Hello, World.

Mike Kravchenko

DevOps/Infrastructure Site reliability Data Engineering and AI

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About

Let me introduce myself.

Mike Kravchenko in a live sports broadcast operations centre

Experience at intersection of cloud platforms, reliability, security and MLOps.
Core: 8 years of Enterprise Experience
Kubernetes | Terraform | AWS/GCP

Profile

Open to SRE, DevOps and Platform roles in Canada and the U.S. Canadian citizen, TN-eligible (USMCA), no sponsorship needed, self-relocating.

8+years of enterprise production experience
1Mpeople watching live at once on my platform
~800cloud servers I scale to at peak traffic

Skills

  • Daily driver
    AWS, GCP
  • Daily driver
    Terraform, Argo CD
  • Production-tested
    Kubernetes, Docker
  • Production-tested
    Observability, OpenTelemetry
  • Hands-on
    DevSecOps, SOC 2
  • Hands-on
    MLOps
  • Fluent
    Python, Bash, Go
Portfolio

What have I been up to lately?

Look here for a collection of my latests projects, exercises, articles, and more.

Resume

More of my credentials.

Open to SRE, DevOps and Platform roles in Toronto and the U.S. Please don't hesitate to contact me.

Work Experience

Sportsnet logoDeltatre logo

Site Reliability Engineer

April 2026 - Present

Rogers Sportsnet | Deltatre

- live sports streaming OTT platform

● Supported FIFA World Cup 2026, NHL and MLB live streaming for up to 1M concurrent viewers, peaking at ~800 compute nodes on Kubernetes (EKS), AWS Fargate and EC2 (500+ vCPU, 1+ TB RAM)
● Implementing an AI-assisted SRE layer: LLM agents with RAG over Datadog telemetry and incident history that forecast game-day traffic spikes and recommend scaling or CDN failover ahead of time
● Owned Terraform IaC and GitHub Actions CI/CD, integrated with Flux GitOps on Kubernetes
● Ran business-continuity (BCP) failovers: live traffic switch between AWS regions and CDNs
● On-call incident response and RCA (Datadog, CloudWatch): ALB connection storms, Redis saturation
● Event-tier scaling, capacity planning and cost control

Autodesk logo

DevOps Cloud Engineer

June 2021 - November 2025

Autodesk

● Led post-acquisition migration of Upchain software and integrations into the Autodesk ecosystem
● Supported Autodesk Upchain cloud PLM integrated with AutoCAD, Fusion 360 and SOLIDWORKS
● Shipped LLM-based and agentic systems for Autodesk's AI-powered PLM: RAG pipelines over Upchain data, model serving and evaluation on Kubernetes and AWS, multi-agent workflows
● Multi-platform CI/CD for CAD integrations: cross-compilation, toolchain config, arch-specific optimization
● Migrated company products from Monolith and Docker Compose to Kubernetes
● Owned cloud/on-prem DevOps lifecycle: weekly deploys, monitoring, security, backups, PagerDuty on-call

Upchain logo

DevOps

January 2021 - June 2021

Upchain

- acquired by Autodesk

Pornhub logo

Site Reliability Engineer

October 2022 - March 2023

MindGeek-Aylo(Pornhub)

● Fine-tune system performance, scalability planning and cost reduction
● Set up infrastructure and configuration management for bare-metal and cloud via Terraform
● Deploy and operate multi-node ELK stack: Elasticsearch, Logstash, Kibana & Beats
● Integrated AI into GitOps pipelines and observability: LLM-based log and monitoring summarization
● Monitoring and incident response for dev and production issues, emergency system recovery

GBatteries logo

Data Engineering Developer

August 2020 - January 2021

GBatteries

● Build infrastructure for ML and data engineering needs: data storage, models and architecture
● Provide scalable ETL pipelines for AI model training and schedule them with Airflow
● Collaborate with ML/AI team to streamline model training, validation and experiments
● Facilitate collaboration between data scientists, software and mechanical engineers

Sightline Innovation logo

Infrastructure Engineer

October 2019 - July 2020

Sightline Innovation

● Ran in production on k8s: Postgres, MySQL, MongoDB, Spark, PrestoDB, Kubeflow, Jenkins, NextCloud
● Migrated products from Docker Compose to Kubernetes, running on-prem clusters, GCP and AWS
● Standardized releases of the company's machine learning platform microservices with Helm charts and CI/CD: faster deployments, versioned rollouts, per-environment configs and one-step rollbacks
● Setting up k8s clusters on bare-metal servers for Data Science team with GPU/CUDA and MinIO support
● Developing security and authorization mechanisms for internal services

Software Developer Intern

August 2019 - November 2019

Enghouse

● Development and deployment of Chatbots and Voicebots on-premise and to IBM Cloud Kubernetes Service in collaboration with IBM Data science team
● Creating interactive machine learning dashboards and deploying them as web applications

Software Developer

December 2018 - March 2019

Jayne's Cottages, Internship

● Data integration of financial systems used by this company: QuickBooks for accounting, ADP for payroll, Bambora for credit card processing
● Data Analytics and Data Management

Education

Postgraduate

September 2018 - April 2019

Big Data Analytics

Full-time Ontario College Graduate Certificate program at
Georgian college

● Programming languages: Python, Bash, SQL
● Databases: MySQL, Postgres, MongoDB, IBM Db2
● Big Data systems: Hadoop, Spark
● Web, API's and Social Media Data Mining Techniques
● Cloud services: Azure, AWS, IBM
● Data visualization tools: Tableau, Power BI
● Statistic and Prediction Models for Data Analytics

Master Degree

September 2016 - February 2018

Geodesy and Geographic Information Systems

Odessa State Academy of Civil Engineering and Architecture

Bachelor Degree

September 2012 - July 2016

Geodesy, Cartography and Land Management

Odessa State Academy of Civil Engineering and Architecture

Awards and volunteering

March 30, 2019

aiHACK - 3rd Place

creating a demo of image recognition application (photo)

March 15, 2019

FIRST Robotics competition at Georgian College

volunteering as an event instructor

November 30, 2018

Big Data Insights Conference

volunteering as assistant coordinator

Services

What Can I Do For You?

Experienced in development and DevOps.
Let me take some of the work off of your hands and help you focus on what matters most to you.

7

Courses Completed

500

Articles Read

20

Podcasts Heard

800

Crazy Ideas

1500

Coffee Cups

3600

Hours
Where to find me

Toronto, Canada

Email Me At
kravchenko.soft@gmail.com

(kravchenko.soft@gmail.com)

Call Me At

Phone: +1 437 239 7174