Mike Beliakov

Platform serving 100,000+ daily active users with 100+ engineering team members, 100+ repositories and microservices, primarily on GCP in a multi-cloud environment.

• Eliminated 98% of false-positive incidents by engineering advanced alerting rules and signal correlation across Datadog and Prometheus — turning noisy pagers into actionable signals.

• Replaced Crossplane’s Datadog integration with the Datadog Operator, eliminating a fragile custom abstraction layer and establishing a first-class, vendor-supported observability control plane.

• Hardened platform security through multiple targeted Cloudflare WAF rule adjustments, reducing attack surface exposure and improving traffic routing precision.

• Pioneered a self-service Resources Registry for humans and AI agents, establishing the foundation for a unified, queryable catalog of infrastructure resources.

• Replaced Atlantis with Digger for Terraform PR automation, resolving persistent lock contention and plan reliability issues that had been a recurring source of team friction.

• Simplified and consolidated GitHub Actions workflows, cutting pipeline maintenance overhead by 60% and accelerating developer feedback loops.

Building advanced AI-driven solutions and cloud-native microservices on GCP, leveraging modern AI frameworks and tools for end-to-end development and deployment.

• Designed and implemented production-grade microservices architecture in Python and TypeScript, integrating state-of-the-art AI models (LLMs, embeddings, RAG pipelines) for intelligent automation and data processing.

• Deployed scalable, serverless and containerized workloads on GCP (Cloud Run, GKE Autopilot, Vertex AI), achieving cost-efficient auto-scaling and near-zero maintenance overhead.

• Automated full development lifecycle with GitHub Actions, Terraform, and GCP-native services, enabling rapid iteration and one-click deployments.

• Optimized inference pipelines for performance and cost, reducing latency by 60%+ and token expenses through prompt engineering, caching, and model quantization techniques.

• Developed custom AI agents and tools combining multiple modalities (text, vision, structured data), delivering high-accuracy solutions for complex real-world use cases.

Gaming industry platform with 100,000+ daily active users in specialized subdivision (engineering team <10 members); company-wide engineering team of 100+ across AWS and GCP environments.

• Optimized GCP infrastructure to achieve 99.99% uptime and reduced release cycles by 86% through comprehensive CI/CD modernization.

• Automated infrastructure provisioning with Terraform, Packer, and Ansible; implemented GitOps deployments via ArgoCD.

• Designed, deployed, and maintained fully self-hosted observability stack (Prometheus, Grafana, Datadog) from scratch, handling full lifecycle and reducing third-party dependency costs by 40%.

• Centralized developer workflows with self-hosted Backstage portal, cutting onboarding time by 70% and improving cross-team visibility.

• Led incident response processes, reducing mean-time-to-resolution (MTTR) by 75%.

• Executed zero-downtime hot migrations of MySQL (from 5.6 to 8.4, addressing replication and compatibility challenges) and PostgreSQL across cloud providers.

Small team of ~20 engineers focused on complex, high-impact projects with emphasis on system design and DevOps practices.

• Architected scalable microservices on GKE and Minikube, achieving 30% downtime reduction through self-healing and auto-scaling mechanisms.

• Defined service boundaries and infrastructure standards using Terraform and Helm to ensure consistent, maintainable deployments.

• Enhanced Ruby on Rails performance (20% faster response times), enabled zero-downtime deployments via Jenkins and GitLab CI/CD, and sustained 99.9% uptime with Prometheus/Grafana monitoring.

• Established DevOps culture and processes; built and led engineering team while delivering a globally distributed mission-critical system from inception.

Engineering team of ~40 across multiple concurrent projects in a fast-paced development environment.

• Designed and developed a high-performance cryptocurrency exchange platform using Node.js (Koa) microservices architecture with rigorous TDD/BDD practices (Jest), achieving 99%+ test coverage.

• Containerized applications and orchestrated CI/CD pipelines on AWS with Docker and Drone, enabling frequent deployments with zero downtime.

• Reduced legacy code complexity by 25% through modularization, service decomposition, and elimination of redundant external library dependencies, enhancing maintainability and reusability across projects.

• Optimized CI/CD scripts and processes, reducing average pipeline execution time by 75% (4x speedup).

• Extracted critical user data handling into a dedicated compliant module to ensure full GDPR adherence, minimizing regulatory risk while supporting secure scalable operations.

Revitalized a monolithic Ruby on Rails app while leading and mentoring a team of six engineers, driving best practices and fostering a culture of technical excellence.

• Spearheaded the adoption of TDD/BDD and led the migration from Rails 3.x to 5 for improved performance and maintainability.

• Eliminated 15+ critical security vulnerabilities, cut memory usage by 20%, and slashed test suite runtime by 60% through parallelization.

• Overhauled a 20,000-test suite for stability, optimized Jenkins CI to reduce build times by 40%, and containerized the dev environment with Docker, reducing developer onboarding time by 90%.

• Transformed complex legacy code into high-performance, reusable modules while driving scalable, client-focused architectural improvements.

Engineering team of ~30 developing and operating a large-scale video streaming service with proprietary CDN infrastructure managing 300+ servers.

• Architected high-performance microservices platform for seamless video streaming at scale, supporting peak concurrent viewers with sub-second latency.

• Modernized deployment pipeline by replacing Capistrano with GitLab CI/CD, Docker, and Rancher, reducing deployment downtime by 90% and enabling zero-downtime releases.

• Increased automated test coverage to 95%+ with RSpec, eliminating critical production defects and enforcing code quality through automated linting and style checks.

• Optimized Chef recipes for consistent multi-environment configuration management and built custom CLI tools (Bash, ZSH, SSH) that reduced manual operational tasks by 80%, significantly boosting team efficiency.

• Owned full lifecycle of proprietary CDN components, ensuring reliable content delivery and rapid incident recovery across global infrastructure.

Engineering team of ~25 focused on delivering custom Ruby-based enterprise solutions for clients.

• Designed and developed production-grade Ruby applications (Sinatra and Rails) with rigorous TDD/BDD practices, consistently achieving 98%+ test coverage.

• Architected and launched a complex CRM system from scratch featuring 100+ models and extensive business logic, attaining a 97+ RubyCritic code quality score.

• Reduced technical debt in legacy components by 30% through refactoring, modular design, and elimination of redundant dependencies, improving long-term maintainability.

• Automated deployment pipelines with Capistrano on PaaS platforms (Heroku and Locum), enabling one-click seamless deliveries and reducing release time by 70%.

• Collaborated closely with clients to translate intricate requirements into scalable, high-performance solutions, ensuring on-time delivery and high client satisfaction.