🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
＜＜求人ポイント＞＞ ・【高い成長性】上場企業であり、売上は24億円から165億円規模へと急成長。毎年120%超の事業成長を継続中 ・【大手企業との強固な基盤】東証プライムなどの大手・優良企業を顧客に持ち、外部支援に留まらず顧客と一体となった変革を推進 ・【柔軟な働き方とカルチャー】ハイブリッドワークや裁量労働・フレックス制を導入。自主的な勉強会やグループ間共有が活発な学び合える環境 ■年収範囲 5,000,000円 ～ 9,000,000円 ◆◆◆ 募集企業の取り組みについて ◆◆◆ 「お客様と一体となり、質的な変化をもたらす真のパートナー」をミッションに掲げ、大手・優良企業の変革を支援する東証上場企業です。2017年の上場以来、売上規模は24億円から165億円へと急拡大しており、今後は毎年120%超の事業成長を目指しています。既存ビジネスの強化に加え、新規事業開発やグローバル展開、AI/データ活用ソリューションなどの多角的な事業拡大を推進しており、2030年に向けて300名規模のエンジニア組織構築を目指しています。 ◆◆◆ なぜ実現できるのか ◆◆◆ ・【強み1：プロダクト力】単なる外部支援にとどまらず、顧客と同じ立ち位置で伴走し、本質的な課題解決を導く高いソリューション力 ・【強み2：市場ポテンシャル】従来のシステム更新ニーズに加え、近年急増している生成AI活用やデータ分析ソリューションへの圧倒的な需要 ・【強み3：パートナーシップ】日本を代表する大手企業や優良企業と深く信頼し合える強固な関係性を構築 ・【強み4：技術投資】LLMやRAGなどの最先端AI技術をいち早く取り入れ、社内外のPoCやプロダクトへの積極的な技術検証・投資を推進 ◆◆◆ 本ポジションのやりがい ◆◆◆ 2030年に向けた「300名規模のエンジニア組織」の創設フェーズに初期メンバーとして参画できます。声を挙げれば自ら別プロジェクトに挑戦できる、高い裁量と成長を応援する組織風土が特徴です。 PythonによるWebアプリ開発のリードだけでなく、LLM・RAGなどの生成AI技術を用いた最先端プロジェクトに参画し、クラウドネイティブなサービス設計や技術選定から顧客折衝まで、上流工程に広く携わることで市場価値の高いフルスタックエンジニアへと成長できます。 ◆◆◆ 使用ツール ◆◆◆ - 開発言語・フレームワーク：Python / Django - インフラ・クラウド：AWS / Azure / GCP - 生成AI関連技術：LLM / RAG ■必須スキル - PythonおよびDjangoを用いた開発実務経験（3年以上） - AWS、Azure、GCPいずれかを用いたクラウド環境でのアプリケーション設計・開発経験（3年以上） ■歓迎スキル - スケジュール管理、コードレビュー、テスト項目チェックなどのリード/品質管理経験 - システムのアーキテクチャ設計、技術選定、データベース設計・チューニング（RDS、DynamoDB等）の経験 - Gitを用いたバージョン管理、およびCI/CDパイプラインの構築・運用経験 - コンサルティング領域への高い関心と、上流工程（顧客提案・要件定義）への参画志向 --- ### ■ English Version > * [High Growth & Stability] A listed company with rapid growth (revenue expanded from 2.4B to 16.5B JPY) targeting over 120% YoY growth. * [Strong Client Base] Direct partnerships with leading enterprise-level organizations to drive actual transformation. * [Flexible Culture] Highly flexible environment with hybrid work options and flexible hours/discretionary work, backed by an active peer-learning culture. ■ Annual Salary Range 5,000,000 JPY ～ 9,000,000 JPY ◆◆◆ About the Company's Initiatives ◆◆◆ With the mission to act as a "true partner" that achieves qualitative transformation hand-in-hand with clients, this listed enterprise drives the transformation of top-tier corporate clients. Since listing in 2017, the company's revenue has rapidly scaled from 2.4 billion JPY to 16.5 billion JPY, with a strategic goal of maintaining a 120% YoY growth rate. The company is actively diversifying through new business creation, global expansion, and AI/data-driven solutions, aiming to scale its professional engineering organization to 300 members by 2030. ◆◆◆ Why We Can Achieve This ◆◆◆ * [Strength 1: High-Quality Solutions] Delivering deep transformation support by standing on the same ground as clients rather than remaining as traditional external vendors. * [Strength 2: Market Potential] High market demand for AI integration and data solution projects, alongside consistent legacy system migration and modernization needs. * [Strength 3: Strategic Partnerships] Established long-term, direct relationships and trust with numerous industry-leading and blue-chip corporations. * [Strength 4: Tech Investment] Active technology validation (PoC) and product integration leveraging state-of-the-art Generative AI (LLM, RAG) and cloud technologies. ◆◆◆ Why This Position is Rewarding ◆◆◆ You will join as a key player during an exciting phase of building a 300-strong engineering division by 2030. The workplace champions autonomy, heavily supporting members who proactively step forward to lead new projects or challenges. Beyond standard Python-based web app development, you will drive Generative AI projects utilizing LLM and RAG. By engaging in cloud-native design, technical selection, and upstream consulting activities directly with clients, you can swiftly fast-track your career to a highly valued full-stack developer or tech lead. ◆◆◆ Tools Used ◆◆◆ - Languages & Frameworks: Python, Django - Cloud Infrastructure: AWS, Azure, GCP - AI Tech: LLM, RAG ■ Minimum Requirements - 3+ years of professional experience in development using Python and Django. - 3+ years of experience designing and developing applications on cloud platforms (AWS, Azure, or GCP). ■ Preferred Qualifications - Experience in project management tasks (e.g., schedule management, code/document reviews, QA processes). - Experience in system architecture design, technology stack selection, and database optimization (RDS, DynamoDB, etc.). - Experience in version control (Git) and building/maintaining CI/CD pipelines. - High interest in consulting work and a strong desire to participate in upstream processes (requirements definition, client proposal, and negotiation). 当社の転職支援サービスに登録または利用した時点で、 以下の利用規約とプライバシーポリシーの内容全てに同意したものとみなされます。 ■ ブルームテックキャリア - 職業紹介サービス 利用規約 https://bloomtech.co.jp/terms/ - プライバシーポリシー https://bloomtech.co.jp/privacy/
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
