Nurlan Mirovich

Software Development / Engineering in Test / DevOps

Nurlan
Mirovich

Software Development Engineer in Test

Building automation frameworks, AI-assisted engineering tools, and cloud-ready test infrastructure for faster software delivery.

I work at the intersection of software development, automation architecture, DevOps infrastructure, and applied AI. My focus is building frameworks and engineering systems that improve test creation, execution speed, reporting clarity, and developer feedback without exposing private business logic or sensitive implementation details.

Experience

Automation Framework Architecture

Framework Development / Software Engineering in Test

  • Designed modular automation systems for UI, API, mobile, integration, and end-to-end validation.
  • Built reusable libraries, shared resources, and clean execution patterns for engineering teams.
  • Reduced framework duplication through centralized keywords, utilities, and reporting conventions.

AI Integration for Engineering

Applied AI / Developer Productivity / Test Intelligence

  • Used AI-assisted workflows for scenario design, failure analysis, coverage discovery, and test selection.
  • Connected AI tooling to practical engineering signals including requirements, CI results, and reports.
  • Focused on increasing test-writing efficiency and improving visibility into system faults.

DevOps & Cloud Test Infrastructure

CI/CD / Docker / Kubernetes / Cloud Execution

  • Built CI/CD validation flows for pull requests, smoke tests, regression execution, artifacts, and release signals.
  • Worked with Dockerized execution, Kubernetes-based scaling, Linux systems, and cloud infrastructure.
  • Created feedback loops that help development teams understand risk earlier.

Education & Certifications

Computer Science & Business Foundation

Academic background across business administration, computer science, language study, and international learning environments.

DevOps & Systems Engineering

Certified training and hands-on infrastructure experience across Linux, automation, cloud systems, and delivery pipelines.

Generative AI for Software Developers

Applied AI learning focused on practical developer workflows, productivity, testing, and responsible engineering usage.

Python & Software Engineering

Continued skill development in Python, software engineering, automation systems, and technical problem solving.

Skills

Python Java JavaScript TypeScript Problem Solving Software Development Robot Framework Playwright Selenium Cypress Appium Cucumber Gherkin REST API GraphQL Docker Kubernetes GitHub Actions Jenkins GCP AWS Linux / Unix

Notable Impact

Framework Modernization

Built modular automation systems designed for reuse, maintainability, and faster execution.

AI-Assisted Testing Tools

Integrated AI concepts into test design, failure analysis, coverage visibility, and developer workflows.

Cloud-Based Execution

Used Docker, Kubernetes, and CI/CD patterns to support scalable automation execution.

Developer Feedback Loops

Improved reporting, artifacts, and notifications so teams can understand release risk sooner.

Contact Me

Reach Out for Opportunities

Let’s connect about SDET, software development, DevOps infrastructure, automation framework, and AI tooling opportunities.