Release operations and developer experience across 100+ engineers, multiple teams, and cross-project programs at JetBrains.

Operating focus: predictable delivery, CI/CD stability, deploy velocity, and release train cadence—in distributed, multi-team environments.

End-to-end ownership from CI/CD pipelines and AWS build infrastructure through cross-team, cross-project release coordination.

Build infrastructure, observability, security, and quality gates across the delivery lifecycle.

Current exploration: AI-native developer workflows, engineering systems for AI coding agents, and scalable developer infrastructure—without overclaiming shipped AI product work.

Experience

Software Engineer

Sep 2020 - Present

JetBrains · Amsterdam, NL

Release operations & developer experience

Release operations and developer experience—end-to-end ownership across CI/CD, build infrastructure, and delivery for 100+ engineers, multiple teams, and cross-project programs.

  • Cross-team & cross-project delivery — coordination across 100+ engineers, multiple teams, and overlapping product lines
  • Developer productivity — redicung developer workflows friction through tooling, workflows and build infrastructure
  • Release ownership & developer workflows in distributed, multi-team environments
  • CI/CD stability — pipeline success with production-safe delivery
  • Deploy velocity — time-to-deploy as a primary lever
  • Release train cadence — predictable scheduling without the long delays the program used to carry
  • Build infrastructure — AWS agents, scalability, security, and observability
  • Release sequencing, dependencies, and delivery clarity across team and project boundaries
  • CI/CD
  • Release Coordination
  • Developer Experience
  • Cross-project Delivery
  • AWS Build Agents
  • Security
  • Observability
  • Delivery Workflows
  • Gradle
  • Kotlin
  • Containerization

SDET — Kotlin Language Specification

Nov 2019 - Nov 2020

JetBrains

Test engineer for the Kotlin language specification, responsible for developing spec-compliant test suites, improving tooling for the validation cycle, and clarifying CI feedback in situations where failures often indicated specification ambiguities. Contributed to the language specification content and to kotlinlang.org/spec.

  • Kotlin Language Specification
  • Test Suites
  • CI/CD
  • Developer Tooling
  • Technical Documentation

SDET

Nov 2017 - Nov 2019

Luxoft

Career start in automotive test engineering on UDS (ISO 14229): built a diagnostics test-suite generator and, when the library plateaued, a human-readable verification compiler—plus UDS-driven test-stand hardware for Valeo (Daimler, Audi, Peugeot programs). Suite generation shortened test authoring from weeks-scale manual work to a much faster loop. Foundational training in platforms, levers, and multi-stakeholder delivery that still shapes release and DevEx work today.

  • UDS (ISO 14229)
  • Test Automation Framework
  • ANTLR4
  • Domain-Specific Compiler
  • Test Stand Hardware

Education

Bachelor's degree, Fundamental Informatics and Information Technologies

2019

Peter the Great St.Petersburg Polytechnic University

Dutch — A1 (CEFR)

May 2022 - Sep 2022

UvA Talen, Universiteit van Amsterdam

Dutch — A2 (CEFR)

Jan 2023 - May 2023

UvA Talen, Universiteit van Amsterdam

Dutch — B1 (CEFR)

Jun 2023 - Jun 2024

UvA Talen, Universiteit van Amsterdam

Skills

CI/CD & Release Systems

  • TeamCity
  • Git
  • CI/CD
  • Release Engineering

Cloud & Platform

  • AWS
  • Linux
  • Docker

Languages & Tooling

  • Kotlin
  • Python
  • Jira
  • ANTLR4

Operating focus

  • Developer Experience
  • Pipeline Reliability
  • Cross-team Coordination
  • Cross-project Delivery
  • Observability
  • Security
  • Automation Testing
  • Developer Tooling

Engineering Management

  • Process Design & Improvement
  • Cross-team Process Coordination
  • Cross-project Program Coordination
  • Release Train Coordination
  • Dependency & Sequencing Management
  • Delivery Workflow Standardization
  • Operational Cadence
  • Stakeholder Coordination

Current exploration

  • AI-Native Developer Workflows
  • Engineering Systems for AI Coding Agents
  • Scalable Developer Infrastructure

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