Hi, Iβm a DevOps / SRE / Cloud Infrastructure Engineer with a systems-thinking mindset and hands-on experience managing infrastructure projects β from architecture and IaC to CI/CD and monitoring.
Tech stack: AWS / Terraform (+HCL) / Ansible / Kubernetes (with Helm and RBAC) / Docker / Prometheus / Grafana / CI/CD (GitHub Actions, Jenkins, ArgoCD) / Bash + Azure, GCP.
π§ My profile on GitHub: https://github.com/AlexandrNeverov
π My profile on LinkedIn: https://www.linkedin.com/in/alexneverov
What I do:
β Design and build cloud infrastructure β from scratch or based on existing systems: stable, scalable, transparent, and easy to maintain
β Develop CI/CD pipelines with validation, testing, deployment, and rollback: tailored to team requirements
β Implement monitoring and observability: metrics, alerts, logging, dashboards β to ensure stability and identify improvement points
β Configure secure access and management: RBAC, IAM, encryption, secret management
β Conduct infrastructure audits and refactoring: eliminate manual overhead, streamline processes, scale infrastructure for new demands
β Use all core tools of modern infrastructure, but always start from business goals, not from a toolbox
β Communicate effectively: align with team workflows, discuss solutions with stakeholders, and implement changes that work
βΈ»
πΌ 8+ years in IT, including 5+ years working on infrastructure projects and 3+ years in leadership positions β managing an IT department and federal-level digital services and working with projects in the field of gov-tech, ed-tech, enterprise services, startups, and many other areas.
π 10+ years in academia and research. Industry Ph.D., interdisciplinary (U.S.-recognized, regionally accredited), 50+ publications, experience teaching and leading research in top universities and international academic projects.
My academic focus: interdisciplinary studies in corporate process optimization and institutional factors of innovation and technological development.
𧩠Also, I hold bachelorβs and masterβs degrees in management, and a second masterβs in applied informatics. Completed 25+ professional programs and certifications in DevOps and IT, plus 10+ advanced programs in strategic and operational management. Graduate of SKOLKOVO Business School (#1 in Eastern Europe), and in 2024β2025 completed the Caltech program βDevOps Engineering: Cloud Infrastructure & Automation.β
βΈ»
π Based in Florida, USA (since 2022)
β Fully authorized to work (2023β2029, renewable), SSN, Green Card in progress
πΊπΈ English: B2 β confident in technical and professional communication
π¨βπ©βπ§βπ¦ Married, two children (U.S. citizens)
βΈ»
π§ GitHub: https://github.com/AlexandrNeverov
π Academic profile: https://neverov-science.com
| π Linkedin |
This project demonstrates a reusable DevOps pattern for provisioning and managing Kubernetes-based workloads in the cloud. The environment was deployed on AWS EC2 with persistent storage, RBAC-secured dashboard, and stateful multi-tier applications (MySQL and WordPress).
π― Scope:
β Provision EC2 infrastructure and configure network access
β Delivered Kubernetes cluster across multiple EC2 instances
β Deploy and expose Kubernetes Dashboard with RBAC policies
β Set up NFS server and persistent volumes
β Deploy MySQL and WordPress using secrets and config maps
This project implements a modular DevOps environment on AWS using Terraform. A secure EC2 instance was provisioned and configured with core tooling (Docker, Terraform, AWS CLI, kubectl) to deploy a containerized application. IAM roles and remote state via S3 ensured isolated, reusable setup.
π― Scope:
β Provision and configure EC2 for DevOps use
β Install Terraform, Docker, AWS CLI, and kubectl
β Assign IAM role and configure access policies
β Set up S3 backend for Terraform state
β Define infrastructure modules for compute and network
β Deploy and verify a containerized app
This project demonstrates a reusable deployment pattern for containerized web apps on AWS Fargate, using ECR and ALB β built fully via AWS CLI and Console, without automation tools or templates.
π― Scope:
β Build Docker image and push to ECR
β Configure ECS cluster, task definition, and Fargate service
β Route external traffic via ALB
β Confirm live application response
This project implements a DevSecOps pipeline that integrates security scanning into the CI/CD process for a Node.js application. It leverages AWS-native tools to perform static (SAST), software composition (SCA), and dynamic (DAST) analysis as part of an automated delivery pipeline.
π― Scope:
β Build and deploy a Node.js app with security scanning
β Integrate SAST and SCA tools for early vulnerability detection
β Run OWASP ZAP scans for runtime application testing
β Automate CI/CD using AWS CodePipeline and CodeBuild
π». Automated CI/CD Pipeline using AWS DevOps Stack (ECR + ECS + CodePipeline)
This project implements a production-grade CI/CD pipeline on AWS, deploying a Spring Boot application from GitHub to ECS using Fargate. It covers secure image storage in ECR, container orchestration, and GitHub-triggered delivery via native AWS DevOps tools.
π― Scope:
β Build and store Docker image in Amazon ECR
β Configure AWS CodeBuild for container builds
β Deploy to ECS with Fargate task definitions
β Automate delivery via CodePipeline triggered by GitHub
This project demonstrates a reusable observability setup using Prometheus and Grafana on AWS EC2. It focuses on collecting custom metrics from a Java-based API, configuring Prometheus manually, and building real-time dashboards with Grafana. The goal was to establish core monitoring infrastructure without relying on prebuilt containers or automation tools.
π― Scope:
β Provision EC2 node and configure Ubuntu system
β Install and configure Prometheus with custom scrape targets
β Connect a Java-based API service exposing metrics
β Install Grafana and create a custom dashboard
π». Multi-Tier Microservice Deployment with Docker Swarm on AWS EC2
π― Scope:
β Provision EC2 host and configure Docker Swarm
β Build and run Nginx, Node.js, and Redis containers
β Structure services with Compose and Swarm stacks
β Validate service access, routing, and communication
This project demonstrates a reusable DevOps pattern I apply in real practice. It involves orchestrating containerized microservices on AWS EC2 using Docker Swarm and Ansible. The infrastructure was structured to reflect production-grade modularity, secure configuration, and repeatable service deployment β aligned with modern cloud-native practices.
π― Scope:
β Provision a multi-node Swarm cluster on AWS
β Deploy Nginx, Node.js, and Redis containers
β Inject secrets using Swarm-native mechanisms
β Use Ansible roles for modular orchestration
π». Automated Infrastructure Provisioning with Terraform and Ansible
This project demonstrates a reusable DevOps pattern I apply in real practice. I used Terraform to provision a modular AWS infrastructure and orchestrated application setup via Ansible. Emphasis was placed on secure access, repeatable deployments, and modular design. This reflects the kind of foundational automation I apply when building cloud environments from scratch.
π― Scope:
β Provision modular AWS infrastructure using Terraform
β Secure SSH access via custom key management
β Use Terraform remote state and input variables
β Automate software installation using Ansible playbooks
π». Cloud-Native Web App Delivery with Ansible and Jinja2 Templates
This project demonstrates a reusable DevOps pattern I apply in real practice. I deployed and managed the entire setup on my own AWS Ubuntu instances using Ansible. The goal was to automate the provisioning of a web server (Nginx) using infrastructure-as-code principles β including secure access, templated configuration (Jinja2), and repeatable deployment. This reflects real-world infrastructure delivery tasks with hands-on ownership.
π― Scope:
β Automate Nginx installation and configuration
β Use Ansible playbooks for provisioning on EC2
β Apply Jinja2 templates for environment-specific configs
β Ensure reusability and repeatability of setup logic
This project demonstrates a complete DevOps pipeline I built and managed end-to-end on my own infrastructure. It automates the software delivery lifecycle from GitHub commits to live deployment using a hybrid CI/CD stack (GitHub Actions and Jenkins). The entire system runs on a self-hosted Ubuntu VM, with ngrok providing public webhook access to simulate real-world external triggers.
π― Scope:
β Deploy and configure a full-stack CI/CD environment (Ubuntu VM)
β Automate the build process with GitHub Actions and Maven
β Use Jenkins as the orchestrator for deployment and artifact delivery
β Deliver a zero-touch pipeline from code commit to Tomcat deployment
Freelance
2023βpresent
SocTech (IT Company)
2021β2022
MADI University
2020β2021
RUDN University
2017β2021
2007β2021
I served as Associate Professor and Lead Researcher at internationally recognized universities and research institutes, with a strong focus on interdisciplinary collaboration
or
My site about my work in academia: neverov-science.com
(https://neverov-science.com)
2024β2025
Caltech (CTME)
2010β2013
RUDN University
2005β2011
MADI University
2015β2025
Professional Certifications and Postgraduate Programs
