (AWS, Azure), containerization (Docker, Kubernetes), IaC
(Terraform, Ansible, Cloud Formation), and scripting (Python, Bash). I am eager to leverage my expertise to drive efficiency and security in my next role. TECHNICAL SKILLS:
Cloud Platforms: AWS (EC2, S3, Lambda, EKS, Cloud formation, RDS, EKS, GEN AI Sage Maker, VPC, LoadBalancer, gateways) Azure VMs, Functions, AKS (Compute Engine, Storage, Kubernetes Engine)
Containerization: Docker, Kubernetes (Deployments, Services, Ingress, Networking)
CI/CD: Jenkins, GitLab CI/CD, AWS DevOps
Build manager: Ant, Maven
Infrastructure as Code: Terraform, Ansible, AWX, CloudFormation
Web/App Server: IBM WAS, Weblogic, Apache Tomcat
Scripting: Python, AWS Boto3, Bash, Json, Yaml, Terradform Hashi Corp Limited.
Monitoring & Logging: Prometheus, Grafana, ELK Stack, CloudWatch, Splunk.
Networking: VPCs, Subnets, Security Groups, Load Balancing, DNS
Version Control: Git. Ticketing: Jira, Salesforce
Operating Systems: Linux (Rhel, Ubuntu, Amazon Linux), Windows Server EDUCATION: BTech –Information Technology. 2007- VIT University. WORK EXPERIENCE:
TCS, Technical Architect - 07/03/2022 – Present
Client: Apple Inc. California
Responsibilities:
Understanding customer business needs and translating them into technical solutions.
Designing and implementing scalable and secure cloud architectures.
Designed and implemented CI/CD pipelines using [Specific tools, e.g., Jenkins, GitLab CI/CD] to automate builds, testing, and deployments.
Designed and implemented a scalable Kubernetes cluster architecture for a high-traffic Apple Retail platform, supporting a 3x increase in user traffic during peak sales events.
Designed and implemented a scalable Kubernetes cluster architecture for a high-traffic e- commerce platform, supporting a 3x increase in user traffic during peak sales events.
Implemented a Continuous Integration/Continuous Deployment (CI/CD) pipeline using Jenkins and AWS CodePipeline, increasing deployment frequency by 50% and reducing deployment errors by 40%.
Implemented AWS CloudWatch for real-time monitoring and logging, resulting in a 30% reduction in incident response time.
Implement and deploy state-of-the-art machine learning algorithms under Generative AI.
Developed and maintained AWS CloudFormation scripts to automate the creation of AWS resources, reducing the time to provision infrastructure by 70%.
Developed automated scripts to deploy services and infrastructure components in AWS.
Developed and maintained infrastructure as code using [Specific tools, e.g., Terraform, Ansible] to provision and manage cloud resources.
Automated infrastructure provisioning and management using Terraform, reducing manual intervention and accelerating environment setup
Containerized applications using Docker and deployed them to Kubernetes clusters.
Created AWS Route53 to route traffic between different regions.
Build out server automation with Continuous Integration - Continuous Deployment tools like Jenkins/Maven for deployment and build management system.
Monitored application performance and system health using [Specific tools, e.g., Prometheus, Grafana] and implemented alerts for critical issues.
Troubleshooted and resolved production issues efficiently and effectively.
Migrated multiple applications end to end from On-premises to Kubernetes cluster.
Trained and deployed ML models in Prod AWS GEN AI Sagemaker
Designed and created infrastructure in AWS Cloud EKS cluster, and deployed Applications.
Use agile Methodology throughout the project. Involved weekly and daily basis release management.
Perform code reviews, evaluate implementations, and provide feedback for tool improvements
Quickly troubleshoot and resolve network, hardware, and software and performance issues, including rotating on call emergency response.
Proficient in writing Helm charts, Kubernetes yaml files for deployment of micro services into Kubernetes clusters.
Experience in Kubernetes to deploy scale, load balance and manage Docker containers with multiple name spaced versions.
GEN AI Sage Maker Working knowledge on installation and managing the project.
Using GEN AI Monitoring Security changes.
Well versed in DNS, Load Balancing, SSL, TCP/IP, networking and security Azul Systems, CSE - 01/2013 to 03/2022
Client: Citi Bank, NY.
Responsibilities:
Experience in AWS platform and its features including IAM, EC2, EBS, VPC, RDS, Cloud Watch, Cloud Trail, Cloud Formation AWS Configuration, Autoscaling, Cloud Front, S3, SQS, SNS, Lambda and Route53. Experience with designing and configuring secure Virtual Private Cloud (VPC) through private and public networks in AWS by creating various subnets, routing table, Network ACL, NAT gateways
Evaluation/design/development/deployment of additional technologies and automation for managed services on AWS
Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.
Managed Docker orchestration and Docker containerization using Kubernetes.
Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.
Managed Docker orchestration and Docker containerization using Kubernetes.
Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
Design, implement and maintain all AWS Infrastructure and services within a managed service environment.
Implement process and quality improvements through task automation. Institute infrastructure as code, security automation and automation or routine maintenance task.
Wrote several Ansible playbooks for the automation defined through tasks using YAML
Hands-on experience on implementing Cloud Solutions using various EC2, S3, AWS VPC, VPC peering and Transit gateway, Amazon Simple Notification Service
(Amazon SNS), CloudWatch, Classic and Application Load Balancer, High availability.
Strong knowledge with Web Services, API Gateways and application integration development And design.
Using AWS Boto3 to integrate phyton scripting with AWS Cloud.
Evaluation/design/development/deployment of additional technologies and automation for managed services on AWS.
Designed and developed AWS Cloud Formation templates to create custom VPC, Subnets, NAT to ensure deployment of web applications.
Actively manage, improve, and monitor cloud infrastructure on AWS EC2, S3, and RDS, including backups, patches, and scaling
Built and deployed Docker containers to break up monolithic app into Micro services, improving developer workflow, increasing scalability, and optimizing speed
Managed GitHub repositories and permissions, including branching and tagging
JVM performance tunings, Crash dump analysis, Heap dump analysis, Thread dump analysis. Scaling up application by applying performance tunings.
Analyze GC logs and providing High-performance and elastic JVM with unsure passed scalability.
Working on Safepoint and Checkpoint crashes, analyzing the core files and finding the root cause of the issue.
Trouble shooting various problems in different stages of development using log files. Record all messages and deliver in a timely fashion
Excellent working knowledge of Operations & Production Support with large mission critical systems in multiple technologies and platforms including IBM Websphere application server 6.x/7.x/8.x, Weblogic, Tomcat.
Planning, Installation, Configuration and Administration of IBM WebSphere Application Server on various platforms like Linux, HP-UX and Windows server platforms on AWS Cloud.
Troubleshooting, backup and recovery in multiple Applications
Configured and Enabled the Global Security System WAS Administration for console users and console Groups using Active Directory Server as a LDAP User Registry.
Providing support for performance test activities by analyzing logs and various platform statistics and hence provided improvement suggestions. Mphasis,
Technical Support engineer 2010-March to 2012- July Client: Bank of America, NY.
Responsibilities:
Responsible for all Administrative tasks including WebSphere Application Server domain configuration which includes components like WebSphere Application server, IHS web server.
Ensure every ticket is being walked from inception to satisfactory completion in the shortest possible time, with the best quality of response.
Continue to look for client requests and ensure they are getting technically rich responses.
Ensuring that warnings generated by monitoring are responded to in a timely manner. Ensuring that any inventory repository is up to date for all supported components.
Ensuring that all documentation necessary for the support of those components is up to date and is accessible to all who may require it.
Configuration of WebSphere Application Server to external database DB2.
Configuring Server for LDAP security.
Installation, Configuring, Upgrading, and troubleshooting the WebSphere Application Server.
Installed IBM HTTP Server on different nodes and configured them by generating the plug-in.
Responsible for deploying, monitoring application, log files and provided information to the developers.
Configured and Enabled the Global Security System for WAS Administration for Console users and Console Groups using Active Directory Server as a LDAP User Registry.
Configured WebSphere™ Application Server in conjunction with DB2.
Configured WebSphere resources like JDBC providers, JDBC data sources, connection pooling.
Involved in Creating and Managing the Nodes, Application Server’s, and Clusters.
Trouble shooting various problems in different stages of development using logs files
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