About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

【仕事内容】

▼職務内容
PlayStation™Networkは、月間アクティブユーザー1億アカウント以上を抱える世界有数の巨大ネットワークサービスです。私たちは現在、世界中のプレイヤーをつなぐコミュニケーション機能のさらなる進化と、マルチプラットフォーム展開（コンソール、PC、モバイル）に向けた新機能開発（ボイスチャット機能）を推進しています。
本プロジェクトは、既存の枠組みにとらわれず、新しいサーバーアーキテクチャの検討・構築を進めるフェーズにあります。PoC（概念実証）から製品化を見据えて一貫して取り組む、裁量の大きい環境です。
数億人規模のユーザー体験を支える大規模トラフィックと、低遅延・高信頼性が求められるリアルタイム通信領域において、世界水準の品質が求められます。
本ポジションにおいては、エンジニアとして技術的なTrial and Errorの側面からプロジェクトを支えていただくため、エンジニアとしてスペシャリストの指向性が高い方をお待ちしております。

▼組織/職場紹介
私たちはゲームというエンタテインメントを通じて、あらゆる年代や人種を超え世界中の人々に最高の遊び場を提供するために日々取り組んでいます。
私たちの組織には、組織自体も、提供しているプラットフォームもグローバルで大規模であるという特徴があります。本求人の組織では、主に米国のチームと協力しながらサービスの開発を行っており、提供しているプラットフォームは世界の数多くのユーザの巨大なトラフィックを日々処理しています。この環境で私たちは英語力や技術力などで様々なチャレンジをしています。この中には、海外チームとのミーティングや出張の機会もあります。
私たちが自社でサービス開発を行っているプラットフォーマーであることは、業務の幅の広さにも影響しています。一般のゲームプレイヤー向けの B2C だけではなく、ゲームを開発するパートナー企業をサポートするための B2B も提供しており、巨大なトラフィックを処理する Web API の開発だけではなく、業務向けの Web アプリケーションの開発も行っています。
組織としてより良いやり方や新しいやり方を模索することが推奨されており、チームによっては自分の役割を超えてフルスタックな取り組みを行うなど、様々な個性のチームがあります。チームの雰囲気は様々ですが 20 代、30 代の社員も多く、若い世代の方であっても意見が言えてフラットに議論ができる職場です。ゲーム好きな社員が多いため、自社の製品やゲームについて会話することも頻繁にあります。
TechLeadとして開発の最前線でご活躍いただきつつ、将来的なキャリアとしてはアーキテクトポジション、マネジメントやプロジェクト推進に進むことも可能です。

▼魅力
私たちの環境で得られるこれらのユニークな体験にご興味がある方は、ぜひご検討ください。PlayStation™Networkの成功をさらに加速させ、新たなビジネスを切り拓く熱意のある方をお待ちしています。
・ 裁量とスケール
・世界的なプラットフォームにおける、スタートアップのような裁量とスピード感を持って取り組めます。
・技術的な挑戦：「リアルタイム通信 × 大規模トラフィック」というバックエンドエンジニアとして高難度の技術課題に、RustやAWS等のモダンな技術で挑めます（JavaやC++等で活躍できるエリアもあります）。
・グローバルキャリア：USチームとの密な連携を通じ、日本にいながらグローバル水準の開発プロセスと英語力を磨くことができます。

▼使用している技術領域
現時点で必要な知識ではなく、ソフトウェア開発の本質的な思考力や構築力を期待します。
・Cloud Native (AWS やコンテナ、マイクロサービスを活用中、サービスメッシュは導入中)
・システム要件定義 / 設計
・Java や Python
・RDB や KVS
・REST API と Web 技術
・Kubernetes と Linux を用いたサーバ開発・運用
・Web サービスのテスト及びテストの自動化
・CI/CD ツールチェイン
・GitHub
・アジャイル (Scrum)
・DevOps

【応募資格】
◆必須（MUST）
・サーバーサイド/バックエンドの開発経験（言語不問：Java, Rust, C++など）
・Linuxの基本操作およびTCP/IPなどネットワーク技術に関する基礎知識
・コンピュータサイエンスの基礎知識
・ビジネスレベルの日本語力
・読み書きレベルの英語力（ドキュメント読解、チャットでの意思疎通）

◆歓迎（WANT）
・C++を用いた開発経験（サーバーサイド・組み込み問わず歓迎）
・Rust でのプログラミング経験、または強い興味・関心
・AWSなどのパブリッククラウドを用いたネットワークサービスの設計・構築経験
・WebRTCやWebTransportなどの低遅延・リアルタイム通信技術への知見、興味関心
・英語での口頭コミュニケーション能力（会議での議論など）

■語学力
・[日本語] 普段の業務では日本語を用います。ミーティングなどでの会話、既存の日本語ドキュメントの読解、チャットやビジネスツールなどでの読み書きのために、基本的な日本語のコミュニケーションスキルが必要です。
・[英語] グローバルに存在する各拠点のスタッフとの密な連携のため、英語によるコミュニケーション（口頭での会話、ドキュメント作成、チャット、メール、出張、プレゼンテーションなど）が必要となる機会が多くあります。自ら向上する意欲があれば現在の語学力は問いません。
 
【求める人物像】
・周囲とオープンなコミュニケーションが取れる方
・様々な技術に興味を持っている方
・グローバル/大規模なサービス開発に興味を持っている方
・開発したプロダクトに情熱が持てる方
・チームとしての成果・成長に喜びを見いだせる方

◻︎関連記事
https://whatweuse.dev/article/sonyinteractive

組織・チーム紹介

私たちは、PlayStation コンソールを通して、世界中のプレイヤーがつながり、共に楽しみ、感動を共有できるエンタテインメント体験を提供しています。本チームは、プロフィール、フレンド、メッセージ、パーティーなどのソーシャル機能を通じて、オンラインでのコミュニケーション体験を支える重要な役割を担っています。PlayStation コンソール上で動作するクライアントアプリケーションと、それを支えるサーバーアプリケーションの両方を自社で開発しており、全世界で 1 億 2,000 万人を超える月間アクティブユーザー（MAU）に向けたサービスを提供しています。
Webやクラウドといった汎用的な技術を活用しつつ、世界最大級のトラフィックを支えるスケーラブルなシステムを構築・運用するなど、他ではなかなか経験できない技術的チャレンジが待っています。また、海外チームとの協働も非常に活発で、英語を使ったミーティングや日常的なコミュニケーションを通じて、グローバルな環境で技術力と語学力の両面を磨くことができます。
キャリア志向に応じて、将来的にはリーダーとしてチームを率いることも、フルスタックエンジニアとして専門性を深めることも可能です。自社サービスの中でゼロから機能開発に携わり、世界中のプレイヤーに直接価値を届ける手応えを感じることができます。
チームは 20〜30 代を中心とした若い世代で構成されており、技術・コスト・効率・ユーザビリティ・UX など多面的な観点からフラットに議論ができる文化があります。
ゲームやネットワークサービスが好きで、製品への思い入れを持つメンバーが多く、海外拠点との連携を通じてグローバルな視点でサービスを進化させています。
PlayStation の未来を支え、世界中のプレイヤーに新しいつながりと体験を生み出すことに情熱を持てる方をお待ちしています。

職務内容

PlayStation のソーシャル機能（フレンド機能を中心）の設計・開発・運用を担当していただきます。PlayStation コンソール上のアプリケーションから、クラウド上のサーバーアプリケーションまで幅広く関わり、世界中のプレイヤーがつながる体験を支えるエンドツーエンドの開発に携わります。クライアント・サーバー双方のエンジニア、デザイナー、プロダクトマネージャーなどと協働しながら新機能を開発します。PlayStation という大規模プラットフォーム上で、1億人を超えるユーザーに利用される高信頼・高パフォーマンスなシステムを構築・改善します。また、職場環境としてはリモートワークを基本とした柔軟な働き方が可能です。一方で、社内ハッカソンやソーシャルイベントなど、対面でのコミュニケーションの場も活発に設けられており、チーム内外での情報共有や技術的な刺激を得やすい環境があります。

[具体的な職務例]

• PlayStation コンソールアプリケーションおよび関連 SDK の設計・開発（JavaScript / TypeScript, C++）
• ソーシャル機能を支えるサーバーアプリケーションおよび API の設計・実装（Java, JavaScript / TypeScript）
• クライアントとサーバー間の通信仕様設計、パフォーマンスチューニング
• 新機能のUX改善や機能拡張に向けたチーム内議論・プロトタイピング
• 海外拠点を含むグローバルチームとの協働による仕様検討・開発調整
• 継続的デリバリー、テスト自動化、モニタリングなどの運用改善

[使用技術・環境（例）]

• 言語：C++, C#, Java, Python, JavaScript / TypeScript
• インフラ：AWS / Kubernetes / Docker
• コラボレーション：GitHub Enterprise, Jira, Confluence, Slack

求められる実務経験・スキル・人物像

【必須（MUST）】

• チームでのソフトウェア開発経験（3年以上目安）
• JavaScript / TypeScript を用いたクライアントアプリケーション開発経験
• ネットワーク通信を伴うクライアントまたはサーバーアプリケーションの設計・実装経験
• 基本的な Linux 環境での開発経験・知識

【歓迎（WANT）】

• C++、Java など、いずれかの言語を用いたアプリケーション開発経験
• クライアント／サーバー双方の開発経験、またはフルスタック志向
• Web API の設計・開発経験
• クラウド環境（AWS など）での開発・運用経験
• SDK またはライブラリ開発経験
• チームリーディングや技術的な意思決定の経験
• 大規模ユーザー向けネットワークサービスの開発・運用経験

【求める人物像】

• チームでの協働を大切にし、オープンなコミュニケーションができる方
• クライアント－サーバーの垣根を超えた開発に取り組みたい方
• ユーザー体験やインタラクションデザインに関心を持ち、プロダクトの価値向上を意識して開発できる方
• 新しい技術や未経験の領域にも前向きに取り組める方
• 世界中のプレイヤーに価値を届けるサービス開発に情熱を持てる方

【語学力 / Language Skills】

英語：グローバルチームとの連携のため、チャット・メール・会議などの基本的なコミュニケーションスキル
※ただし、現時点の語学力よりも、向上への意欲を重視します

日本語：ビジネスレベルの日本語力（日本語能力試験N1またはそれと同等以上）

Get to know Okta Okta is the World’s Identity Company. We enable everyone to safely use any technology—anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and putting Identity at the heart of business security and growth.

At Okta, we welcome diverse perspectives and experiences. We aren't looking for someone who checks every single box. We are looking for lifelong learners and people who can make our team better with their unique experiences. Join our team! We are building a world where Identity belongs to you.

As a member of the Okta Japan SE team, the Senior Solutions Engineer for the Auth0 Platform will serve as a key technical and business advisor to customers and partners. Leveraging a passion for technology and deep expertise, you will plan, propose, and demonstrate how Auth0 solutions solve critical business challenges for stakeholders ranging from field practitioners to C-level executives throughout the sales cycle. Consequently, you will directly contribute to achieving quarterly and annual sales targets in Japan.

What you’ll be doing

• Collaborate with the sales team and related departments to act as an authority on technology and the Identity Security domain, ensuring customers fully understand the value and potential of the Auth0 Platform.
• Communicate the value of implementing Auth0 solutions to customers in various positions (practitioners, managers, C-level) and earn their trust.
• Serve as a primary technical resource, confidently responding to product functionality questions and detailed technical inquiries from customers, partners, and internal Auth0 teams.
• Drive knowledge sharing by contributing to and utilizing best practices and reusable assets, proactively elevating the expertise and efficiency of the entire SE team.
• Support customer Proof of Concepts (PoCs) to technically demonstrate that implementing Auth0’s identity solutions will deliver value to the customer.
• Participate as a presenter and demonstrator in online or offline events aimed at evangelizing Auth0.
• Lead less experienced sales representatives and SEs, contributing to constructive performance improvement of the entire team through appropriate feedback.

What you’ll bring to the role

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.
• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.
• Native-level Japanese proficiency with excellent communication and reading comprehension skills.
• Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.
• Joy in spreading industry-leading solutions that benefit society.
• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.
• A desire to become a top-tier Solutions Engineer by refining pre-sales skills, not just product and authentication technology knowledge.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organization using sales methodologies such as SPIN, Solution Selling, or MEDDICC.
• Experience with Identity & Access Management (IAM), Single Sign-On (SSO), Security, or API-based solutions.
• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).
• Knowledge/Experience with Cloud Platforms (AWS, GCP, Azure) and tools such as Kubernetes, Terraform, or Serverless environments.
• Hands-on development experience in one or more of the following areas: Web Development (JavaScript, HTML, Front-end frameworks), Mobile Development (iOS, Android), Backend Development (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
• Knowledge of modern technologies such as Generative AI, Intelligent Agents, and Conversational Bots.
• Understanding of core application security (Password Hashing, SSL/TLS, EAR, XSS, XSRF).
• Experience speaking at technical conferences/webinars or writing technical blogs.
• Experience working as a software developer.
• Experience communicating and working with overseas engineers in English.

What you can expect as an Okta employee

• Benefits
• Social Impact (Okta for Good)
• Okta's People, Connections, and Community

Okta builds a dynamic work environment by providing the best tools, technology, and benefits so that employees can work productively in an environment that suits their needs. Each organization has a unique way of working with flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live. Find your place at Okta today!

Okta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider qualified applicants with criminal histories, consistent with applicable legal requirements.

#LI-Hybrid
#KH-1
P24422_3330489

We are hiring a Senior Software Engineer to lead the design and implementation of Anduril’s flagship hardware and software products in support of customer missions. You will:

• Lead and work with a diverse team of engineers around the world, with opportunities to grow a local team
• Work with multiple internal and external partners to ensure customers receive best-in-class products
• Build and integrate various external software and hardware products into Anduril products
• Derive and communicate requirements from multiple customers and partners, operating in complex and challenging environments

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics.
• High ownership and autonomy across the end-to-end lifecycle of software development. Strong technical acumen to deliver high-quality code in a disconnected environment.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node.
• At least 7+ years working with a variety of programming languages such as Go, Rust, C++, Java, Python, JavaScript/TypeScript, etc.
• Experience with customer-oriented UI/UX development.
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (ideally GCP, OCI), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).
• Experience leading small teams of cross functional engineers to design, build, and deploy software systems.
• Ability to quickly understand and navigate complex systems and established code bases.
• Able to work across multiple timezones, primarily JST and Pacific
• Authorization to work and reside in Japan
• Ability to obtain and hold a local government security clearance

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Responsibilities

We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider.

In this role, you will also be responsible to:

• Architect and design intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Design and deploy Agentic AI solutions using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop techniques enabling large language models (LLMs) to reliably author complex behaviors

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. 

• Work closely with clients to understand requirements and provide technical guidance.

• Tailor Workato AI solutions to meet specific client needs, ensuring optimal functionality and scalability.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. 

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks.

• Ensure AI-driven automation is fault-tolerant, efficient, and aligned with enterprise IT best practices

• Create and deliver custom product demonstrations to support the sales and other internal teams.

• Improve internal processes, and promote knowledge sharing in the team, by contributing to Workato’s knowledge base

• Prioritize and deliver outstanding customer service experience to Workato customers

• Play a key role right from the product ideations stage to the implementation stage.

• Support the product manager in creating the technical and design specifications

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education - Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Total12+ years of relevant experience in the field of design, development and implementation.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

• Knowledge of Implementing Integration projects is a must. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases.

• 5+ years of experience, working with Integration Platform such as TIBCO, Dell Boomi, MuleSoft etc is a plus. Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure

• Strong working knowledge with APIs - RESTful, SOAP/XML. Sound knowledge of Data Structure - JSON. Sound knowledge of any RDBMS/NoSQL. 

• 2-3  years of coding experience (Java/Python/Ruby)

• Technical background or a good understanding of technology and industry trends, especially in the app integration space

• Experience working with cloud business apps like Workday / NetSuite / Salesforce / Servicenow / Marketo is a plus

• Working knowledge on Microservices or API-based integration architecture, Event driven architecture, Process Automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

(REQ ID: 2747)

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
• Dataiku platform architecture and deployment
• Platform operations and upgrades
• Best practices for platform usage
• Security, data management, and compute resources
• ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in Japanese
• Fluent English communication 
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-AH1

#LI-JR1

Develop/Configure software feature/s functionality, according to design document, plan and perform unites, in scheduled time line and accurate output. 

Main Responsibilities and Deliverables:

• Develop/Configure software feature(s) according to design document & enterprise software standards.
• Work in multi-disciplinary environment with Architects and Business Analysts using waterfall and agile project methodologies
• Planning and Performing Unit and functionality testing to ensure fit to design.
• Supporting customer by solving functionality problems.
• Interface independently with various R&D and PS Groups and with Customer Support.
• May occasionally need to work on client site And/Or in different time zone.

 Qualifications / Education: 

• E/B.Tech with Practical relevant experience/knowledge
• High level English (verbal & written)
• Proven experience in operating within a global environment
• Experience working in a complex matrix environment
• Basic experience with several of the following

Programming Languages: SQL, Java, JS

Web Technologies: HTML, CSS, XML, XSL, Servlets, Web Services

Operating Systems: Windows, Linux OS

Application Servers and Servlet Containers: WebSphere, Tomcat, Weblogic

Databases:  Oracle, SQL Server, Data Warehousing (ETL, OLAP)

 Professional Capabilities     

• Solid professional capabilities in the domain
• Analyzes information and deduces conclusions within the professional space
• Regarded as a professional that requires minimal supervision
• Responsible for developing/configuring feature(s) functionality for an enterprise-grade software with minimal supervision
• Experienced in Multi-threading and concurrency

About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

The Impact You’ll Make at Appier 

We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines.
In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants.

What You’ll Work On

• Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation.
• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Design and monitor data infrastructure using ClickHouse and PostgreSQL.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities.
• Actively adopt and promote the use of LLM-based tools (e.g., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging.
• Mentor junior engineers and help evolve team engineering culture and standards.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
• 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering.
• Strong coding proficiency in Python and/or Java, with experience building large-scale production systems.
• Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm.
• Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems.
• Deep understanding of ML pipelines and distributed job execution in production environments.
• Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity.
• Strong ownership, architectural thinking, and ability to lead cross-functional platform projects.

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

What you will do

• Design, build, and maintain backend services and data platform components.

• Develop and optimize streaming and batch data workflows.

• Improve reliability and operability (monitoring, alerting, incident prevention/recovery).

• Improve data quality and consistency through schema/contracts and validation mechanisms.

• Diagnose and resolve production issues across service and data layers.

• Drive performance and cost optimization initiatives for large-scale workloads.

• Collaborate across teams to deliver roadmap milestones.

• Mentor engineers and contribute to engineering standards and review culture.

About you

[Minimum qualifications]

• 6+ years of software engineering experience in backend/data-intensive systems.

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

• Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).

• Experience operating services/pipelines in cloud production environments (GCP preferred).

• Solid understanding of reliability practices: observability, on-call, incident response.

• Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

• Experience with data governance (lineage, access control, PII handling).

• Experience with identity/profile systems (entity resolution, merge logic).

• Experience with FinOps/cost optimization for platform workloads.

• Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

Why join us

• Work on high-impact, business-critical data backend systems.

• Own real production outcomes across scale, quality, and cost.

• Collaborate with strong cross-functional teams in AI + data.

• Grow technical leadership while staying hands-on.

Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-AK1

About Tokyo

Applied Intuition entered the Japan market in 2019. The company has rapidly grown and established strategic relationships with major Japanese automotive OEM customers. Based in Otemachi area, the Tokyo site consists of more than 60 employees who previously come from Woven by Toyota, Mobileye, TIER IV, Google, Siemens and other renowned companies. We are hiring our first new graduate class - want to learn more?

About the role

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• Fluency in both English and Japanese (written and verbal), with the ability to operate effectively in a bilingual business environment
• Experience working directly with customers 
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Experience with Linux and/or ARM systems
• Experience working with configuration management tools like Ansible and Terraform

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks:

• Lunch and dinner allowance
• Equity (RSU) offering
• English / Japanese language allowance
• Company sponsored housing program
• Pension plan (確定拠出年金)

FEQ127R214

As a Partner Solutions Architect you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Engage with the partner technical community by leading workshops, seminars, and meet-ups
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog post

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience developing architectures within a public cloud (AWS, Azure, or GCP)
• Coding experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Written and verbal level fluency in Japanese and English

Benefits

• Benefits allowance
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

Req: CSQ127R172
Location: Tokyo, Japan

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What We Look For

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.
• Written and spoken proficiency in both Japanese and English 

Req ID: FEQ427R295
Location: Osaka, Japan

As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese

FEQ227R42

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

仕事の内容

プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。

あなたがもたらす影響：

• あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。
• 見込み客をDatabricksの評価と採用へ導きます。
• リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。
• 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。
• ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。
• 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。
• 顧客のユースケースのディスカバリー
• 既存顧客のDatabricks環境の最適化
• Databricks製品改善のための活動

必要な条件/経験:

• 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験
• 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験
• パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験
• エンタープライズアカウントとの業務経験
•  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること
• データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。

望ましい経験/スキル:

• データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい
• Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験
• Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験
• データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験

Req ID: FEQ427R294
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Digital Native field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

Req ID: FEQ427R123
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Financial Services field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Senior Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

Req ID: FEQ427R293
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Retail/CPG field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

Job Responsibilities

• Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
• Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Strong analytical and quantitative skills
• Demonstrated interest in financial markets and systematic trading
• Clear, concise, and proactive communicator
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

Open to overseas candidates/Visa Support
This position can be based in Tokyo, Japan or Taipei, Taiwan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth relocation transition to Japan.

#LI-AK1

Member of Technical Staff, Backend Engineering

Location: SF Bay Area or Tokyo, Japan
Type: Full-time

About Radical Numerics

Radical Numerics is an AI lab bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We are building the infrastructure needed to unlock scaling on vast biological sequence, structure, and image datasets so that biological world models become a reality. Our team introduced hybrid architectures for million-token context windows, enabling work toward AI-designed whole genomes and gene-editing tools.

We believe the next generation of biological foundation models will require not only better models and training systems, but also robust backend infrastructure that makes those systems usable in practice. This role focuses on the backend services and APIs that connect our research platform to internal tools, external products, and real-world scientific workflows.

About the Role

As a Member of Technical Staff, Backend Engineering at Radical Numerics, you will design, build, and operate backend services that power APIs and platform capabilities across the company. You will help create the systems that make model capabilities accessible, reliable, and easy to integrate, whether for internal researchers, external users, or downstream scientific applications.

This is a hands-on role for someone who wants to own backend systems end-to-end. You should be excited to move from API design to implementation to deployment to observability, while working closely with researchers and product-minded engineers to ensure the systems we build are useful, scalable, and maintainable. 

What You’ll Do

• Build backend services for APIs and platform products. Design and implement backend systems that expose model capabilities, data services, and internal platform functionality through clean, reliable APIs.
• Own services end-to-end. Take backend systems from design docs through implementation, testing, deployment, monitoring, and iteration based on real usage patterns and operational feedback.
• Design for scalability and reliability. Build services that can handle growing traffic, large datasets, and demanding internal workloads while maintaining correctness, low latency, and operational robustness.
• Develop developer-friendly APIs and abstractions. Create clear, well-documented interfaces that make it easy for internal teams and external users to build on top of our systems. 
• Improve backend architecture and platform foundations. Analyze existing systems, identify bottlenecks, and improve the maintainability, fault tolerance, and self-serve usability of our backend stack.
• Work closely with research and product teams. Partner with model researchers, infrastructure engineers, and application teams to understand requirements and translate them into backend systems that support real workflows.
• Build observability and operational tooling. Develop logging, monitoring, tracing, and alerting systems that help us understand service behavior in production and respond quickly when things go wrong.

What We’re Looking For

• Strong track record building production backend systems, distributed systems, APIs, or data services.
• Proficiency in at least one backend language such as Python, Go, Java, or Rust, along with strong software design fundamentals. 
• Experience designing and operating production APIs, including interface design, authentication, versioning, reliability, and monitoring.
• Ability to own services end-to-end: architecture, implementation, testing, deployment, and operational support. 
• Strong understanding of scalable systems design, including data modeling, concurrency, failure modes, and performance tradeoffs.
• Excellent written and verbal communication skills, especially the ability to collaborate across engineering, research, and scientific teams.

Nice to Have

• Experience with event-driven systems, streaming infrastructure, or workflow orchestration.
• Experience with SQL, OLTP/OLAP systems, or data platforms that support analytics or model-facing applications. 
• Experience building self-serve internal platforms, multi-tenant services, or control-plane-style systems. 
• Familiarity with ML or AI product infrastructure, including telemetry, metadata services, inference-facing APIs, or evaluation-related backend systems.
• Experience with security, governance, auditability, data retention, or privacy-aware backend design. 
• Background in distributed systems, infrastructure, computational biology, or another quantitative technical field.

Why Radical Numerics

• Help build the backend platform that makes multimodal biological world models usable in research and product settings.
• Work in an environment that combines distributed systems, model architecture, and numerics research with real biological applications.
• Join a collaborative culture that values rigor, creativity, and cross-disciplinary partnership across AI labs, biotechs, hospital systems, and research institutes.
• Competitive compensation, comprehensive benefits, and support for continual learning.

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

About the role

We are seeking a highly skilled and experienced Senior Software Engineer, General Backend Development. In this role, you will be responsible for developing and maintaining scalable, high-performance backend systems. A primary focus of this position will be diagnosing and resolving complex system performance bottlenecks and tackling intricate concurrency issues, such as race conditions. You will work closely with cross-functional teams to design and implement robust solutions that meet business requirements and ensure the long-term stability and success of our projects.

Responsibilities 

• Design, develop, and maintain robust and scalable backend systems using Java / Python / Go and related frameworks such as Spring, Undertow, Flask, FastAPI, etc.
• Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to define system requirements and deliver high-quality solutions
• Perform code reviews to ensure adherence to coding standards and best practices
• Identify and troubleshoot issues, debug and optimize code for performance and efficiency.
• Participate in the entire software development lifecycle, from planning and design to implementation, testing, and deployment
• Stay updated with the latest industry trends and technologies, and continuously improve technical skills

About you 

[Minimum qualifications]

• Proven experience as a Backend Developer, with at least 8 years of professional experience.
• Strong understanding of programming languages and related web frameworks.
• Apply object-oriented principles and design patterns to ensure code reusability, readability, maintainability, and scalability.
• Experience with functional programming paradigms, such as immutability, higher-order functions, and lambda expressions.
• Embrace a testing mindset and aim for comprehensive test coverage whenever feasible. Possess familiarity with any unit test framework for effective testing.
• Solid understanding of web application development principles, RESTful APIs, and microservices architecture.
• Experience with databases (SQL and NoSQL) and ORM frameworks.
• Experience with OLAP database.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills and ability to work independently as well as in a team environment.
• Excellent communication and collaboration skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experience.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Experience in Java development
• Experience in developing data structures, algorithms on top of Big Data platforms
• Experience in building and managing robust data warehouses. e.g. Trino/Presto , Pinot or Databricks.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Familiarity with Agile development methodologies.
• Familiarity with solving system performance issues or improving system performance
• Familiarity with SRE / DevOps related domains

#LI-BD1　#LI-Hybrid

We are seeking a highly skilled and innovative Technical Director to bridge the gap between client needs and technical solutions within our agency. The ideal candidate possesses a strong understanding of both data, marketing and technical domains, with the ability to architect technical solutions across technologies for web, mobile, enterprise martech and translate complex business requirements into effective and scalable solutions. You will work closely with clients, product design teams, and engineering (front end and back end) teams to design and implement solutions that meet project objectives and shape the technical direction for our clients. We are seeking a hands – on leader for engineering teams and design teams as well as a consultative leader with clients’ technical teams.  We are seeking someone who is collaborative, curious, problem solving oriented and kind.

What You’ll Do

• Architectural Design: Collaborate with cross-functional teams to design and develop scalable and efficient solutions [see example technologies below]. Create architectures that align with project requirements and business objectives.
• Technical Leadership: Provide technical guidance and leadership to the development team, ensuring best practices and architectural standards are followed. Serve as a subject matter expert, staying up-to-date with the latest trends, tools, and frameworks in the creative technology space.
• Solution Development: Work closely with clients and internal stakeholders to identify business needs and translate them into technical requirements. Lead the development of production-ready web, mobile, enterprise martech solutions  
• Collaboration: Collaborate with other Solution Architects, Software Engineers, Designers, and Project Managers to ensure seamless integration of  
• Evaluation and Optimization: Evaluate existing systems and technologies, identifying areas for improvement and optimization. Provide recommendations for enhancements, architectural changes, or technology adoption to enhance overall solution quality and performance.
• Collaboration: Partner with teams of developers and technologists.  
• Pre – sales: Participate in pre-sales conversations with clients and internal teams.

What You’ll Need  

• 8-10 years Experience as a Tech Director, Solution Architect, Technical Architect, Cloud Architect, pre-sales technical lead, or similar role, with a focus on web, mobile, enterprise technologies.
• Strong understanding of architectural principles, design patterns, and best practices in software development. Can provide solutions for high performance and scalability architecture.
• Experience in designing and implementing end-to-end solutions, from requirements gathering to deployment and maintenance.
• Strong communication and interpersonal skills to effectively collaborate with multidisciplinary teams and communicate technical concepts to non-technical stakeholders.  JP and ENG preferred based on client and internal team communication.
• Have experience with any Tech stack/language/framework (JavaScript, TypeScript, ReactJS, Angular, VueJS, HTML5 / CSS 3, SASS/LESS), Mobile (iOS, Android, React Native, Flutter), Backend (NodeJS, Java, Go, PHP, Python, .Net Core), Database (MySQL, MSSQL, PostgreSQL, MongoDB, Cassandra), Web Server (Nginx, Apache), Web (Drupal, AEM)
• Have strong solutioning experience with any of Cloud solutions: Azure, GCP or AWS.
• Excellent understanding of DevOps/CloudOps and building high-availability infrastructure.
• Leadership that combines persuasiveness, decisiveness, and competitiveness is necessary to motivate a team.
• Stay up-to-date on the latest technologies and industry best practices to drive business growth
• Design modern technical architectures to implement the solution
• Develop and oversee technical documentation of client  solutions ie architectures, user manuals, platform evaluation and  recommendations, conform and manage source code control guidelines for the agency
• Work with service-oriented architecture (SOA) technologies.
• Work with various teams to configure management systems via its management interfaces (E.g. EDM, Ad Platforms, CMS, etc)
• Familiarity with source code control systems (E.g. SVN, GIT)
• Familiarity with task tracking systems (E.g. Jira)
• Good understanding of quality processes and standards
• Ability to manage internal stakeholders and client stakeholders.
• Have worked in small/large teams and clients locally and regionally to deliver projects.
• Understanding how to work with product design teams is a plus.
• Exposure to Data-related projects like RFM, BI, ML, AI, is a plus.
• Skilled or Certified in Adobe, Salesforce, CDP, Loyalty Platforms, is a plus.
• Bilingual proficiency in Japanese and English (written and spoken).
• Ability to work in a fast – paced environment.

Operational & delivery excellence:

• Optimize operational efficiency as a catalyst for business success, streamlining technical processes, maximizing resource technical efficiency & utilization, minimizing project delays, number of technical showstoppers, and fostering a culture of continuous improvement.  
• Able to own and drive to solve technical escalations 
• Work with technical teams to implement and deploy solutions, ensuring quality and performance.
• Have experience working with distributed teams

Client consultation and pre- sales:

• Meet with clients to understand their business challenges and technical requirements.
• Translate client requirements into technical specifications and solution designs.
• Design and architect technical solutions that are scalable, reliable, and cost-effective.
• Participate in pre-sales conversations with clients and internal teams.

About Us

VML & Ogilvy Japan GK was established in April 2019 as a partnership between Geometry Global and The Ogilvy Group to enhance our offering to brands in Japan in support of their business ambitions and marketing objectives. We believe in the power of creativity to drive meaningful change that delivers positive business outcomes. Now more than ever the ability for an agency to flex and adapt to clients changing needs is vital in the application of communications, brand experience, commerce and technology. Our blend of global and local expertise and marketing capability is designed to meet the challenges of today while setting our clients up for success from tomorrow and beyond. VML & Ogilvy Japan GK is a WPP company (NASDAQ: WWPGY)

#LI-DNP

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 3+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

About PayPay Securities / PayPay証券について

PayPay is a FinTech company that has surpassed 70 million users (as of July 2025) in 7 years since its launch in 2018, is rapidly expanding its business scale as a payment platform used by approximately one out of every two smartphone users in Japan.

PayPay Securities Corporation provides a unique and familiar asset management service that anyone can easily use in their daily lives as a specialized smartphone brokerage firm that can be used through PayPay.

As a member of the PayPay Group, we are refining our products at an overwhelming speed that no other company can imitate, and we will promote the spread of cashless payments in Japan and the financial life platform that uses them at a dash. We are looking for people who are passionate about these things as professionals, who can identify issues on their own, and who can work together with others to create new value.

※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation.

2018年にサービスを開始してから約7年でユーザー数7,000万人（2025年7月時点）を突破したフィンテック企業である「PayPay」は日本国内においてスマホユーザーのおよそ2人に1人が使用する決済プラットフォームとして急速に事業規模を拡大しています。

PayPay証券株式会社は「PayPay」から使用できるスマホ専業証券会社として「資産運用」を日常の中で誰もが簡単にできるユニークで身近な資産運用サービスを提供しています。
他社に真似できない圧倒的なスピードでプロダクトを磨き上げ、日本のキャッシュレス決済、またそれを使用した金融ライフプラットフォームとしての普及を一気に推進することにプロフェッショナルとして情熱を持って取り組み、ユーザーの為に新しい価値創出を共に推進する仲間を募集します。

※ PayPay証券株式会社へご応募いただく際にはPayPay株式会社、PayPayカード株式会社へ併願応募はご遠慮いただいております。ご了承ください。

Job Description / 業務について

PayPay Securities, as an important part of PayPay’s financial ecosystem, has launched “Point Management” with over 20 million users and “PayPay Asset Management, the first initiative in Japan that enables asset management on a payment application. Now that the business foundation of the financial ecosystem is finally in place, we intend to expand our business to change the structure of asset management in Japan, with the main target being those who have not yet started asset management or were not interested in it before.

To achieve our goal, PayPay Securities is preparing to bring in technical talents not only from Japan but also globally, just as we have done with PayPay’s product division. As a Backend Engineer, you will be collaborating with engineers, designers and QAs, and working in an environment where you can be one of the founding members to build up a new organization within PayPay Securities.

※ Please note that this job is for Japan Residents Only

PayPay証券はPayPayの金融エコシステムの重要な一角を担う企業として、2,000万ユーザーを超える「ポイント運用」と、決済アプリ上で資産運用ができる日本初の取り組みである「PayPay資産運用」をスタートさせました。ようやく金融エコシステムの事業基盤が整ったところで、日本の資産運用の構造を変えるべく、これからはまだ資産運用を始めていない方や関心がない方たちをメインターゲットと捉えて事業を拡大させていきます。

そのためにPayPay証券のエンジニアリング部門は、PayPayと同様なレベルでの技術力と開発スピードの向上および内製化を進めています。
日本国内に限らず海外からも優秀な人材を迎え入れるグローバル組織を構築する予定です。（英語力については翻訳チームやWebツールを活用しながら入社後に学んで頂く形でも問題はありません）

Highlights of the opportunity / ポジションの魅力:

• Be part of the team to build up a new organization and environment
• Develop skills in making business plans from a high perspective, through the high-level coordination with departments and affiliated companies within PayPay Group to support the top management’s decision
• Gain experience in a company that aiming to be the pioneer in the market to provide a brand new Mobile Securities services, which never had before during the era of Financial reformation
• Able to utilize PayPay’s services and user base
  
  
• 新しい組織・環境を一緒に作り上げることができる点
• 経営トップの意思決定サポートや各部門・PayPayを始めとした関係会社とのハイレベルな調整を通じ、高い視点に立った企画立案能力を獲得することができる点
• 金融業界の変革期のなかで、これまでにない新しいモバイル証券サービスの提供を目指す当社において、業界の最前線にて業務経験を積むことができる点
• PayPayのサービス・ユーザー基盤を活用できる点

Responsibilities / 主な担当業務:

• Develop and operate the Backend Application system for PayPay Securities product (PHP, Java, SpringBoot, Kotlin, MySQL/AuroraDB)
• Design large scale systems with high complexity to support our high throughput applications
• Understand how to leverage infrastructure for solving such large scale problems
• Develop tools and contribute to open source wherever possible
• Adopt problem solving as a way of life – always go to root cause!

• PayPay証券プロダクトが接続するバックエンドアプリケーションの開発と運用（PHP、Java、SpringBoot、Kotlin, MySQL/AuroraDB）
• 複雑性の高い大規模システムを設計し、高スループットのアプリケーションを提供する
• システム課題を解決するためのインフラストラクチャの活用方法を理解し実装する
• 可能な限りツールを開発し、またオープンソースに貢献する
• 問題解決思考で行動し、常に根本原因を追求する

Qualifications / 必要なスキル・経験 :

• 3-5 experience in developing Backend Application for company products
• Experience in using Java/PHP under professional environment, or if you are non-Java user, excellent skills in generalized programming languages, such as Scala, Python and Go.
• Interest and ability to learn other coding languages as needed.
• Experience with NoSQL databases and distributed cache.
• Strong fundamentals in data structures, algorithms and object oriented programming
• In-depth understanding of concurrency and distributed computing
• Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development
• Business level in either English or Japanese (JLPT N1)

• 3~5年の自社プロダクトのバックエンド開発経験
• Java/PHPの実務経験。またはScala、Python、Goなどの一般的なプログラミング言語の優れたスキル
  必要に応じて他のプログラミング言語を学ぶ興味を持っていること
• NoSQLデータベースや分散キャッシュの使用経験
• データ構造、アルゴリズム、オブジェクト思考プログラミングの基礎を理解していること
• 並列処理と分散コンピューティングを深く理解していること
• 日本語（日本語が母国語、もしくは、日本語能力試験N1同等レベル）
• 英語に苦手意識がないこと（業務において必要であれば通訳を介します）

Preferred Qualifications / あると望ましいスキル・経験:

• Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients
• Experience with AWS services
• Experience in system design, development of web system which handles massive amount of transactions or requires scalability
• Experience with Microservices
• Experience in working for system development in securities, finance, or similar industries
• Experience in developing inhouse Product/Service

• RESTful API、Pub/Subシステム、データベースクライアントなどのプラットフォームコンポーネントの実装経験
• AWSサービスの利用経験
• システム設計、大量トランザクションを扱うアプリ/Webプロダクト、スケーラビリティを必要とするアプリ/Webプロダクトの開発経験
• マイクロサービスの経験
• 証券・金融業界での開発経験
• インハウスでの自社サービス運用経験
• 英語（ビジネスレベルでの会話が可能なレベル）

The ideal candidates at PayPay Securities / PayPay証券が求める人物像

• PayPay 5 senses

Working Conditions

Employment Status

• Full Time

Office Location

• Hybrid Workstyle (flexible working style including Remote and office)　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　※There are no fixed rules regarding office attendance in Product group; it depends on each individual's discretion.

Work Hours

• Super Flex Time (No Core Time)
• In principle, 9:00am-5:45pm + 1h break (actual working hours: 7h45m + 1h break)

Holidays

• Every Sat/Sun/National holidays (In Japan)
• Summer break (2 days / generally taken between July 1st and September 30th / subject to change depending on month of employment)
• Year-end and New Year holidays (12/31-1/3)

Paid leave

• Annual paid leave (1 to 10 days depending on the month of joining will be granted upon employment date)

Salary

• Annual salary paid in 12 installments (monthly)
• Based on skills, experience and abilities
• Review once a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Overtime allowance, Late overtime allowance, Commuting and transportation expenses, Work style support allowance

Benefits

• Social Insurances (Health insurance, Employee pension, Employment insurance and Industrial accident compensation insurance)
• 401K

待遇・条件

雇用形態

• 正社員

勤務地

• 自宅または本社

勤務時間

• スーパーフレックス制（コアタイム無し）
• 原則：午前9時～午後17時45分（実働7.75時間＋休憩時間 1時間）

休日

• 完全週休2日制（土日祝）
• 有給休暇（入社時付与あり／入社月に応じて1日〜10日付与）
• 夏季休暇（2日／原則7/1-9/30の間に取得／入社月に応じて変動あり）
• 年末年始休暇（12/31-1/3）
  
  

休暇（法定休暇および会社福利厚生）

• 年次有給休暇(初年度10日間、入社月に応じて按分付与、入社日から使用可）

給与

• 年俸制
• 経験、スキル、業績、貢献度に応じ当社規定により決定
• 昇給（年1回）
• 会社業績および個人貢献度により賞与支給（年1回）
• 時間外勤務手当、深夜勤務手当、通勤交通費、WorkStyle支援金

ベネフィット

• 社会保険（健康保険、厚生年金、雇用保険、労災保険）
• 企業型確定拠出年金（401k）