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Kazuki Odo

Staff Software Engineer·AI Infrastructure

Turing, Inc.Tokyo Area, Japan13+ years

I turn complex technical challenges into scalable, business-aligned platforms. Full-stack, SRE/DRE, DevOps, and ML platform engineering across multi-cloud (AWS, GCP, Azure) and on-prem — from design to large-scale production.

About

I'm a software engineer specializing in AI infrastructure — GPU clusters and ML platforms. At Turing, I joined the MLOps team in October 2025 and moved to the infrastructure team in July 2026. Our small team builds and operates 1,000+ GPUs of Slurm-based training infrastructure across on-prem, a domestic GPU cloud, AWS, and Google Cloud for fully autonomous driving development.

Before Turing, I worked across SRE at Splunk (Cisco), ML platform engineering at Preferred Networks on MATLANTIS, customer engineering at Google Cloud, and backend / SRE / security engineering at Recruit and NTT Communications.

Experience

  1. Oct 2025 — PresentTokyo

    Staff Software Engineer

    Turing, Inc.

    1. Infrastructure teamJul 2026 — Present

      • ▸Build and operate Slurm-based GPU training clusters — 1,000+ GPUs across on-prem, a domestic GPU cloud, AWS, and Google Cloud — with a small infrastructure team supporting fully autonomous driving development.
      • ▸Extend IaC and CI/CD (Terraform, Terragrunt, GitHub Actions) from the clouds to existing environments, splitting node configuration across boot images (Packer), startup scripts, and Ansible, and rolling out changes by draining nodes first to limit impact on training jobs.
      • ▸Worked with AWS to isolate FSx for Lustre I/O stalls on SageMaker HyperPod and cut over to a rebuilt cluster on custom AMIs; completed a blue-green migration of the Google Cloud cluster's Managed Lustre to a larger instance.
      • ▸Make room for improvement work with observability as code (Datadog), runbooks built from incident records, and AI-assisted first-pass investigation — while operators still assess impact on shared infrastructure and decide what to adopt.
      • ▸Share platform knowledge through user guides written for both people and AI agents, and internal infrastructure study sessions.
    2. MLOps teamOct 2025 — Jun 2026

      • ▸Built and operated cloud GPU clusters for autonomous-driving model training: a SageMaker HyperPod + Slurm + FSx for Lustre cluster on AWS (AWS CDK, Terraform), and a 240-GPU (NVIDIA H200) Slurm cluster on Google Cloud stood up in two weeks (Cluster Toolkit, Terraform / Terragrunt, Packer, Ansible).
      • ▸Designed and developed a dataset-management system for large-scale training data, automating dataset download and cleanup on cluster storage.
      • ▸Built the initial prototype for streaming video training data directly from S3 — parallel-fetch benchmarks and the initial pipeline design — before moving to the infrastructure team; other MLOps engineers completed the system and published it on the Turing Tech Blog.
      • ▸Automated detection and replacement of failed nodes on SageMaker HyperPod.
  2. Jun 2024 — Sep 2025Tokyo

    Senior Site Reliability Engineer

    Splunk (Cisco)

    • ▸Maintained and improved Splunk Cloud infrastructure across AWS, GCP, and Azure.
    • ▸Designed the Professional Services delivery menu for provisioning ISMAP-compliant Splunk Cloud instances (Japanese government cloud security program).
    • ▸Automated operational workflows and improved system reliability while concurrently serving on the Fulfillment Engineering team.
    • ▸Supported customer environments and collaborated with account teams, solution engineers, Professional Services, and Technical Support.
    • ▸Contributed to incident response and operational excellence across APAC.
  3. Apr 2023 — May 2024Tokyo

    Senior Software Engineer

    Preferred Networks

    • ▸Developed MATLANTIS, an enterprise-scale atomic-level simulation platform.
    • ▸Led multi-GPU, multi-cloud workloads on Kubernetes multi-cluster.
    • ▸Built infrastructure and tooling using Terraform, Kubernetes, and Bazel.
    • ▸Delivered backend systems and data pipelines supporting product and business use cases.
  4. Jun 2021 — Mar 2023Tokyo

    Customer Engineer — Google Cloud (Gaming, Media & Entertainment)

    Google Cloud Japan

    • ▸Advised enterprise customers on cloud architecture, migration, and modernization.
    • ▸Designed and prototyped solutions using GCP across application and ML domains.
    • ▸Resolved 200+ technical issues across customer engagements.
    • ▸Led technical strategy for customer transformation and platform adoption.
  5. Oct 2017 — May 2021Tokyo

    Security / Software / Site Reliability Engineer

    Recruit

    • ▸Built and operated backend systems for large-scale services using Spring Boot and cloud infrastructure.
    • ▸Led migration from private cloud (VMware) to AWS-based cloud-native architecture, improving scalability and operational efficiency.
    • ▸Improved system reliability through monitoring, performance tuning, and operational enhancements.
    • ▸Analyzed logs and developed detection systems for account takeover and fraudulent behavior using Splunk.
    • ▸Led cloud adoption strategy across AWS and GCP, focusing on security architecture and enterprise-scale rollout.
  6. Apr 2013 — Sep 2017Tokyo

    Network & Security Research Engineer

    NTT Communications (NTT DOCOMO BUSINESS)

    • ▸Contributed to network security and traffic-control platforms, including work reflected in public patents and publications.
    • ▸Designed and built two internal on-premises platforms from scratch: a VMware-based IaaS and a Kubernetes-based container platform — both adopted as long-running production infrastructure.
    • ▸Developed DDoS protection and traffic control systems.
    • ▸Researched network security technologies including BGP Flowspec.
    • ▸Built distributed systems for traffic analysis and monitoring.

Skills

Languages

  • Python
  • Go
  • Java
  • TypeScript
  • JavaScript
  • SQL
  • PHP

Cloud & Infra

  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Docker
  • Terraform
  • Terragrunt
  • Packer
  • CDK
  • Ansible

Platform

  • REST
  • gRPC
  • FastAPI
  • Spring Boot
  • NestJS
  • Gin
  • Flask
  • Django

Data

  • BigQuery
  • Cloud Spanner
  • PostgreSQL
  • Aurora
  • Redis
  • Elasticsearch

ML

  • Slurm
  • SageMaker HyperPod
  • Cluster Toolkit
  • Lustre
  • Vertex AI
  • Databricks
  • TensorFlow
  • Dataflow

Networking

  • BGP
  • BGP Flowspec
  • OSPF
  • IPv6
  • IPSec
  • NetFlow / sFlow

Observability

  • Splunk
  • Datadog
  • New Relic
  • Prometheus
  • Grafana
  • Loki
  • Fluentd

Practices

  • SRE
  • Platform Engineering
  • DevOps
  • Incident Response
  • AI-assisted Operations
  • Agile
  • Stakeholder Collaboration

Side Projects

Selected side projects done alongside my full-time roles.

2023 — PresentTechnical Advisor

Technical Advisor — E-commerce Platform for trading card game

Advising startups on architecture and engineering strategy. Designed and built an e-commerce platform using NestJS, AWS, and PostgreSQL.

  • NestJS
  • AWS
  • PostgreSQL
  • Architecture
Aug 2020 — Oct 2021FullStack Engineer

Backend Services — Real Estate Tech

Built backend services for a new product at a real estate tech company. Go (Gin) and Python (FastAPI) on GCP — GKE, Cloud Run, Cloud SQL, Cloud Functions.

  • Go
  • Gin
  • Python
  • FastAPI
  • GCP
  • GKE
  • Cloud Run
  • Cloud SQL
  • Cloud Functions
2020FullStack Engineer

Healthcare Prototype Platform

Designed and built an early-stage prototype for a healthcare-related workflow, including mobile and backend components.

  • React Native
  • TypeScript
  • GraphQL
  • AWS
  • Firebase
  • Terraform
2019ML Engineer / Data Analyst

Marketing Data Analysis

Performed exploratory data analysis for a life-science marketing use case.

  • Python
  • Jupyter
  • Pandas
  • Matplotlib
  • scikit-learn

Open Source

Selected OSS contributions.

Writing & Talks

Conference talks, articles, blog posts, customer stories, papers, and patents.

Education & Certifications

Education

Tokyo University of ScienceB.E. Information TechnologyApr 2009 — Mar 2013Researched method of Automatic Composition using Interactive Genetic AlgorithmBachelor's thesis — implemented the algorithm and the full system from scratch.

Certifications

  • ·TOEIC IP 865 / 990 (Issued Oct 2024)
  • ·Splunk Core Certified Consultant (expires Feb 2028)
  • ·Splunk Enterprise Certified Architect (expires Aug 2027)
  • ·Information Security Specialist (IPA Japan) (Issued Oct 2014)
  • ·Google Cloud Certified Professional Cloud Developer (expired Nov 2023)

Contact

Open to conversations about ML platforms, Infrastructure, SRE and Software development.

LinkedIn preferred for first contact.