AWS DevOps Architect

ROBERT KEVIN

Phone: (***) *** - **** Email: *********************@*****.***

PROFILE SUMMARY

With 11 years in Information Technology and over 8 years specializing in cloud technologies, I am a seasoned Senior Cloud Architect. My expertise spans both AWS and On-Premises, where I have successfully transitioned numerous organizations from monolithic to microservices frameworks.

Key Expertise:

• Cloud Architecture: Extensive experience in AWS and Azure Cloud Architecture with in-depth knowledge of services such as EC2, Virtual Machines, EKS, VPC, RDS, ELB, IAM, Azure AD, Route 53, Direct Connect, and ExpressRoute.

• Containerization: Expertise in Docker, Kubernetes, and EKS, skilled in deploying and managing containerized applications at scale.

• Scripting & Automation: Proficient in Bash, Python, and Groovy scripting. Experienced in automating build, deploy, and CI/CD workflows using Terraform and CloudFormation.

• Database Solutions: Extensive experience with core AWS database services, designing and implementing robust, scalable database solutions.

• Cloud Security: Proven ability to secure cloud environments with IAM, CloudWatch, and Splunk, ensuring proactive monitoring for optimal uptime.

• Advanced Services: Successful implementation of advanced services like EKS and CloudFront, deploying web applications on AWS S3 via CloudFront and Route 53 with CloudFormation.

• SDLC & DevOps: Comprehensive understanding and execution of the full Software Development Life Cycle (SDLC) with a DevOps and Agile approach.

• Linux & Windows Administration: Proficient in Linux (Ubuntu, RedHat) and Windows environments.

• Business Process Analysis: Skilled in business process analysis, use case creation, and requirements definition, driving innovation in services and businesses.

• End-to-End Solutions: Engineered end-to-end Cloud System Solutions prioritizing resilience, security, performance, availability, and scalability.

• Monitoring Tools: Hands-on experience with monitoring tools like CloudWatch, Prometheus, Datadog, Grafana, and Nagios.

• Communication: Demonstrated exceptional verbal and written communication skills, effectively engaging with technical and non-technical stakeholders across various organizational levels.

TECHNICAL SKILLS

DEVOPS & CONTAINER: Git, Jenkins, Ansible, Docker, Kubernetes, AWS CodePipeline/Azure DevOps, ECR, ECS, EKS, ELK, AKS JFrog Artifactory

PROGRAMMING LANGUAGES: Java/Groovy, Python, Bash, NodeJS/JavaScript

CLOUD: AWS, Azure Site Reliability Engineering (SRE)

MARKUP: YAML, XML, JSON, HCL

OPERATING SYSTEMS: Unix/Linux, Windows, MacOS

MONITORING & SECURITY: CloudWatch, CloudTrail, Splunk, ELK, Azure Monitor, Sentinel, Defender for Cloud, Datadog, Grafana

NETWORK & PROTOCOLS: TCP/IP, UDP, DNS, DHCP, SMTP, SNMP, ICMP

DATABASES: SQL Server Database, MySQL, PostgreSQL, Amazon Redshift, Cassandra, NoSQL, MongoDB

IAC: CloudFormation, Azure Resource Manager, Terraform

PROFESSIONAL EXPERIENCE

Oct 2023 – Present

DevOps Solutions Architect

Molina Healthcare – Long Beach, CA

Project Summary:

At Molina Healthcare., I spearheaded DevOps transformation by automating continuous deployment with Ansible, migrating Linux

environments to AWS securely and implement robust security protocols using AWS CloudFormation and Ansible. I optimized database capacity, managed Kubernetes clusters, and enhanced cloud security with tailored Lambda functions for S3. • Build, design, configure, and deploy AWS solutions utilizing services such as CloudFormation, CloudWatch, SQS, IAM, EC2, Route53, VPC, S3, and RDS to support high availability, fault tolerance, and scalability.

• Lead migrations to AWS, ensuring secure deployment of EC2 instances in VPCs and designing comprehensive migration strategies for Linux environments.

• Promote DevOps best practices by automating continuous deployment using Ansible, developing YAML-based playbooks, and scheduling tasks with Ansible Tower.

• Integrate Ansible with Jenkins for automated deployments and configuration management.

• Create and manage infrastructure-as-code (IaC) using Terraform and automate workflows using Ansible Tower.

• Design and implement robust security protocols using CloudFormation templates and Ansible modules to enforce least privilege access through IAM, security groups, and NACLs.

• Enhance cloud security by creating Lambda functions for S3 object categorization and resolving code vulnerabilities.

• Develop and maintain Docker containers and orchestrate deployments using Kubernetes, managing clusters and automating Kubernetes operations through Ansible playbooks.

• Architect and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, and ArgoCD.

• Integrate Maven, Nexus, and JFrog Artifactory for artifact management and automate testing, builds, and deployments.

• Work with development teams to ensure optimal database capacity and instance configurations to meet application requirements.

• Conduct performance testing and failover evaluations for RDS Multi-AZ instances and Platform Cloud Foundry (PCF) applications.

• Use AWS CloudWatch alerts and metrics to monitor performance and optimize Auto Scaling configurations.

• Analyse logs for troubleshooting performance and database issues.

• Apply Lean principles to enhance workflow efficiency, prioritize customer feedback, and drive continuous improvement in processes.

• Participate in Change Approval Board (CAB) meetings to provide insights and approvals for production changes.

• Coordinate release schedules and reporting using JIRA while ensuring successful testing and deployments.

• Engineer and manage Elastic Load Balancers (ELBs) and EC2 Auto Scaling groups for optimized resource utilization.

• Develop build and maintenance scripts to streamline software development processes.

• Engage in process improvement initiatives to maximize efficiency and deliver value.

Jul 2021 – Aug 2023

Sr, AWS Cloud Architect

Rivian Automotive Inc. - Irving, CA

Project Summary:

At Rivian Automotive Inc., I led the design and deployment of secure, scalable cloud environments on AWS and Azure. Championing Infrastructure-as-Code (IaC) with CloudFormation, Terraform, and ARM templates, I automated critical infrastructure deployment. I streamlined software development lifecycles, migrated on-premises applications to AWS and Azure, and implemented containerized solutions on AKS and AWS infrastructure. • Managed containerized applications on Elastic Kubernetes Service (EKS), leveraging Kubernetes orchestration for scalable and resilient microservices architecture.

• Established best practices for CI/CD workflows, including version control, automated testing, code quality checks, and deployment strategies, accelerating software delivery and consistency.

• Engineered robust, scalable, and highly available cloud environments on AWS to support critical Rivian Automotive Company applications and data, implementing SRE principles for reliability and fault tolerance.

• Supported Rivian Automotive Company’s AWS environment, resolving technical issues promptly to ensure seamless operations.

• Implemented CloudTrail logging configurations to capture API call audit trails, ensuring compliance with regulatory requirements such as PCI DSS, HIPAA, and GDPR.

• Successfully migrated on-premises applications to AWS, optimizing scalability with Elastic Load Balancers (ELBs), Azure Load Balancers, and auto-scaling policies to align with Rivian Automotive Company’s business requirements.

• Configured Cloud Watch to monitor and optimize the performance and health of AWS resources with metrics, alerts, and dashboards, enabling proactive monitoring and troubleshooting.

• Used DataDog for real-time insights to performance applications, servers, and services to identify any troubleshoot or issue that becomes critical.

• Spearheaded Infrastructure-as-Code (IaC) adoption with CloudFormation, Terraform, ensuring efficient and automated deployment across essential infrastructure components like VPCs, RDS, and S3.

• Automated software development lifecycles for internal applications, integrating Maven/Gradle builds and Jenkins deployments with IaC tools on AWS and Azure, managing Dev, Staging, Prod, and DR environments for operational efficiency.

• Implemented Azure Log Analytics Workspace for centralized logging and advanced analytics of Azure resources, enabling operational insights and compliance reporting.

• Automated deployment, scaling, and management of containerized applications using Kubernetes Helm charts and Operators on AWS infrastructure.

• Implemented robust monitoring and logging solutions for AWS Kubernetes clusters using Prometheus, Grafana, and AWS CloudWatch, ensuring real-time visibility into system health and performance metrics.

• Provided expert guidance on AWS infrastructure provisioning, networking, security, and integration with Kubernetes and EKL stack components for Rivian Automotive Company’s team.

• Automated repository management, testing, and deployment workflows using Python and Bash scripts, enhancing efficiency and streamlining IT processes across AWS and Azure.

• Orchestrated infrastructure automation with Ansible Playbooks, Python scripts, and configuration management techniques across AWS and Azure environments, ensuring centralized control and efficiency.

• Facilitated collaborative project management and API integration through Jira and Confluence, enhancing communication and development practices across AWS and Azure services.

• Monitored and optimized cloud infrastructure costs with Nagios and Datadog, ensuring efficient resource allocation across AWS and Azure platforms.

Sep 2019 – Jun 2021

Sr. DevOps Engineer

Lunya – Boston, MA

Project Summary:

As a Senior DevOps Engineer at Lunya, I orchestrated cloud-based database deployments to ensure optimal performance and scalability for critical applications. I integrated AWS services like AWS CodeCommit, AWS CodeDeploy, and AWS Elastic Beanstalk into robust CI/CD pipelines, automating reliable code deployments at scale. By championing DevOps practices with Ansible, Python, and Bash scripting, I automated infrastructure provisioning across environments. I developed custom CloudTrail event filters and alerts using AWS CloudWatch Events and Lambda functions to automate incident response and enhance compliance. • Managed cloud-based database deployments, ensuring optimal performance, scalability, and data integrity for critical Lunya applications.

• Integrated AWS services such as AWS CodeCommit, AWS CodeDeploy, and AWS Elastic Beanstalk into CI/CD pipelines to automate code deployment reliably and at scale.

• Championed DevOps practices by automating infrastructure provisioning and configuration across environments using Ansible, Python, and Bash scripts.

• Used Grafana Labs for data source query and support and customized using interface to help write dashboard into a variety of panels.

• Developed custom CloudTrail event filters and alerts with AWS CloudWatch Events and AWS Lambda functions to automate incident response, threat detection, and compliance enforcement workflows.

• Leveraged collaboration tools to enhance communication and coordination among team members, cultivating a productive and cohesive cloud environment.

• Spearheaded AWS cloud infrastructure provisioning, leveraging technologies like EC2 and ECS clusters to ensure scalable and reliable deployments for critical applications.

• Pioneered containerization with Docker for production systems, optimizing resource utilization and achieving high scalability with load balancers and distributed architectures.

• Successfully led a migration from ECS to Kubernetes for enhanced resource management and improved scalability to meet Lunya's growing needs.

• Designed and implemented secure cloud solutions prioritizing data integrity and confidentiality, adhering to Lunya's rigorous compliance requirements.

• Streamlined code management and collaboration by overseeing Git repositories for efficient version control.

• Integrated DevOps practices throughout development and operations workflows, fostering collaboration, automation, and continuous delivery to accelerate time to market and enhance product quality.

• Collaborated on secure and performant VPC design and implementation, optimizing network configuration with subnets, availability zones, and security best practices to safeguard sensitive Lunya data.

• Implemented proactive monitoring with CloudWatch and CloudTrail, ensuring optimal system health, identifying security risks, and maintaining compliance for Lunya.

• Authored Infrastructure-as-Code (IaC) templates with CloudFormation or Terraform to ensure efficient and repeatable cloud resource management for Lunya's infrastructure.

• Utilized the Kanban method to optimize workflow visualization, manage work in progress (WIP), and identify bottlenecks, ensuring smooth and efficient feature delivery and enhancements.

• Enhanced cost efficiency by implementing event-driven AWS Lambda functions for serverless computing tasks.

• Delivered data migration solutions aligned with Lunya's data management strategies, ensuring seamless cloud transition.

• Established and managed CI/CD pipelines with Jenkins, Git, and Docker registry to facilitate efficient and automated code integration and deployment for faster development cycles.

Nov 2017 – Aug 2019

Sr. AWS DevOps Engineer

TD Bank, Cherryhill, New Jersey

Project Summary:

As a Senior AWS Architect at TD Bank, I led ELB and EC2 Auto Scaling optimization using CloudWatch, automated continuous deployment with Ansible, and collaborated on database optimization and instance evaluation. I oversaw Linux migration to AWS, implemented robust security measures, and orchestrated automation with Ansible Tower and Terraform for streamlined software delivery.

Jan 2016 – Oct 2017

AWS Cloud Engineer

Exelixis, Alameda, CA

Project Summary:

As an AWS Cloud Engineer at Exelixis, I led the design of scalable production systems on AWS, including load balancers and caching for high traffic. I ensured proactive performance and security with CloudWatch and CloudTrail during successful cloud migrations. Using AWS tools, I maintained a robust CI/CD environment, optimized secure VPC configurations, and promoted DevOps practices to enhance application reliability and performance.

Jan 2013 – Dec 2015

Software Engineer

Dell Technologies, Round Rock, Tx

Project Summary:

As a Software Engineer at Dell Technologies, I designed and implemented an application using JSF Framework with EJB and Java Beans, integrated with AWS and Azure services like EC2, S3, EKS, ECS. Managed 8 billion daily records with Databricks. Implemented J2EE design patterns, enhanced data management with Postgres and MySQL, automated CI/CD pipelines, and improved system stability by 10% using Datadog and Grafana monitoring. Led feature development and ensured seamless user experience through infrastructure optimizations.

• Engineered and supervised Elastic Load Balancers (ELBs) and EC2 Auto Scaling groups. Leveraged CloudWatch alerts and metrics to optimize Auto Scaling launch configurations for efficient resource utilization.

• Deployed and maintained build scripts using Docker, Jenkins, and Maven. Utilized Nexus and JFrog Artifactory repositories for secure and efficient artifact storage.

• Spearheaded DevOps practices by automating continuous deployment with Ansible.

• Worked closely with development and application teams to optimize database capacity, evaluate suitable instance classes for workloads, and meet specific application requirements.

• Oversaw the large-scale migration of Linux environments to AWS, coordinating migration plans and deploying EC2 instances within secure Virtual Private Clouds (VPCs).

• Formulated and implemented robust security measures using AWS CloudFormation templates and Ansible modules. This encompassed configuring security groups, Network Access Control Lists (NACLs), IAM profiles, and roles for least privilege access.

• Developed YAML-based playbooks and orchestrated Ansible Tower for playbook scheduling and centralized management. Managed configuration files and remote machine deployments using Git version control.

• Conducted performance tests and failover evaluations for Platform Cloud Foundry (PCF) applications connecting to highly available RDS Multi-AZ instances. Established performance benchmarks and implemented failover strategies to ensure application resilience.

• Actively participated in Change Approval Board (CAB) meetings, contributing to discussions and decisions regarding production application changes.

• Implemented Lean principles to reduce waste, streamline flow, and enhance value delivery, prioritizing customer needs and feedback to drive continuous improvement and innovation.

• Developed Lambda functions for S3 bucket object categorization, enhancing cloud security with customized configurations. Conducted thorough code analysis to identify and mitigate potential vulnerabilities.

• Authored Ansible Playbooks and Puppet Manifests for effective server and application provisioning. Integrated Ansible seamlessly with Jenkins for automated deployments and configuration management.

• Orchestrated Puppet configurations across diverse systems to handle installations, upgrades, and configurations.

• Employed Ansible Tower to automate software development processes. Designed Terraform templates for virtual network provisioning and infrastructure as code (IaC) management.

• Analyzed logs for performance and database troubleshooting, utilizing CI systems such as Jenkins and Bamboo for automated builds and change list management.

• Managed Kubernetes clusters, supervised Docker containers, and implemented automation through Ansible playbooks for Kubernetes deployments.

• Customized Jenkins and Bamboo with a variety of plugins and tools, integrating Maven to automate continuous integration processes.

• Facilitated testing while overseeing release schedules and reporting for JIRA applications.

• Engineered and constructed highly scalable production systems for Exelixis on AWS, specializing in load balancers, caching (Memcached), and distributed architectures (master/slave) to manage high traffic volumes.

• Deployed comprehensive monitoring with CloudWatch and CloudTrail for proactive performance and security management, safeguarding Exelixis's critical infrastructure. Guided successful cloud migrations by analysing and strategically moving legacy on-premises applications to AWS. Ensured seamless transition and optimized performance for a smooth user experience.

• Utilized AWS provisioning tools (EC2 and ECS) to manage Exelixis's cloud infrastructure, maintaining a continuous integration and delivery (CI/CD) environment for rapid development and deployment.

• Designed a secure and performant VPC for Exelixis's cloud environment. Optimized network configuration with subnets, availability zones, and security best practices.

• Promoted DevOps practices by automating tasks across environments with a range of tools (Ansible, Bash/Python scripts). Automated builds, deployments, and releases to streamline development lifecycles.

• Enhanced code management and containerization by overseeing Git repositories and developing Docker containers for optimized Linux environments and Amazon Machine Images (AMIs) for Exelixis's applications.

• Configured robust network settings using Route53, DNS, Elastic Load Balancers (ELBs), IP addresses, and CIDR blocks to ensure optimal connectivity for Exelixis's applications.

• Upheld best practices throughout the development lifecycle for cloud initiatives, fostering quality and efficiency in deploying and debugging cloud solutions.

• Engaged with customers in the AWS Containers Area of Depth Technical Feedback Community, educating them on containerization solutions and contributing to the AWS community.

• Improved application deployments using Elastic Beanstalk and employed event-driven AWS Lambda functions to trigger resource allocation based on specific events, ensuring efficient resource utilization.

• Facilitated seamless data migration from on-premises environments to AWS. Resolved application issues using Amazon Kinesis, Lambda, SQS, SNS, and SWF services.

• Established a robust CI/CD pipeline by integrating Jenkins with GitHub and Bitbucket, utilizing various plugins to orchestrate multiple jobs within the build pipeline for a streamlined and automated development process.

• Provided expert troubleshooting and support for Kubernetes clusters, databases (RDS and EC2-hosted), and storage solutions (S3, EBS, EFS, and Glacier) to maintain optimal performance and address issues within Exelixis's cloud environment.

• Engineered highly available applications for Exelixis, leveraging AWS services such as multi-AZ deployments, read replicas, and ECS to ensure business continuity and minimize downtime.

• Designed the application by implementing JSF Framework based on MVC Architecture with EJB, simple Java Beans as a model, JSP, JSF, Prime Faces components as View, and Faces Servlet as a Controller.

• Developing a system using cloud-based infrastructure like AWS and Azure, including EC2, S3, EKS, ECS, NLB, AWS Glue, Athena, Lamba, ALB, and more, resulting in a scalable and efficient system.

• Implemented J2EE design patterns such as Session Facade, Factory, DAO, DTO and Proxy.

• Engineered a high-performance system capable of efficiently processing about 8 billion records every day of customer data using Databricks, optimizing data processing workflows

• Developed front end using Struts framework, business components using Spring framework and DAO classes using Hibernate framework for persistence management and involved in integrating the frameworks for the project.

• Improved data accessibility, storage, and space complexity by implementing solutions with databases such as Postgres and MySQL, enhancing overall data management

• Managed business objects, and resource management in the business logic tier using Spring Framework.

• Created CI/CD pipeline using Docker, Kubernetes, and GitHub tools

• Increased system stability and performance by 10% using Datadog and Grafana monitoring

• Lead a small team to develop a feature, meeting high-priority deadlines consistently

• Automated unit and load testing for around 3 billion records through simulating heavy loads of data and analyzing system performance.

• Addressed and resolved customer issues and migrations on the infrastructural end, ensuring a seamless and reliable user experience.

EDUCATION

Master of Science in Computer Science

University of Massachusetts, Boston, MA, USA

Bachelor of Technology in Information Technology

Anna University; Chennai, TN

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