18件のstack system engineerのおすすめの求人

Software Engineer– Dr.Zero (AI-Powered Decarbonization Platform)_CEO室
株式会社ゼロボード —港区
- ERPシステム
- Java
- Python
Senior Ground Platform Engineer (Senior SRE)
Synspective —江東区
- 一部在宅
- Azure
- DevOps経験
- メンテナンス
クイック応募
R&D-026 Robotics Engineer
AI Robot Association —大田区平和島
- 博士号
- 修士号
- C++
クイック応募
Senior Machine Learning Engineer/Engineering Dept.
サグリ株式会社 —新宿区
- AWS
- 機械学習
- 経理・会計
Robotics Software Engineer - Navigation
Rapyuta Robotics —江東区
- 修士号
- 大卒
- ソフトウェア開発
クイック応募
【JAPAN AI】Research Engineer, LLM/Agent / English
株式会社ジーニー —新宿区
- 博士号
- 修士号
- AI
Senior Software Engineer, Platform API - Ruby on Rails
Treasure AI —港区麻布台
- 一部在宅
- Java
- SQL
- API
12日前
Senior Data Scientist
サグリ株式会社 —新宿区
- 年収 600万円 ~ 1,000万円
- AWS
- 機械学習
- Python
- 育休あり
Senior Staff Gameplay Engineer / シニアスタッフゲームプレイエンジニア
Komodo Co., Ltd. —千代田区外神田
- 英語
- C++
- コンピュータネットワーク
- 有給休暇あり
クイック応募
制御エンジニア|Controls Engineer
株式会社EARTHBRAIN —港区六本木一丁目駅
- 一部在宅
- 工事現場
- メンテナンス
- 英語
- 有給休暇あり
【SaaS】Sales Platform_Senior Backend Engineer
株式会社ジーニー —新宿区
- 年収 800万円 ~ 1,500万円
- CRMソフトウェア
- Windows
- SQL
【IT】Business Intelligence Analytics and Reporting Administrator
野村證券株式会社 —江東区豊洲
- Azure
- AWS
- Linux
Platform Engineer
Smart Partners 株式会社 —東京都 23区
- 年収 800万円 ~ 1,300万円
- 英語
- 大卒
- Python
- フレックスタイム制度
クイック応募
【JAPAN AI】Software Enginner, AI Platform / English
株式会社ジーニー —新宿区
- Azure
- AWS
- 大卒
Server Engineer - Red Hat Enterprise Linux & Windows Server
エイラシステム株式会社 —港区三田駅
- 年収 600万円 ~ 1,000万円
- 英語
- Windows
- 大卒
クイック応募
【JAPAN AI】Product Manager, AI SaaS / English
株式会社ジーニー —新宿区
- Azure
- AWS
- AI
SRE / Infrastructure Engineer (Multi-Product AI Platform)
ネクスト・ムーブ　株式会社 —東京都 23区
- 年収 700万円 ~ 1,300万円
- Azure
- 英語
- AWS
- フレックスタイム制度
クイック応募
Engineering Manager
株式会社アドベンチャー —渋谷区恵比寿駅
- 年収 600万円 ~ 1,000万円
- Salesforce
- 英語
- Java
- フレックスタイム制度
- 在宅OK
クイック応募

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Software Engineer– Dr.Zero (AI-Powered Decarbonization Platform)_CEO室

株式会社ゼロボード
港区

今すぐ応募する

求人の詳細

資格とスキル

Go
CSS
React
Kubernetes
ERPシステム
Amazon SageMaker
日本語
Java
PostgreSQL
Terraform
Redis
Amazon CloudWatch
Amazon Simple Queue Service
GraphQL
TypeScript
Python
Amazon EKS

仕事内容の詳細

仕事概要

About Dr.Zero Dr.Zero is not a dashboard. It is not just a reporting tool. It is an AI-powered autonomous operating system for corporate decarbonization. Dr.Zero ingests messy enterprise data (PDFs, invoices, ERP exports, IoT streams), validates it with ML, enables natural language analysis, simulates reduction scenarios, monitors real-time performance, and identifies cleantech innovations. The system consists of six autonomous modules: INGEST – OCR + intelligent document processing for structured extraction VALIDATE – AI-driven anomaly detection and data quality scoring SYNTHESIS – Natural language queries + multi-framework ESG reporting ARCHITECT – MACC analysis, NPV optimization, decarbonization roadmaps SENTINEL – Real-time dashboards and intelligent alerting UPGRADE – AI-based cleantech discovery and implementation proposals All modules are orchestrated by an Agentic Workflow Engine with human-in-the-loop approvals and conversational AI interfaces. This is enterprise-grade, AI-native infrastructure for Japan’s largest companies. Why This Role Matters Japan’s GX policy and global ESG regulations are creating mandatory disclosure and reduction requirements. The carbon management software market is projected to reach $60B+ by 2030. Every feature you ship directly influences real-world emission reduction decisions. You will build systems that affect whether factories adopt hydrogen furnaces, fleets electrify, or supply chains uncover hidden Scope 3 emissions. This is planetary infrastructure — not engagement metrics. Responsibilities As a founding engineer on Dr.Zero, you will work across the full stack and take ownership end-to-end. Examples of ownership include: Designing event-driven communication between microservices Building OCR-to-structured-data pipelines for Japanese invoices Architecting natural language query engines over carbon datasets (RAG) Implementing scenario simulation engines (MACC, NPV optimization) Developing real-time anomaly detection and alerting systems Designing Terraform modules and Kubernetes manifests Shipping an embeddable Agentic SDK for other Zeroboard products Building multi-step workflow engines with compliance-grade audit trails We are a small team. There are no strict boundaries. You will shape architecture decisions that define the product. Tech Stack Frontend Next.js 15, TypeScript, React Server Components Tailwind CSS Agentic UI framework Backend Python 3.12 / FastAPI GraphQL (BFF Gateway) Domain-Driven Design microservices AI / ML Amazon Bedrock (LLMs) Amazon Textract (OCR) Amazon SageMaker (custom ML) RAG with OpenSearch Infrastructure Amazon EKS (Fargate) Terraform (IaC) ArgoCD (GitOps) AWS Step Functions EventBridge / SQS / SNS Aurora PostgreSQL Serverless v2 Redis / OpenSearch Serverless Observability & Security CloudWatch, Grafana, X-Ray Cognito (SAML/OIDC) WAF, VPC isolation, KMS encryption

必須スキル

・Experience building and shipping production-grade systems ・Strong backend development skills (Python preferred, but transferable from Java/Go/TypeScript) ・Experience with modern frontend frameworks (React/Next.js) ・Familiarity with cloud-native architecture (containers, managed DBs, CI/CD) ・Ability to work across the stack and solve problems end-to-end ・Strong written and verbal communication skills ・Self-driven mindset in small, high-ownership teams

歓迎スキル

・AI/ML engineering experience (LLMs, RAG, document processing) ・Data engineering or event-driven architecture experience ・Kubernetes / Terraform / platform engineering experience ・Experience designing scalable design systems ・Knowledge of carbon accounting, GHG Protocol, or ESG frameworks ・Japanese language proficiency (JLPT N2+ preferred)

求める人物像

You may be a strong fit if: You’ve taken AI systems from demo to production You have strong architectural opinions shaped by real trade-offs You’ve managed infrastructure in production environments You care about climate change and want your engineering work to matter

応募概要

給与

Compensation will be determined based on skills, experience, and potential contribution.

勤務地

Location: 10th Floor, Sumitomo Fudosan Tokyo Mita South Tower, 3-5-27 Mita, Minato-ku, Tokyo

雇用形態

Full-time employee

勤務体系

Working Hours: Flextime system No core hours; flexible time from 5:00 a.m. to 10:00 p.m. Breaks: 1 hour per day, to be taken during working hours Annual Holidays: 121 days (based on 2024 results) Days Off: Complete five-day workweek (Saturday and Sunday) plus national holidays Paid Leave: In accordance with statutory requirements (with 5 days granted in advance upon joining) Other Leave: Year-end/New Year holidays, bereavement leave, sick leave

試用期間

3-month

福利厚生

Transportation: Full reimbursement of commuting expenses Health & Well-being: Comprehensive social insurance (health insurance, employee pension, workers’ compensation, employment insurance) + annual health check-up coverage (including gynecological exams) Work Tools: Provision of necessary IT equipment (laptop, smartphone, etc.) and coverage of any required software licenses for your role Professional Growth: Support for training, certifications, and skill development related to your role and the ESG/sustainability domain Work-Life Balance: Flextime system with no core hours, full-remote option with occasional office gatherings, and generous holiday policy (121+ days annually)

企業情報

企業名

株式会社ゼロボード

設立年月

2021年8月24日

本社所在地

東京都港区三田3丁目5番27号住友不動産東京三田サウスタワー10階

従業員数

194名（2026年2月1日現在｜業務委託・アルバイト含）

今すぐ応募する

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