Nigel Diones

CLOUD DEVOPS ENGINEER

Phone: 810-***-**** Email: adyj5k@r.postjobfree.com

PROFESSIONAL SUMMARY

•AWS and Azure technologist with 10+ years of experience in DevOps, IaC, CI/CD, and DevSecOps.

•Demonstrating in-depth experience with AWS and Azure Cloud Services, including EC2/Compute/VME; S3/Glacier/Storage; Networking including Load Balancing, CloudFront/CDN, VPC, SG/NSG, Direct Connect/Express Route; Route53; Monitoring Cloud Watch/Monitor, ELK; SNS/Communications; Serverless/Lambda/Functions; IAM/AWS Directory Services/Azure Active Directory/RBAC; and CloudFormation/Azure Resource Manager/Terraform.

•RDS SQL and NoSQL including mySQL, PostgreSQL, MariaDB, Oracle, SQL Server, DynamoDB, MongoDB, and DocumentDB.

•Migrating applications to the Cloud and implementing in DevOps using AWS CodePipeline and Azure DeveOps and CI/CD processes for building and deploying systems using tools such as Jenkins and Ansible, Puppet and Chef.

•Experience automating operations using Python, Bash, Groovy, and IaC.

•Working with containerization tools such as Docker and orchestration with Kubernetes.

•Possess expertise in working with monitoring tools like AWS CloudWatch, CloudTrail, Azure Monitor, Nagios, Prometheus, Datadog, and visualization with Grafana.

•Working with the development teams to automate Unit, Functional, Integration, Performance, Security and User Experience testing as part of the CI/CD pipeline with tools including SonarQube and JUnit.

CORE COMPETENCIES

Cloud • AWS • Azure • Requirement Gathering • DevOps Practices • Continuous Integration (CI) • DevOps • Python, Bash, Groovy • Continuous Deployment/Delivery (CD) • Training and Development • Administration• Troubleshooting • Embedded Technology • Agile Methodology

TECHNICAL SKILLS

Cloud – AWS, Azure

Infrastructure as Code - CloudFormation, Azure Resource Manager, Terraform

DevOps & Container – Jenkins, Terraform, Docker, Ansible, Kubernetes, Git,

AWS CodePipeline, Azure DevOps.

Data Extraction & Manipulation - SQL, NoSQL, ELK, AWS (RedShift, Kinesis, EMR)

Monitoring - CloudWatch, CloudTrail, Monitor, Splunk, Nagios, Prometheus

Languages - Python, Bash, Groovy, Java, PowerShell

Markup - XML, JSON, YAML

Operating Systems – Linux, Windows

PROFESSIONAL EXPERIENCE

Senior AWS/Azure DevOps Engineer

Global Atlantic Financial Group, Brighton, MA. Feb 2021 to Present

Global Atlantic is a majority-owned subsidiary of KKR, a leading global investment firm. Through its relationship, the company leverages KKR's investment capabilities, scale, and access to capital markets to enhance the value it offers clients. KKR's parent company is KKR & Co. Inc.

Responsibilities:

•Started as a senior AWS Engineer and then moved to Azure as well.

•Involved in design and implementation of CI/CD pipelines, playbooks and runbooks that serve the purpose of provisioning and operating client tests as well as production environments.

•Propose the appropriate technology strategy and solutions (on-premises and cloud-based).

•Worked on Site Reliability Engineering (SRE) to ensure highly available and fault tolerant deployments.

•Implement Terraform to manage infrastructure as code and automate the deployment of infrastructure.

•Work with new types of technology such as JFrog Artifactory, staying up to date with emerging trends and best practices.

•Work with Lambda and Functions; RedShift and EMR; RDS Instances; Virtual Machines; and overall Networking Environment.

•Create repositories with Git, ensuring that code is properly versioned and managed with a robust branching and merging strategy integrated into the CI/CD Pipeline.

•Create deployment stages, including in the containerized environments with Docker and Kubernetes, and ensure that deployments are reliable and meet performance and availability requirements.

DevOps Engineer

Hartford Financial Services Group, Inc., Hartford, CT. Jan 2020-Jan 2021

The Hartford Financial Services Group, Inc., usually known as The Hartford, is a United States-based investment and insurance company.

Responsibilities:

•Designed, configured, and deployed Amazon Web Services for multiple applications using the AWS stack (Terraform, Docker, CloudFormation, CloudWatch, SQS, IAM, EC2, Route53, VPC, S3, RDS) with focus on high-availability, fault tolerance, and auto-scaling.

•Developed strategy to migrate Dev/Test/Production from an enterprise VMware infrastructure to the IaaS AWS Cloud environment.

•Set up CI/CD pipelines in alignment with standard processes of software lifecycle development and testing to ensure pipelines were fully automated and functional and meet requirements before deployment to production.

•Installed and deployed ELK Stack (Elasticache, Logstash, Kibana) to monitor, aggregate and analyze logs of the various systems and hosts.

•Used Jenkins drive all microservices builds out to the Docker registry and deployed to Kubernetes.

•Implemented monitoring with Grafana and Prometheus.

•Created Python scripts to Automate AWS services such as Web Servers, ELB, CloudFront Invalidations, Database, EC2, Databases, and Security Groups.

•Implemented robust security with Key Management Service (KMS), Secrets Manager, Certificate Manager, Parameters, and Terraform variables and Vault.

•Applied AWS serverless services Lambda, API Gateway, SNS, SES, and SQS.

•Built the CI/CD pipeline and tested and deployed automation with Git Actions/Triggers, Jenkins, Terraform, and Ansible.

•Monitored Infrastructure with CloudWatch, Dynatrace, and Splunk.

•Wrote and executed Lambda functions in Python to automate infrastructure operations and healing tasks.

•Wrote CloudFormation Templates (CFT) in JSON and YAML formats to build the AWS services with the paradigm of Infrastructure-as-Code.

•Programmed Python scripts to AWS Operations, including web servers, ELB, CloudFront Distribution, Database, EC2 and Database security groups, S3 bucket and application configuration.

•Created and maintained highly scalable and fault tolerant multi-tier AWS environments spanning across multiple availability zones and regions.

•Created and administered databases in both SQL/Relational (Oracle, Postgres) and NoSQL (MongoDB and DynamoDB).

•Created detailed documentation of complex build and release processes using JIRA and Confluence.

Cloud Engineer

Philip Morris International, Stamford, CT. Feb 2018 – Dec 2019

Philip Morris International (PMI) is a leading international tobacco company engaged in the manufacture and sale of cigarettes, smoke-free products and associated electronic devices and accessories, and other nicotine-containing products in markets outside the U.S.

Responsibilities:

•Designed and implemented automated server build management, monitoring, and deployment solutions across multiple platforms and tools, including Amazon EC2, Jenkins Nodes/Agent, and SSH

•Deployed and managed applications on AWS stack, including S3, RDS, EC2, Route53, and IAM

•Worked with Agile/Scrum practices and CI/CD pipelines using Jenkins for continuous integration.

•Deployed AWS resources using AWS CloudFormation and Terraform.

•Migrated Jira from various other tool sets, including ServiceNow, and collaborated on problem resolution, team decisions, and project planning.

•Supported multiple projects, including managing users, project roles, time tracking, security, and plug-ins.

•Demonstrated in-depth knowledge of Agile/Scrum and Waterfall methodologies, Use Cases, and Software Development Life Cycle (SDLC) processes.

•Provided recommendations to end-users and leaders about best practices and standardization and implementing and leveraging processes within the Jira platform.

•Integrated automated build with deployment pipeline and installed Ansible to deploy builds from Jenkins builds to target environments (Integration, QA, and Production)

•Provided technical expertise for analysis and assessment of security vulnerabilities and threats including using AWS Inspector.

•Defined AWS Security Groups to control traffic reaching AWS EC2 instances.

•Utilized DevOps practices with AWS, Elastic Beanstalk, Docker, and Kubernetes

•Integrated SonarQube with Jenkins for continuous code quality inspection and performed functional testing using Java, JUnit, and Cucumber frameworks.

•Upgraded, migrated, and integrated Jira with Atlassian applications and other toolsets such as Git, Artifactory, and Jenkins

•Assisted in assessing existing production systems and configuration services for upgrading.

•Improved speed, efficiency, and scalability of the continuous integration environment by automating functions wherever possible using Python and Bash Scripts

Cloud/DevOps Engineer

Advanced World Solutions, Inc. (AWS) Sep 2016 – Jan 2018

Advanced World Systems / Advanced World Solutions is a strategic partner to several multinational companies in Japan, U.S.A, China, and other parts of Asia over the last 25 years. AWS, Inc is considered the most successful Philippine-based offshore IT Outsourcing provider to Japanese technology companies.

Responsibilities:

•Provided technical expertise to analyze and assess the current security and database configuration services and made recommendations for improvements.

•Implemented AWS Security Groups to act as virtual firewalls controlling traffic to AWS EC2 instances.

•Deployed applications utilizing the full AWS stack, including EC2, Route53, S3, RDS, and IAM, and configured AWS ELB with auto-scaling based on user traffic.

•Designed and implemented fully automated server build management, monitoring, and deployment solutions, utilizing a range of platforms, tools, and technologies, such as Amazon EC2, Jenkins Nodes/Agent, and SSH

•Deployed builds using Ansible and clients to target environments (Integration, QA, and Production) after picking them up from Jenkins' builds.

•Automated infrastructure activities using Ansible playbooks and CI tools like Jenkins for Continuous Deployment, Application Server setup, and Stack Monitoring

•Created automation and deployment templates for both relational/SQL and NoSQL databases.

•Applied Business Process Flow, Business Process Modeling, Business Analysis, and multiple testing methodologies.

AWS Engineer

Olin Corporation, Houston, Texas. May 2013- Aug 2016

Olin Corporation is an American manufacturer of ammunition, chlorine, and sodium hydroxide. The company traces its roots to two companies, both founded in 1892: Franklin W. Olin's Equitable Powder Company and the Mathieson Alkali Works.

Responsibilities:

•Configured and optimized AWS network infrastructure including VPC, internet and NAT gateways, subnets, security groups, NACLs, route tables, and VPC peering to ensure secure and efficient traffic flow.

•Developed and scheduled Jenkins pipelines with Cron jobs to automate build, test, and deploy processes.

•Designed and deployed a large, scalable application using the AWS stack (EC2, VPC, Route53, S3, RDS, DynamoDB, SNS, SQS, IAM) with a focus on high availability, fault tolerance, and auto-scaling using AWS CloudFormation

•Implemented and maintained elastic load balancers and auto scaling groups to provide high availability and fault tolerance for distributed traffic.

•Created Docker images from Docker files and utilized Docker and Docker-compose to build, test, and deploy applications in a containerized environment.

•Established fully automated CI/CD pipelines and processes for multiple projects, utilizing Ansible as a configuration management and deployment tool.

•Worked extensively with Docker components including Compose, Volume, Network, Hub, Images, and Swarm.

•Managed AWS infrastructure using Terraform and implemented IAM service to create roles, users, and groups.

•Managed physical and virtual Linux Servers on-premises and in EC2, deploying web applications on AWS S3 served through CloudFront and Route 53 using AWS CloudFormation Service and Certificate Manager

•Developed web applications and RESTful API services in Python with Flask, utilizing Application Load Balancer with Auto Scaling Group of EC2 Instances and RDS, AWS CloudFormation Service, MySQL, and Docker

•Utilized GitFlow as a workflow strategy and automated tasks using scripting knowledge in orchestrating test, build, release, and deploy phases through multiple pipelines.

•Created shell scripts for scheduling automated backups from a file system (mounted as a local mount point) to a local disk using Rsync and sent email upon completion.

EDUCATION

•Bachelor of Science in Computer Science from University of Philippines

CERTIFICATIONS

•The Data Science Course 2022: Complete Data Science Boot Camp (Udemy)

•AWS Certified Cloud Practitioner

•AWS Certified Solutions Architect

•CPA – C++ Certified Associate Programmer (C++ Institute)

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