AWS Devops Architect

PAUL AKRONG

************@*****.*** 650-***-****

AWS/ CLOUD ENGINEER AND ARCHITECT

•Certified, highly seasoned IT professional with over 22+ years of total experience, including 15+ years of expertise in Systems Engineering, Cloud Engineering, and DevOps Engineering

•Demonstrates expertise in leveraging a diverse array of AWS services, including EC2, ELB, Auto Scaling, S3, Glacier, VPC, Route 53, CloudWatch, and IAM Roles and Policies

•Proficient in implementing DevOps methodologies, specifically Continuous Integration (CI) and Continuous Deployment/Delivery (CD), utilizing renowned CI tools such as Jenkins, Ansible, and VSTS

•Extensive experience working with AWS services and proficiently applying DevOps practices

•Skilled in implementation of CI/CD using Jenkins, Ansible, and VSTS with expertise in building tools like Maven, Gradle, and NodeJS for deploying artifacts generated from source code

•Adept at infrastructure as code versioning and management using Terraform and CloudFormation

•Deployed web applications using AWS S3, served through CloudFront and Route 53, leveraging AWS CloudFormation

•Proficiently monitored logs and managed infrastructures with SPLUNK and Nagios. Configured and deployed to application servers such as WebLogic, Nginx, and Apache Tomcat. Skilled in scripting with Perl, Groovy, and Python programming languages

•Excellent understanding of SDLC methodologies, including Agile, Scrum, and Waterfall

•Utilized AWS Serverless Application Repository and Lambda functions for deploying applications

•Automated AWS services using Python scripts, including web servers, ELB, CloudFront distribution, databases, EC2, database security groups, S3 bucket, and application configuration. Scripting proficiency in Python, Perl, and Groovy

•Experience with containerization tools such as Docker and Kubernetes, Created Kubernetes YAML files for automatic deployment of SCM dashboard CI/CD applications, reducing time costs

•Worked with version control systems such as GIT and Source code management client tools such as GitHub, GitLab, and Bitbucket

•Built automation runners in GitLab to create Docker images. Used configuration management tools like Puppet and Ansible

•Insightful knowledge and experience with security practices, including IAM, CloudWatch, and CloudTrail

•Worked with deployment services such as Elastic Beanstalk, OpsWorks, and CloudFormation

•Possesses strong troubleshooting skills and the ability to thoroughly document the build and release processes

TECHNICAL SKILLS

DevOps and Container: Jenkins, Kubernetes, Docker, CI/CD, Ansible, Git, AWS CodeCommit, CodeDeploy, CodeBuild. EKS, AKS, ECR, ECS, Urban Code, ElK, jfrog, Slack

Programming Languages: Java, Python, Javascript

Cloud: AWS, Public Cloud

Scripting: Python, Node.js, UNIX, Shell scripting, LINUX, FTP, SSH, YAML

Operating Systems: Unix/Linux, Ubuntu, Amazon Linux, CentOS, Windows, MS Server, Windows Server

Software: Eclipse, Visual Code, Amazon Chime, Zoom, Slack

Monitoring and Security: CloudWatch, CloudTrail, Splunk, ELK

Network Protocols: HDFS, SMTP, SNMP, ICMP, TCP/IP, FTP, TELNET, UDP, RIP, iSCSI, Fibre Channel, NIS, NFS, DNS, DHCP, Cisco Routers/Switches, WAN, LAN, NAS. SAN

Web and SRE: MJBOSS, Apache Tomcat, Apache2, IntelliJ

Databases: Microsoft SQL Server Database, MySQL, PostgreSQL, Amazon Redshift, Cassandra, NoSQL MongoDB, RDS Database normal forms and data warehouse models, Redshift

CAREER HISTORY & SELECTED HIGHLIGHTS

DevOps Architect

Kinship, San Francisco Oct 2023- Present

•Improved deployment time of the DevOps pipeline by implementing optimizations and streamlining processes

•Implemented and customized GitHub Actions to automate CI/CD workflows, enhancing code quality and deployment efficiency

•Collaborated on an AI project from inception to provisioning infrastructure and deploying applications

•Leveraged the Pulumi framework for infrastructure as code (IAC), ensuring consistent and reproducible environments

•Utilized AWS Cloud services to provision and manage resources needed for the AI project

•Led the migration of a backend application to Amazon EKS, ensuring scalability, reliability, and efficient resource utilization

•Implemented bug fixes and optimizations for the migrated application, contributing to enhanced system stability

•Applied TypeScript programming language for infrastructure scripting and automation

•Utilized GitHub and GitHub Actions for version control, collaboration, and continuous integration

•Leveraged Jira for project management, issue tracking, and agile development

•Defined and adhered to bi-weekly release cycles, aligning with Scrum methodology and ensuring timely software deliveries

•Translated Scrum stories into actionable tasks and participated in sprint planning and review sessions

•Collaborated with cross-functional teams to bridge the gap between development and operations

•Conducted regular system audits to identify areas for improvement and implemented necessary optimizations

•Contributed to documentation efforts, ensuring comprehensive and up-to-date records of infrastructure and deployment processes

•Demonstrated a commitment to continuous learning, staying updated with industry best practices and emerging technologies

•Adapted to evolving project requirements and technology landscapes, ensuring the scalability and future-proofing of infrastructure

•Collaborated with developers, system administrators, and other stakeholders to facilitate seamless communication and knowledge-sharing

•Contributed to the development of a collaborative and efficient DevOps culture within the organization

•Implemented robust quality assurance processes within the CI/CD pipeline, ensuring the reliability of software releases

•Collaborated on security measures, following best practices to maintain a secure and compliant infrastructure

•Demonstrated a results-oriented approach, focusing on tangible improvements in deployment times, system performance, and overall DevOps efficiency

DevOps/Cloud Architect

Chrysler Motors Corp., Beaverton, Oregon Nov 2020-Oct 2023

•Spearheaded the implementation of AWS Code Pipeline and crafted CloudFormation JSON templates in Terraform, adopting the infrastructure-as-Code paradigm

•Developed Cloud Formation Templates (CFT) in both JSON and YAML formats to build AWS services, streamlining deployment processes

•Streamlined and automated application development and deployment procedures by harnessing the power of Docker Swarm and Docker Compose

•Established unified and automated processes, enhancing efficiency and reducing manual intervention

•Built staging and production environments using Terraform Templates, ensuring scalability and fault tolerance across multiple AWS availability zones

•Developed and maintained multi-tier AWS environments, showcasing expertise in debugging and troubleshooting Terraform deployments.

•Led the migration of on-premises applications to the cloud, employing critical AWS tools such as ELBs and Auto-Scaling policies for scalability, elasticity, and availability

•Automated cloud deployment using Chef, Python, and AWS CloudFormation Templates. Utilized Chef for unattended bootstrapping in AWS

•Managed high-availability clustered and standalone server environments using Ansible for scripting and configuration management

•Crafted Ansible scripts to enhance automation components and refine deployment processes

•Developed Kubernetes deployment, stateful sets, network policy, dashboard, and network policies

•Leveraged Helm charts for creating, defining, and updating Kubernetes clusters and crafted OpenShift/Kubernetes templates for applications like Jenkins, Kafka, Cassandra, and Grafana

•Created puppet scripts for installing stack-like LXC containers, Docker, Apache, Postgres, PHP, Python virtual environments, SonarQube, Nexus 2/3, WildFly/Boss applications, and Django applications

•Utilized Maven POM.XML files to automate build activities and engineered Jenkins jobs for creating AWS infrastructure from GitHub repositories containing Terraform code. Administered Jenkins for efficient management of weekly builds

•Designed and implemented highly resilient and scalable AWS environments, embraced cutting-edge technologies and best practices in DevOps, automation, and configuration management

Cloud/Security Architect

Macy’s Inc., New York, NY Feb 2018-Nov 2020

•Created and managed AWS Security Groups to enforce robust traffic security for AWS EC2 instances, ensuring a secure and compliant environment

•Implemented end-to-end automation for server build management, monitoring, and deployment on various platforms, including Amazon EC2, Jenkins Nodes/Agent, and SSH

•Utilized Ansible playbooks and CI tools such as Rundeck and Jenkins to automate continuous deployment, application server setup, and stack monitoring.

•Extended Jira's functionalities through Groovy scripting using plugins like Script Runner. Developed advanced workflows, conditions, and scripted fields.

•Installed Ansible Server and clients for automated deployment of builds from Jenkins' repository to target environments (Integration, QA, and Production)

•Upgraded, migrated, and integrated Jira with other Atlassian applications and toolsets, including SVN, Artifactory, Jama, and Jenkins.

•Created automation and deployment templates for both relational and NoSQL databases, including MSSQL, MySQL, Cassandra, and MongoDB, within the AWS environment

•Configured AWS ELB for auto-scaling based on application user traffic and managed multi-tier and multi-region architecture using AWS CloudFormation.

•Integrated automated build processes with deployment pipelines.

•Applied business process flow, business process modeling, business analysis, and various testing methodologies to ensure efficient project management.

•Provided technical expertise for upgrading existing production systems, security configurations, and database services.

•Customized Jira with built-in customization and third-party add-ons to meet client requirements and standards

•Managed users, project roles, time tracking, security, and plugins for multiple projects, offering valuable recommendations to end users and leaders regarding best practices and standardization

•Enforced industry-leading security best practices in AWS environments, prioritizing the confidentiality, integrity, and availability of systems and data

•Implemented robust IAM policies and roles in AWS, ensuring least privilege access and maintaining a secure and well-controlled access environment

•Utilized encryption mechanisms for data in transit and at rest, implementing SSL/TLS for secure communication and leveraging AWS Key Management Service (KMS) for encryption key management

Cloud Engineer

Virgin America, Boulevard, Burlingame Jun 2015- Feb 2018

•Collaborated with the development team to identify and resolve application issues, leveraging AWS services such as Amazon Kinesis, AWS Lambda, Amazon SQS, Amazon SNS, and Amazon SWF

•Established and maintained databases, including RDS and EC2-based databases, in the cloud. Installed, configured, and managed the GitHub repository to ensure its proper functioning

•Configured performance and security alert monitoring using CloudWatch and CloudTrail

•Integrated GitHub and Bit with Jenkins through various plugins, scheduling multiple jobs in the build pipeline

•Managed network settings, including Route53, DNS, ELB, IP Address, and Cider configurations, to ensure optimal performance and functionality

•Developed highly available and resilient applications using AWS Services like Multi-AZ, Read replicas, ECS, and other related services

•Deployed and managed Docker containers on Kubernetes, successfully migrating containerized environments from ECS to Kubernetes Cluster

•Provided various storage solutions, including S3, EBS, EFS, Glacier, and others, as needed

•Deployed applications onto their respective environments using Elastic Beanstalk

•Deployed and debugged cloud initiatives following best practices throughout the development lifecycle

•Utilized AWS DataSync to migrate petabytes of data from on-prem to AWS Cloud

•Maintained continuous integration and continuous delivery processes

•Performed troubleshooting and resolved issues within Kubernetes clusters

•Applied knowledge of Web Services, API Gateways, and application integration development and design to enhance application performance and functionality

•Implemented event-driven and scheduled AWS Lambda functions to trigger various AWS resources

•Performed data migration from on-premises environments into AWS

AWS DevOps Engineer

Regions Financial Corporation, Birmingham, Alabama Feb 2011-Jun 2015

•Prepared Linux and AWS support teams for new product and service releases, facilitating the adoption of innovative technologies

•Consulted with clients and internal stakeholders to provide insights on architectural design considerations

•Built a Cloud-based Document Management System using Lambda, Elasticsearch, Containers, Python and Java codes, S3, and DynamoDB

•Monitored and managed Linux systems within a complex multi-server environment

•Deployed a classic web app to AWS ECS containers, implementing a scalable and resilient application with Instance Group, Autoscaler, HTTP Load balancer, Autohealing, and Google App Engine

•Collaborated with internal teams and external clients through various communication channels, including face-to-face meetings, phone calls, email, web portal, and intranet

•Applied core technologies such as Apache/Nginx, MySQL/PostgreSQL, Varnish, Pacemaker, CRM Clustering, Kubernetes, ELK, and Redis

•Utilized Ansible/Ansible Tower as a configuration management tool to automate daily tasks, expedite critical application deployments, and proactively manage change

•Operated and maintained systems on AWS, deploying built artifacts to the application server using Maven, and integrating Maven builds with Jenkins

•Implemented Infrastructure-as-Code (IaC) principles, maintaining an IaC codebase using Puppet, Terraform, and Ansible

•Deployed Dev, QA, and Prod environments using Terraform variables, managing Terraform code with Git version control, and defining reusable Terraform modules for Compute and Users across different environments

•Automated daily tasks using Bash (Shell) scripts, documented environment changes on each server, and analyzed error logs, user logs, and VAR/LOG messages

•Installed a multi-node Cassandra cluster, induced failures, created keyspaces/tables, and accessed them from the client using Cassandra and the BigData Tech Stack

•Utilized GCP and Azure in a Proof of Concept for an event registration app, leveraging AppServer Instances, Azure Active Directory, Functions, and CDN

AWS Cloud/Data Engineer

AQR Capital Management, Greenwich, CT Apr 2008- Feb 2011

•Designed and implemented data models suitable for extracting, transforming, and loading (ETL) data from various sources

•Ensured the effective storage of data in formats conducive to analytical processing

•Established robust backup and recovery procedures to maintain data integrity and minimize the impact of potential disruptions

•Identified and implemented opportunities to enhance database performance through improvements in structure and indexing methodologies

•Conducted regular performance assessments to ensure optimal database operation

•Conducted ongoing research to identify emerging technologies applicable to data engineering projects

•Assessed and recommended new tools and methodologies to enhance data processing capabilities

•Analysed large datasets to uncover patterns and insights that informed strategic decision-making.

•Collaborated with business stakeholders to translate data findings into actionable strategies.

•Developed new applications leveraging existing datasets to create innovative products or enhance existing services

•Implemented code updates and new features in existing applications to align with evolving business requirements

•Designed and implemented robust security measures to safeguard data against unauthorized access or misuse

•Ensured compliance with data protection regulations and industry best practices

•Recommended and implemented infrastructure changes to improve storage capacity and overall system performance

PREVIOUS EXPERIENCE

IT Administrator

Eli Lilly & Co., Indianapolis, Indiana Jan 2002-Apr 2008

•Configured and maintained local area networks (LANs) and wide area networks (WANs)

•Implemented and managed network protocols, including TCP/IP

•Administered Windows Server environments, ensuring optimal performance and reliability

•Conducted routine server maintenance tasks, including software updates and patches

•Implemented security measures to safeguard company data and systems

•Managed user permissions and access controls to ensure data integrity

•Provided technical support to end-users, troubleshooting hardware, and software issues

•Installed and configured desktop computers, peripherals, and software applications

•Implemented backup strategies to safeguard critical data

•Developed and executed disaster recovery plans to minimize downtime

•Administered email systems, including setup, maintenance, and troubleshooting

•Implemented spam filters and security measures for email communication

•Assisted in the evaluation and implementation of new technologies to enhance efficiency

•Upgraded hardware and software components to align with industry best practices

•Maintained detailed documentation of IT systems, configurations, and procedures

•Generated regular reports on system performance and IT infrastructure status

EDUCATIONAL DETAILS

Master of Science in Supply Chain Manager

Bachelor of Arts in Economics

Certifications

Azure Solutions Architect Expert

AWS Solutions Architect

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