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

ABOUT THE ROLE:

We are seeking a talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival the world’s largest financial institutions. In this role, you will specialize in backend development, designing and optimizing robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform. This is an opportunity to work on greenfield projects in a fast-paced, startup-like environment, driving innovation at the intersection of AI and finance.

RESPONSIBILITIES:

• Develop and optimize microservices for high-concurrency transactions using Go, Postgres, and Kafka.
• Collaborate on system architecture, testing, and monitoring to ensure uptime and performance.
• Build internal tools using frontend technologies as needed to support operational efficiency.
• Support the Technical Lead in risk mitigation and align with engineering, product, and compliance teams to drive project success.
• Contribute to the development of secure, scalable systems for handling financial data and transactions.
• Iterate rapidly on feedback to deliver high-quality solutions in a dynamic environment.

BASIC QUALIFICATIONS:

• 5+ years of software engineering experience, with a strong focus on backend development.
• Proficiency in Go or similar languages and experience with databases (e.g., Postgres) and streaming systems (e.g., Kafka).
• Familiarity with building distributed systems for high-scale, low-latency environments.
• Knowledge of handling secure financial data.
• Ability to contribute to frontend development for internal tools when required.
• Strong communication and problem-solving skills, with a collaborative mindset.

PREFERRED SKILLS AND EXPERIENCE:

• Experience in fintech, payments, or regulatory frameworks (e.g., PCI-DSS, AML/KYC).
• Prior work in a fast-paced, startup-like environment on greenfield projects.
• Comfort navigating ambiguous requirements and iterating based on feedback.
• Passion for leveraging AI to transform financial systems.

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

Ultra Tendency is a global data and AI consultancy with teams across Europe, Asia, and the Americas. As we continue expanding our presence in Japan, we are looking for a Senior Data Engineer – Databricks to join our growing Tokyo team and contribute to the development of scalable data platforms for international clients. 

In this role, you will work closely with engineers, data scientists, and architects to design and implement robust data solutions using modern cloud and data technologies. 

Competitive compensation will be provided in line with the Japanese technology market, based on experience and qualifications. 

YOUR RESPONSIBILITIES 

• Design, implement, and maintain scalable data pipelines using the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake. 
• Develop and optimize batch and streaming data workflows supporting analytics, machine learning, and business intelligence applications. 
• Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready data solutions. 
• Improve performance and cost efficiency of data processing workloads within the Databricks environment. 
• Support the implementation of best practices for data quality, governance, and security. 
• Contribute to knowledge sharing within the team and support the development of junior engineers. 

YOUR EXPERIENCE 

• Strong experience with Databricks and Apache Spark (PySpark, SQL or Scala). 
• Experience building data platforms on major cloud providers (AWS, Azure, or GCP). 
• Solid understanding of distributed data processing, data modeling, and performance optimization. 
• Experience with CI/CD pipelines and version control tools such as Git. 
• Familiarity with orchestration frameworks such as Airflow or Databricks Workflows. 
• Strong communication skills in English and Japanese for collaboration in an international environment. 
• A collaborative mindset and interest in building reliable, scalable data systems. 

WHAT WE OFFER 

• Competitive salary aligned with Japanese market standards. 
• Hybrid work options, combining office and remote work (candidates must be based in Japan). 
• The opportunity to collaborate with experienced colleagues in an international engineering environment. 
• Exposure to large-scale data and AI projects for global organizations. 
• Professional development opportunities, including certifications and continuous learning resources such as Udemy Business. 
• Regular feedback cycles and structured performance reviews to support your career development. 
• A collaborative culture that values knowledge sharing and long-term professional growth. 
• Team events and opportunities to connect with colleagues globally. 

Interested? 

We would be happy to hear from you. Please apply or reach out if you would like to learn more about the role and our team in Japan. 

Ultra Tendencyは、欧州、アジア、南北アメリカにチームを擁するグローバルなデータ／AIコンサルティング企業です。日本での事業拡大に伴い、成長中の東京チームに加わり、海外クライアント向けのスケーラブルなデータプラットフォーム開発に携わっていただくシニアデータエンジニア（Senior Data Engineer）– Databricksを募集しています。 

このポジションでは、エンジニア、データサイエンティスト、アーキテクトと密に連携し、最新のクラウド／データ技術を用いた堅牢なデータソリューションの設計・実装を担当していただきます。 

給与は、日本のテクノロジー市場水準を踏まえ、経験・スキルを考慮のうえ、競争力のある条件をご提示します。 

業務内容 

• Databricks Lakehouse Platform（Apache Spark、Delta Lakeを含む）を用いた、スケーラブルなデータパイプラインの設計、実装、保守を行っていただきます。 
• 分析、機械学習、ビジネスインテリジェンスの各アプリケーションを支える、バッチおよびストリーミングのデータワークフローを開発・最適化していただきます。 
• 部門横断のチームと連携し、ビジネス要件およびデータ要件を、信頼性が高く本番運用可能なデータソリューションへ落とし込んでいただきます。 
• Databricks環境におけるデータ処理ワークロードのパフォーマンスとコスト効率を改善していただきます。 
• データ品質、ガバナンス、セキュリティに関するベストプラクティスの導入を支援していただきます。 
• チーム内のナレッジ共有に貢献し、ジュニアエンジニアの育成を支援していただきます。 

応募資格 

• DatabricksおよびApache Spark（PySparkまたはScala）の実務経験 
• AWS、Azure、GCPなど主要クラウドプロバイダー上でのデータプラットフォーム構築経験 
• 分散データ処理、データモデリング、パフォーマンス最適化に関する確かな理解 
• Gitなどのバージョン管理ツールおよびCI/CDパイプラインの利用経験 
• AirflowやDatabricks Workflowsなどのオーケストレーションフレームワークに関する知識 
• 国際的な環境での協業に必要な英語・日本語の高いコミュニケーション能力 
• 信頼性と拡張性の高いデータシステムの構築に関心を持ち、協調的に業務へ取り組める姿勢 

待遇・福利厚生 

• 日本市場の水準に沿った競争力のある給与 
• ハイブリッド勤務制度（出社とリモートワークの併用。応募には日本在住が必要） 
• 国際的なエンジニアリング環境における、経験豊富なメンバーとの協業機会 
• グローバル企業向けの大規模データ／AIプロジェクトへの参画機会 
• 資格取得支援やUdemy Businessを含む継続学習リソースなどのプロフェッショナル育成支援 
• キャリア開発を支える定期的なフィードバックサイクルと体系的な評価制度 
• ナレッジ共有と長期的なプロフェッショナルとしての成長を重視する協働的な企業文化 
• チームイベントおよびグローバルな同僚と交流できる機会 

ご興味をお持ちの方へ 

ご興味をお持ちいただけましたら、ぜひご応募ください。ポジションや日本チームについて詳しくお知りになりたい場合も、お気軽にご連絡ください。 

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

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

About Paidy, Inc.

Paidy is Japan's pioneer and leading BNPL service with the mission to spread trust through society and to give people room to dream.

Paidy offers instant, monthly-consolidated credit to consumers by removing hassles from payment and purchase experiences. Paidy uses proprietary models and machine learning to underwrite transactions in seconds and guarantee payments to merchants. Paidy increases revenue for merchants by reducing the number of incomplete transactions, increasing conversion rates, boosting average order values, and facilitating repeat purchases from consumers.

Paidy has reached an agreement to join PayPal, the global payments company. Paidy will continue to operate its existing business, maintain its brand and support a wide variety of consumer wallets and marketplaces by providing convenient and innovative services.

Paidy continues to innovate to make shopping easier and more fun both online and offline. For more information, please visit http://www.paidy.com.

About Position 

The position is within the risk engineering team, which is tasked with designing, building, maintaining and operating the set of services that underwrites Paidy’s transactions. These services use machine learning models to predict credit risk and statistical models to detect, block and alert on fraudulent transactions in milliseconds. Recently our scope of work expanded to include designing, building and maintaining new internal web application tools that empower internal teams to experiment with and implement better fraud detection/prevention methods, credit risk policies, and collections policies to further maximize our revenue. We enjoy using Scala in a functional and pragmatic way to ease the burden of delivering quality backend software. We prefer simple solutions that allow us to iterate quickly and deploy them to production often. We value ownership and trust each other to deliver quality work in a timely manner.

Key Role and Responsibilities

• Work in cross-functional teams that include product owners, data scientists and other business domain engineers to deliver new features.
• Periodically evaluate if our services are meeting our security, maintainability, observability and reliability standards, capture any deficiencies and work with the rest of the team to address them.
• Work directly with product owners and stakeholders to ensure that new requirements will not degrade our platform’s performance, reliability or security.
• When assigned as a feature team lead, design and build consensus around new solutions architecture, build the technical implementation roadmap and work with the team to execute it.

Skills and Requirements

• Required to have:
  • Knowledge of Functional Programming and/or Scala and its ecosystem
  • Understanding of software architecture and design with the ability to align the overall service architecture
  • Experience with building distributed systems, scalability and low latency software
  • Experience with maintaining and further developing existing code bases
  • Ability to work with non-experts, discuss their needs and help them formulate their requirements.
  • Ability to explain complex technical concepts to non-experts
  • Showsinterestintheorganization's engineering strategy, product development strategy and how that aligns to the overall business strategy
  • Ability to define task outlines and deliverables
  • Demonstrates a sense of urgency when required
  • Ability to manage some ambiguity and exercises good judgment when needed
  • Ability to give and receive constructive feedback tactfully upstream and downstream
  • Excellent communication skills, ability to interact effectively with multidisciplinary teams
• Big plus if you have experience with:
  • Cassandra, Elasticsearch, Kafka and Postgres
  • CircleCI, AWS, Fargate, Terraform, Datadog
  • Modern front end technologies
  • Event Sourcing and CQRS
  • Working on a payment platform or other fintech field
• Paidy team will ask about your user experiences with Paidy Apps during the interview. Please download Paidy App and try it out!
  • iOS: https://apps.apple.com/jp/app/paidy/id1220373112
  • Android: https://play.google.com/store/apps/details?id=com.paidy.paidy&hl=en&gl=US

For those who are not able to downloadPaidyApp,duetotheregional restrictions, please be advised that you download the similar App, such as Klarna, Afterpay, Affirm and so forth, and come up with your opinions on these applications and services.

• Please note that you must be eligible to work in Japan.

What We Offer You

• Diversified team with 221+ colleagues from 37+ countries
• Exciting work opportunities in a rapid-growing organization
• Cross-functional collaboration
• Flexible work-from-home arrangement
• Competitive salary and benefits

Paidy Values

Be a winner / 勝ちにこだわる

• Beat expectations / 常に期待値を超える
• Display surprising speed / 人をスピードで驚かす
• Embrace risk / リスクを恐れない

Own it and deliver / 結果を出す

• Commit to what, when and how to deliver/ 目的・やり方・期限にコミットする。
• Own the actions to deliver / 結果のためのアクションにこだわる
• Embrace conflict when needed to deliver results / 必要なら対立・衝突も恐れない

Play an integral role / 大切なピースになる

• Make an irreplaceable contribution to our business / 替えの効かない貢献をする
• Embrace and bridge differences in language and culture / 皆が言語と文化の架け橋にな
  る
• Raise the bar / スタンダードを上げ続ける