Maksym Shaposhnikov

Senior DevOps / Platform & Data Engineer (AWS, Azure) • Automation • Cost Optimization • Observability • CI/CD

Kyiv, Ukraine • English: Upper-Intermediate (B2+) • Email: available upon request

  • Telegram: https://t.me/shaposhnikoff
  • GitHub: https://gist.github.com/shaposhnikoff
  • LinkedIn: https://www.linkedin.com/in/shaposhnikovmaksym/

Professional Summary

Senior DevOps/Platform & Data Engineer with 20+ years of experience designing and operating cloud infrastructure and data-adjacent platforms across AWS and Azure. Strong focus on Python-driven automation, Infrastructure as Code (Terraform/Ansible), CI/CD standardization, cost governance, and observability (Prometheus/Grafana). Delivered measurable improvements in cloud spend, delivery lead time, and incident triage by automating lifecycle management and reducing manual operational overhead.
LLM/AI tooling experience used for engineering productivity (documentation, validation, migration assistance) with security-minded handling (sanitized inputs, no secrets in prompts, audit-friendly outputs).

Key Skills

  • Cloud: AWS (EC2, S3, RDS, IAM, EMR, Glue, Cost Explorer), Azure (Compute, Networking, PostgreSQL Flexible Server, Key Vault)
  • IaC & Automation: Terraform, Terragrunt, Ansible, Python, Bash
  • Containers & GitOps: Docker, Kubernetes, Helm, Argo CD, OCI registries (Harbor/JFrog)
  • CI/CD: GitLab CI/CD, GitHub Actions, Jenkins, Tekton
  • Observability & Security: Prometheus, Alertmanager, Grafana, ELK, Dynatrace, Trivy, policy checks (e.g., IaC scanning)
  • Data Platforms: Databricks, Airflow, Snowflake; ETL/ELT concepts, data quality validation patterns
  • Engineering Practices: secure CI/CD, blue-green/rolling deploys, incident response, runbooks, testing (Pytest), API validation frameworks

Professional Experience

SoftServe — Senior DevOps Engineer

Jan 2023 – Present

Cost & Platform Automation - Built automated resource hibernation/scheduling for non-production workloads (state management + safety checks), reducing idle cloud spend by ~20% (baseline/period available upon request). - Standardized and hardened IaC workflows (Terraform/Ansible), improving repeatability and reducing drift across multi-subscription/multi-account environments.

CI/CD & Delivery Acceleration - Led GitLab → GitHub Actions migration with reusable workflows and policy gates; improved delivery lead time by ~40% and reduced manual pipeline maintenance overhead (baseline/period available upon request). - Implemented migration tooling and conventions to reduce per-repo onboarding time and ensure consistency.

Observability & Incident Response - Improved incident triage via Prometheus/Grafana dashboarding and alert signal correlation; reduced MTTR by ~35% (baseline/period available upon request).

Data & Governance - Designed and implemented cross-cloud storage governance reporting (inventory + posture signals + normalized schema), producing stakeholder-ready CSV/tabular outputs used for remediation planning and cost/governance decisions.

Realized Engineering Projects - AI-assisted GitLab CI → GitHub Actions converter (Anthropic Claude): converts .gitlab-ci.yml into .github/workflows/*.yml, generates conversion notes (mappings, assumptions, gaps), supports repository auto-discovery; credential handling via environment variables. - kvpass: CLI password manager backed by Azure Key Vault, providing a "pass-like" workflow with centralized governance and access control.

Tech Stack: Python (Pandas, SQLAlchemy, Jinja2), Terraform, Ansible, AWS, Azure, GitHub Actions, GitLab CI, Jenkins, Tekton, Prometheus, Grafana, Databricks, Airflow, Snowflake, Pytest

Zoolatec — Senior DevOps Engineer

Dec 2020 – Jan 2023

  • Scaled data operations on AWS using EMR/Glue; improved IAM structure and operational reliability for data workloads.
  • Built multi-account infrastructure with Terragrunt, enabling consistent environment provisioning and reducing manual setup.
  • Implemented GitOps practices with Kubernetes/Helm/Argo CD for workload management and safer deployments.
  • Automated migration/import from ClickOps into IaC to reduce drift and increase auditability.
  • Expanded monitoring and logging with Prometheus/Grafana and ELK to improve visibility and alerting quality.

Grid Dynamics — Senior DevOps Engineer

Dec 2017 – Dec 2020

  • Enterprise infrastructure operations and cloud migration support across multiple teams/projects.
  • CI/CD reliability improvements, IaC enablement, and operational automation (details available upon request).

EPAM Systems — Senior DevOps Engineer

Feb 2014 – Apr 2017

  • Infrastructure Automation & Migration: Designed and implemented AWS infrastructure provisioning pipelines using Terraform and Ansible, enabling repeatable environment builds across dev/staging/prod and reducing manual setup time from days to hours; migrated legacy on-premise workloads to AWS EC2/RDS with zero-downtime cutover strategies.
  • CI/CD Foundation & Operational Excellence: Established standardized CI/CD patterns using Jenkins and configuration management (Ansible), supporting 10+ delivery teams; implemented centralized monitoring (Nagios/CloudWatch) and automated backup/recovery procedures, improving system reliability and reducing incident response time by ~30%.

Selected Achievements

  • Reduced operational cloud spend by up to ~20% through automated lifecycle management and governance reporting.
  • Improved delivery lead time by ~40% via CI/CD migration and workflow standardization.
  • Reduced MTTR by ~35% through observability improvements and better triage workflows.
  • Delivered cross-cloud reporting that enabled unified governance decisions across AWS and Azure.

Personal Technical Interests

  • RF & Electronics: licensed radio amateur; digital communications experimentation.
  • Embedded/IoT: ESP32/Arduino, Home Assistant integrations, custom automation and telemetry collection.