Apifox is a widely popular API development collaboration tool, and we strive to provide engineers with an ultimate development experience. As of 2022, the total market value of the API R&D ecosystem has exceeded 10 billion USD. The management team of Apifox is composed of senior engineers from Tencent. You will work with a group of energetic, straightforward, and outstanding engineers to promote the "API-ization" globally and domestically. Standard configuration for programmers: Macbook Pro (32GB memory version) + 4K monitor + Cursor Pro paid version account Before applying, we hope you understand us: 1. We are a Geek team, only recruiting excellent technical talents (those with strong capabilities or those who are currently average but love learning and can grow quickly); 2. We focus on the technical atmosphere of the team, emphasizing the learning and growth of technical personnel, with weekly technical learning and sharing sessions, Code Reviews; 3. We focus on code quality, and substandard code is unacceptable; 4. If you are not someone who loves learning and tinkering, please do not apply, as you will not be able to integrate into the team even if you join; 5. We believe that excellent people only want to work with excellent people; 6. We have flat management, without the intrigue of the workplace, without rules and regulations, we believe that excellent technical people do not need to be managed; 7. Come here, let the excellent you, only work with excellent people. Responsibilities include: 1. Participate in the development of the Apifox (Apifox.cn) project/international version (focused on the development of engineering efficiency SaaS platforms, API documentation, debugging, Mock, testing integrated collaboration platforms, purely technical projects, similar to Postman/JMeter/coding.net and other R&D efficiency tool chain development, without product managers who don't understand technology giving you requirements); 2. Responsible for the front-end development work of core business functions; 3. Cooperate with product managers and designers to improve user experience and meet performance requirements through various front-end technical means; 4. Responsible for the development and maintenance of front-end pages, and optimize product performance according to requirements; 5. Research cutting-edge front-end technologies and participate in maintaining front-end frameworks and standards; 6. Technology stack: Front-end TypeScript+React/vue/angular+Ant Design+Electron, back-end TypeScript+Node.js. We are looking for someone like you: 1. Bachelor's degree or above, with more than 5 years of web front-end development experience; 2. Proficient in using various web front-end technologies, including HTML5/CSS/Javascript/TypeScript, etc.; 3. Familiar with one or more commonly used front-end frameworks, such as (React, Vue, Angular, etc.); 4. Familiar with the use of modularization, engineering tools such as webpack; 5. Have a sense of code standards, configuration management standards, and documentation writing standards in the development process; 6. Priority will be given to those with development experience in React, TypeScript, Electron, Node.js. We hope you are: 1. Identify with our philosophy: pursuing efficiency, promoting automation, and a culture of continuous improvement; 2. Have a code obsession and engineering mindset: we expect you to be a value-creating engineer, not a labor-selling programmer; 3. Have a Geek style: identify with the UNIX design philosophy, proficient in using various Geek tools; 4. Be good at collaboration and communication: have a foundation in team communication, collaboration, project progress, and time management; 5. Be a lifelong learner: keep learning, love sharing, have a broad technical vision, and be sensitive to new technologies in the industry.

Responsibilities： 1) Partner with the application teams on IT solution configuration and review. 2) Interact with internal and external parties on planning and execution. 3) Play a role in incident and problem management such as impact assessments, troubleshooting and remediation and prevention. 4) Compile operation and technical documents such as knowledge base, technical procedures and test reports. 5) Automation of server operations. 6) Collaborate with the Cyber security/infrastructure engineering and project teams to adopt modern technologies, such as multi-cloud and container orchestration, to enhance manageability. 7) Take roster on call for non-office hour to support production incidents and alerts, all the OT will take compensatory leave to offset: a. Mon – Fri non-office hour: once per month, around 10 calls, average 1 hour per call b. Saturday whole day: once per two months, around 8 hours Requirements: 1) Degree in Computer Science, Information System or IT related disciplines. 2) Minimum 3 years of direct, hands-on Windows administration experience. 3) Advanced knowledge of Windows platform. 4) Familiarity with VMware ESXi support. 5) Familiarity with Powershell scripting. 6) Experience of managing change implementation on large scale systems. 7) Familiarity with Automation practices and tools (SCCM) 8) Good team player with passion to learn and aspirations for career development in the financial industry.

You will, in conjunction with the main engineering team, help create a best in class functional and performance testing infrastructure. You will work closely with our low latency developers, coding the framework to meet the needs on the project going forward. Responsibilities: • Create a best in class functional and non-functional test harness for our key matching engine technology • Process and categorize the output data so it can be easily interrogated on a daily basis by the business and technology • Incorporate packet capture technologies to accurately measure latency of the system in prod-like environments • Work closely with the main engineering team to make sure the testing framework can extend and adapt to the teams needs • Be able to code proficiently in one of Java or C++ and Python • Have a good understanding of the Linux network stack and be interested in learning more about low latency systems Requirements: • Degree in Computer Science, IT or related disciplines. • Minimum 8 years’ experience in software development in large scale systems with multi-components • No less than 8 years of programming in Python, Java or C++. • Understanding of microservice architecture. Good analytic mind, self-motivated and able to work independently. • Fluent spoken and listening English. • Proficiency in SDLC methodology and documentation. • High level understanding of agile software delivery principles is desirable • Knowledge of Messaging platforms, Linux network stack, packet capture/pcaps • Proficiency in Java or C++ (especially testing frameworks in C++ or Java, ex GoogleTest, Boost Test, Junit, Fuzz Testing) • Good analytical, presentation and communication skills, both written and verbal • Exposure to CI/CD tools and experience of contributing to automation strategy • Ability to provide clear, insightful analysis and commentary, proficient with using presentation tools such as PowerPoint, Confluence and Miro • Collaboration with individuals and teams across the organisation at all levels • Ability to work under pressure with changing priorities, with a view to resolving issues innovatively, and meeting key stakeholders expectations • A dynamic and self-motivated attitude • Accountable and proactive • Able to provide leadership and motivate team demonstrating strong interpersonal skills • Must display strong analytical skills and attention for detail

You will, in conjunction with the main engineering team, help create a best in class functional and performance testing infrastructure. You will work closely with our low latency developers, coding the framework to meet the needs on the project going forward. Responsibilities: • Create a best in class functional and non-functional test harness for our key matching engine technology • Process and categorize the output data so it can be easily interrogated on a daily basis by the business and technology • Incorporate packet capture technologies to accurately measure latency of the system in prod-like environments • Work closely with the main engineering team to make sure the testing framework can extend and adapt to the teams needs • Be able to code proficiently in one of Java or C++ and Python • Have a good understanding of the Linux network stack and be interested in learning more about low latency systems Requirements: • Degree in Computer Science, IT or related disciplines. • Minimum 8 years’ experience in software development in large scale systems with multi-components • No less than 8 years of programming in Python, Java or C++. • Understanding of microservice architecture. Good analytic mind, self-motivated and able to work independently. • Fluent spoken and listening English. • Proficiency in SDLC methodology and documentation. • High level understanding of agile software delivery principles is desirable • Knowledge of Messaging platforms, Linux network stack, packet capture/pcaps • Proficiency in Java or C++ (especially testing frameworks in C++ or Java, ex GoogleTest, Boost Test, Junit, Fuzz Testing) • Good analytical, presentation and communication skills, both written and verbal • Exposure to CI/CD tools and experience of contributing to automation strategy • Ability to provide clear, insightful analysis and commentary, proficient with using presentation tools such as PowerPoint, Confluence and Miro • Collaboration with individuals and teams across the organisation at all levels • Ability to work under pressure with changing priorities, with a view to resolving issues innovatively, and meeting key stakeholders expectations • A dynamic and self-motivated attitude • Accountable and proactive • Able to provide leadership and motivate team demonstrating strong interpersonal skills • Must display strong analytical skills and attention for detail

DragonPass is a global B2B2C Airport services provider developing fintech travel solutions for companies such as Barclays, Visa, MasterCard, RBS, Revolut and many similar companies all around the world. Services range including Transport Security Fast Track, Airport lounges and Airport restaurants. Our main aim is to simplify technical complexity. We essentially help our end customers use a multitude of services across an array of complexity in as easier a manner as possible. All of this must be done with beautiful UI and UX. DragonPass has headquarters in Guangzhou, with the international headquarters outside of China being in Hale, Cheshire. There are additional offices in London, Sao Paulo, Johannesburg, Singapore, Shenzhen, Beijing and Shanghai. The business is growing very quickly and looking to recruit individuals with a passion for travel, networking and self-development. What will you be doing? The 24/7 technical support engineer will be acting as a bridge between development team and clients/account management team. Bilingual is mandatory to communicate with the development team and clients/account management team. The 24/7 technical engineer shall handle the call/email from clients for any incidents or 7system outage. The 24/7 technical engineer shall provide an incident report for any issue and provide incident status update for the stakeholders. Check error log from the monitoring system and, identify the root cause of the issue. Create and manage the incident ticket in JIRA. Identify the areas/parts of the system/service causing the issue, and the corresponding impacts to the customer. Create the standard operation support documents in English. Implement the urgent fix based on the standard operation support documents with the support from the DevOps at infrastructure level. Filter the non-critical issues that can be fixed in next day. Preferred skills One or more years of experience in 24/7 Technical support Excellent hands-on support experience in AWS/ Azure Knowledge of programming languages such as Java Strong experience in Linux and Terraform Proficiency in writing automated scripting language in Python Experience in monitoring tools – Grafana, or any other monitoring tools Understanding of full-stack web/mobile, including protocols and web server optimization standards Broad understanding of Oracle, MySQL, NoSQL Database experience, such as MongoDB Proficient in English and Mandarin language skills

Your role QIMA has a 35%/year growth pace, 20% thanks to acquisitions. It is paramount that we manage to integrate quickly our new acquired companies so that they can extend the benefit of our state-of-the-art data management & dashboards to our new clients and colleagues. Data integration plays a key role in this integration: how do we manage to understand quickly and unambiguously the data of the newly acquired company? How do we connect this data to our existing data flows? Data plays a key role at QIMA: as we master the entire data flow, from data collection (with our own inspectors, auditors, and labs), data processing (BI and data scientists) and data actionability (insights for our customers and for our managers). Data is spread around different departments and expertise inside the company: Marketing, Operations, Sales, IT, … Data governance is key, and collaboration around data will unlock the potential to bring even more value to our customers about the quality of their products, and to our managers about their operations. These main challenges about data lead us to look for our Head of Data. In this role, your main responsibilities will be, but not limited to: -Project Management oImagine the business cases of the data projects by exchanging with stakeholders, and deliver them oLead the transversal projects around our datawarehouse and cloud ETL oLead the Master Data Management projects, leveraging the key skills and technologies already in place across departments oDrive the data integration of newly acquired companies within QIMA group in order to synchronize reporting dashboards and provide a transversal understanding of the business oLead the discussion and integration projects with external partners oTrack results and provide continuous improvement oBe responsible for budget, roadmap, quality and delivery of these projects -People Management oManage the Data Engineering and the Business Intelligence teams -Community Animation oAnimate data governance across domains and departments oBe the guardian of data quality in the group, challenge data inconsistencies and ensure that data is shared by all departments in any circumstances oImplement knowledge sharing practices inside the data community oBe responsible of data lineage and data quality -Management of the run oCooperate with our IT support organization to create the support of the newly created systems oOrganize and manage the day-to-day operation and support of this system Requirements: In order to succeed in this role, you must have: -Master's degree in computer science -Extensive experience and knowledge on Data solution architecting -Experience in transversal projects -Are a hands-on person, autonomous, at ease to discuss with a CEO or a field operator -Open minded, agile with change and pragmatic -Ability to drive a workstream and train final users -Can work in a multinational environment and on multiple simultaneous projects -Strong communication skills, both oral and written -Excellent teamwork and interpersonal skills -Are fluent in English: daily use required with our colleagues all over the world; -If you are based in Europe, you are willing and able to travel.

Do you have experience in architecting data at a global organization scale? Do you enjoy working on cutting edge technologies while supporting end-users achieving their business goals? About QIMA You will be linking our new companies in Americas, our teams in Europe (mostly France) and our teams in Asia (China, Hong Kong, Philippines). Your role QIMA has a 35%/year growth pace, 20% thanks to acquisitions. It is paramount that we manage to integrate quickly our new acquired companies so that they can extend the benefit of our state-of-the-art data management & dashboards to our new clients and colleagues. Data integration plays a key role in this integration: how do we manage to understand quickly and unambiguously the data of the newly acquired company? How do we connect this data to our existing data flows? Data plays a key role at QIMA: as we master the entire data flow, from data collection (with our own inspectors, auditors, and labs), data processing (BI and data scientists) and data actionability (insights for our customers and for our managers). Data is spread around different departments and expertise inside the company: Marketing, Operations, Sales, IT, … Data governance is key, and collaboration around data will unlock the potential to bring even more value to our customers about the quality of their products, and to our managers about their operations. These main challenges about data lead us to look for our Head of Data. In this role, your main responsibilities will be, but not limited to: - Project Management o Imagine the business cases of the data projects by exchanging with stakeholders, and deliver them o Lead the transversal projects around our datawarehouse and cloud ETL o Lead the Master Data Management projects, leveraging the key skills and technologies already in place across departments o Drive the data integration of newly acquired companies within QIMA group in order to synchronize reporting dashboards and provide a transversal understanding of the business o Lead the discussion and integration projects with external partners o Track results and provide continuous improvement o Be responsible for budget, roadmap, quality and delivery of these projects - People Management o Manage the Data Engineering and the Business Intelligence teams - Community Animation o Animate data governance across domains and departments o Be the guardian of data quality in the group, challenge data inconsistencies and ensure that data is shared by all departments in any circumstances o Implement knowledge sharing practices inside the data community o Be responsible of data lineage and data quality - Management of the run o Cooperate with our IT support organization to create the support of the newly created systems o Organize and manage the day-to-day operation and support of this system Requirements: In order to succeed in this role, you must have: - Master's degree in computer science - Extensive experience and knowledge on Data solution architecting - Experience in transversal projects - Are a hands-on person, autonomous, at ease to discuss with a CEO or a field operator - Open minded, agile with change and pragmatic - Ability to drive a workstream and train final users - Can work in a multinational environment and on multiple simultaneous projects - Strong communication skills, both oral and written - Excellent teamwork and interpersonal skills - Are fluent in English: daily use required with our colleagues all over the world; - If you are based in Europe, you are willing and able to travel. We offer: a competitive package, performance bonus, fast career progression and international career opportunities.

作为直播平台的产品工程经理,你将负责管理和指导产品的设计、开发和上线。你将与其他团队成员,包括设计师、开发工程师和产品经理,合作完成项目目标,并确保产品在上线后能够获得用户和业务人员的广泛认可。 具体职责包括: 1. 制定产品开发计划并监督执行:根据公司战略和市场需求,制定产品开发计划,并跟踪项目进度和结果。 2. 管理产品设计:与产品设计师合作,确保产品设计符合用户需求和最佳实践,并在产品开发过程中进行调整和改进。 3. 管理开发团队:与开发工程师团队合作,确保产品按时完成并符合质量标准。 4. 协调产品发布:在产品上线前,协调测试、审核和发布等过程,确保产品能够顺利上线并获得广泛认可。 5. 跟踪产品性能:监控产品的性能和用户反馈,及时发现问题并采取行动,以改进产品。 6. 制定并执行技术战略:与产品和技术团队合作,制定并实施技术战略,以确保产品的技术支持能够满足业务需求。 7. 定期更新产品路线图:定期更新产品路线图,以确保产品能够满足市场和用户需求,并保持竞争力。 职位要求: 1. 5年以上产品经理经验,有2年以上产品经理主管经验。 2. 熟悉直播平台产品开发流程,有能力管理产品从需求分析、设计、开发到上线的全过程。 3. 具备良好的团队协作和沟通能力,能够有效地与其他团队成员和利益相关者进行沟通和协调。 4. 具备较强的数据分析能力和用户研究能力,能够根据用户反馈和数据分析进行产品优化和改进。 5. 具备良好的项目管理技能,能够制定并执行产品开发计划,并跟踪项目进度和结果。 6. 具备一定的技术背景和了解产品经理相关的技术战略,能够与技术团队有效沟通并协作。

0x0000-Duty 1）Maintenance of existing data platform: including but not limited to pushing matters about automatic operation and maintenance of data. 2）Iterative research and development of data system: including but not limited to optimizing the storage structure and storage mode of data source to improve the operation speed and storage efficiency of data source. 3）Other data related work, such as cleaning and verification of relevant data. 0x0001-Requirement 1）Computer science, software engineering, information management, math, big data or other science and engineering related majors. 2）Be familiar with Python or at least one other mainstream programming language, and be familiar with the use of basic commands in Linux working environment. 3）Skilled in SQL language and the experience of using at least two kinds of database engine. 4）Have relevant basic knowledge of big data. It is best to have some application-experience. 0x0002-Bonus 1）Relevant R & D experience in time-series database or HDF5. 2）MCM, ACM-ICPC or others award. 3）Fund qualification certificate. 0x0000-职责 1）现有数据平台维护：包括但不局限于推进数据的自动化运维相关事项。 2）数据体系迭代研发：包括但不局限于通过对数据源存储结构、存储模式等方面进行优化，提高数据源的运算速度及存储效率。 3）其他与数据相关的工作，如相关数据的清洗、校验等。 0x0001-要求 1）计算机、软件工程、大数据、应用数学、计算科学、信息管理等理工类相关专业。 2）熟练使用Python或其他至少一种主流编程语言，熟悉Linux工作环境下基本命令的使用。 3）熟练使用SQL语言，使用过至少两种数据库。 4）拥有大数据的相关基础知识，有相关经验最佳。 0x0002-加分项 1）时序数据库或HDF5相关研发经验。 2）MCM、ACM-ICPC等奖项。 3）基金从业资格证

This role will report directly to the Head of Software Engineering. Day in the Life： - [Impact] Design, operate and improve the technical infrastructure of the entire company, including external dependencies (AWS, Twillio, ADP gateway, etc) and internal shared services (feature flags, A/B testing framework, etc) - [Impact] Review and design architectures to help application engineering teams to build simple, secure, scalable, reliable, and cost-effective distributed systems using cloud technologies with AWS AND SaaS APIs. - [Impact] Investigate and monitor performance and problems on systems using DataDog and Sentry. - [Leadership] Design, champion, and implement best practices to achieve SRE (Site Reliability Engineer) operational excellence across all engineering teams - [Leadership] Develop and implement security best practices across all layers of the systems (data, networking, auth, application) - [Leadership] Design and implement DevOps tools and processes to empower all engineering (CI/CD, high-parallel e2e testing infra, code analyzer, dev environment for load testing and sandbox, mobile labs) - [Team development] build, hire, manage, and coach your team, logically consisting of DevOps, SREs, security engineers, system architects, software engineers, and platform engineers across China and Silicon Valley Time Zones - [Team development] Be a cultural champion for Workstream’s values. Who You Are: - [technical] You have extensive infrastructure experience in cloud-native technologies and have led organizations that have built and operated platforms to uplevel the lives of engineers. You are conversant in microservice architectures. - [technical] A strong understanding of system design and system operations. Apt at building processes and mechanisms to enforce best practices. - [team development] Proven experience as a technical leader and engineering manager, as the leader of an engineering organization driving significant impact. You understand how to lead and inspire through others. - [team development] You have experience mentoring and supporting peers and engineering teams, fostering quality engineering practices. - [direction setting] Possess a deep understanding of how to translate product and business goals into tech strategies. - [direction setting] Extensive software engineering experience in an agile environment. - [credentials] In the past, you have solved similar problems affecting the larger company engineering organization and your own team. - [culture] Passionate about developing platforms that are used by thousands of engineers and products for hundreds of millions of consumers. - [culture] Possess a strong interest in keeping up with current best practices in cloud-native technologies. Our working language is English. Where you'll be Minimum: China mainland with easy travel to Shanghai. Preferred: Shanghai. We have an office and a corporate entity in Shanghai. Our engineering team operates in both the PST and Beijing time zone. We have a hybrid schedule where people come to the office 1-3 times a week.

职位概述： 我们正在寻找一位经验丰富、充满激情的高级机器学习工程师/数据科学家加入我们的团队。您将负责设计、开发和部署尖端的机器学习模型和算法，以解决复杂的业务问题，特别是在电商和/或市场平台领域。您将与产品、工程和业务团队紧密合作，利用数据驱动的方法来提升用户体验、优化运营效率、驱动业务增长，并为公司创造显著价值。 主要职责： 1. 问题定义与方案设计：** 深入理解业务需求，将业务问题转化为可量化的机器学习问题，并设计创新的解决方案。 2. 模型研发与优化：** 设计、开发、训练和评估尖端的机器学习模型（如推荐系统、自然语言处理、计算机视觉、预测模型、用户行为分析等）。 3. 数据处理与特征工程：** 熟练处理大规模、多源异构数据，进行数据清洗、转换、特征提取与工程，为模型提供高质量输入。 4. 模型部署与监控：** 将训练好的模型成功部署到生产环境，并建立有效的监控、评估和迭代机制，确保模型效果持续稳定。 5. 业务洞察与价值驱动：** 分析模型结果，提炼有价值的业务洞察，与业务方沟通协作，推动数据驱动决策，量化模型对业务指标的提升。 6. 技术探索与分享：** 跟踪机器学习领域最新技术发展，探索前沿算法在业务中的应用潜力，并在团队内部分享知识和经验。 7. 跨团队协作：** 与数据工程师、软件工程师、产品经理和业务分析师等紧密合作，确保项目顺利推进和落地。 **任职要求： 1. 教育背景：** 计算机科学、统计学、数学、人工智能或相关领域的硕士或博士学位（或具备同等水平的3年以上行业经验）。 2. 工作经验：** 拥有3年以上机器学习或数据科学相关行业的实际工作经验。 3. 优先经验：** 具备电商（如推荐、搜索、风控、用户增长、供应链优化等）和/或市场平台（如广告投放、营销自动化、用户画像、效果评估等）领域的工作经验者优先。 4. 技术能力： 精通Python编程，熟悉常用的机器学习库（如Scikit-learn, TensorFlow, PyTorch, Keras等）。 熟悉至少一种深度学习框架，并有实际项目应用经验。 具备扎实的机器学习理论基础，包括但不限于监督学习、无监督学习、强化学习、自然语言处理、图神经网络等。 熟悉数据处理工具和数据库（如SQL, Pandas, Spark等），能够处理和分析大规模数据。 具备模型部署经验，了解MLOps的基本概念和实践（如使用Docker, Kubernetes, Airflow, MLflow等）。 5. 软技能： * 优秀的分析问题和解决问题的能力，逻辑思维清晰。 * 强大的数据敏感度和业务洞察力。 * 优秀的沟通能力和团队协作精神。 * 具备良好的文档编写能力和项目管理能力。 加分项： * 有大规模分布式机器学习系统设计和实践经验。 * 有成功的模型部署案例，并能量化其对业务带来的价值。 * 在**会议或期刊（如NeurIPS, ICML, ICLR, KDD, WWW等）发表过相关论文。 * 熟悉云平台（如AWS, Azure, GCP）上的机器学习服务。 * 熟悉A/B测试设计和分析。 我们提供： * 具有竞争力的薪酬福利包。 * 参与解决复杂、有挑战性问题的机会。 * 与**人才共事，在快速发展的环境中成长。 * 开放、创新、协作的工作氛围。

Responsibilities -Own & deliver cross-team analytics epics end-to-end (often multi-quarter):scoping, design, implementation, rollout, and adoption, with minimal oversight -Set technical direction for our analytics/BI layer(Looker+dbt+Trino/Spark) and data products; lead design reviews and establish guardrails (cost, reliability, privacy, inclusion) -Model and govern data:design stable contracts(schemas/SLAs), manage lineage, and evolve domain models that unlock self-service and performance at scale -Optimize performance & cost across engines (Trino, Spark/Databricks):plan-level analysis, join/partitioning strategies, aggregation layers, caching/materialization; set SLOs with monitoring/alerting -Raise the bar on engineering quality:testing, CI/CD, documentation, privacy/security, on-call hygiene; lead incident reviews and drive permanent fixes -Mentor & multiply:coach engineers/analysts, delegate effectively, and contribute to recruiting while holding the bar Qualifications -Education: Bachelor's degree or higher in Computer Science or a related technical field, or equivalent practical experience. -Experience: 8–12+ years in data/analytics engineering or adjacent DE/BI roles, including 5+ years owning production semantic models & transformations and 3+ years leading cross-team initiatives end-to-end -SQL & performance:Expert SQL with the ability to read/act on query plans (distributed + warehouse). Proven wins on TB-scale data (e.g., ≥2× latency reduction or ≥30% cost savings) via partitioning, file formats, pruning, aggregations, and caching/materialization -dbt at scale:Operated mid-to-large dbt projects (≈100+ models), using incremental models, tests, exposures, macros/packages, CI/CD, and data contracts; strong documentation and naming standards -Looker semantic layer:Owned LookML modeling across multiple domains; shipped governed explores/measures for 100+ users, with version control, code review, release process, and change management that enable self-service analytics - Engines & storage:Hands-on with Trino/Presto and/or Spark/Databricks (distributed plans, join strategies, partitioning, autoscaling); comfortable with Parquet/Iceberg table layouts and query-aware modeling -Reliability & governance:You set SLOs for BI/analytics surfaces, establish monitoring/alerting, manage lineage & SLAs, and run post-incidents to land permanent fixes -Leadership:Self-directed;sets technical direction for a domain, drives multi-quarter epics, mentors multiple engineers/analysts, leads design reviews, and raises the hiring/promo bar -Software fundamentals:Proficient Python and data tooling; strong testing, CI/CD, code review hygiene; privacy/security awareness -AI/LLM enablement:Experience designing or integrating AI-assisted analytics (e.g., chat-to-SQL over a semantic layer, RAG on dbt/Looker docs) with guardrails for access control/PII and an evaluation plan; can quantify adoption or ticket reduction Nice to Have -Ad-tech domain expertise(RTB auction dynamics, mediation, attribution, and LTV) -Production ops for analytics infra:GitOps (Argo CD), IaC (Terraform), Kubernetes-based data services; incident playbooks for data/BI -Streaming & CDC: Kafka/Kinesis with Flink or Spark Structured Streaming to power near-real-time analytics -JVM stack:Scala/Java for Spark jobs/UDFs or high-throughput data services -Feature/ML data interfaces: feature marts or stores (e.g., Feast), batch/online syncing, model telemetry hooks Privacy & governance at scale: row/column-level security, tokenization, policy-as-code; familiarity with GDPR/CCPA impacts -Data observability&lineage tooling:Datadog, Prometheus/Grafana, OpenLineage/DataHub/Amundsen; automated freshness/volume/uniqueness checks -Experimentation:Experience building the foundations for A/B testing-event definitions, consistent metrics, and safeguards for valid results

Focus Areas Manage EUC corporate hardware activities for APAC users, including coordination of hardware purchase, returns, shipments, replacements, asset management, etc. Provide Major Incident Management Support for the APAC time zone. Customer support /service enhancements Act as the first point of contact for other customers seeking technical assistance, primarily via logging a ticket in Jira SD. Perform remote troubleshooting through diagnostic techniques and pertinent questions. Walk the customer through the problem-solving process. Communicate clearly. Update regularly on progress. Direct unresolved issues to the next level of support personnel or to the right resolution groups. Provide accurate information on IT products or services utilizing the documentation and processes in place. Record your activities in Jira SD in alignment with processes in place (ticket queue management and handling – including proper ticket triaging, prioritization, customer updates as per existing SLA’s, etc.) Proactively follow up on open cases in your queue escalating timely to management for guidance if required. Identify, suggest and engage actively in possible improvements to procedures. Support actively ongoing documentation efforts, building knowledge base articles Assisting other teams as needed (Network/Engineering/etc.). Preferred skills and experience 1. Proven work experience as IT Helpdesk / IT Support Engineer 2. Strong Asset management skills 3. Solid O365 / Google Workspace technical support experience and ability to diagnose and resolve less complex technical issues 4. Windows & MacOS technical support experience 5. Experience resolving AV/ conference room issues 6. Networking foundations are a big plus (cabling, Wi-Fi, firewall). 7. Experience providing support to C-level executives - understanding the importance, impact & sensitivity in a corporate environment 8. Knowledge of the ITIL reference model 9. Proficiency / Fluency in English and Mandarin, both written and spoken Personal attributes 1. Team player, caring for the team’s success 2. Work approach - willing to learn and proactively explore new things on a daily basis 3. Good problem-solving, priority-setting, and collaboration skills

Company Overview ●Tokyo-based speech/music software developer Dreamtonics is rapidly expanding its R&D team to refine and expand its inventory of industry-leading professional voice and vocal creation softwares and plugins. ●Work Location: Dreamtonics products serve an international audience and Dreamtonics is building a multilingual team of engineers. We are open to hiring globally and our primary working language is English. Relocation to Tokyo is preferred but remote working can be negotiated. Overall Requirements ●Strong problem solving skills, and ability to solve problems on one’s own. ●Good writing skills. ●Experience working with teams. ●Some music production/musical instrument experience would be preferred. ●English proficiency (enough to handle video calls) is strongly preferred. Although, we do have members who can keep up with the rest of the team using translators. It depends on the candidate’s communication skills. Required Qualifications *3+ years of hands-on experience in C++ desktop application development. *Familiarity with audio frameworks (e.g., JUCE) and interfaces (e.g., VST3). *Proven experience with multi-threaded programming. *Strong English communication skills, with the ability to actively participate in and contribute to technical meetings. *Aged 35 or younger. Preferred Qualifications *Proficiency in Python and JavaScript. *Experience developing cross-platform applications for both macOS and Windows. *Background in audio engineering, music production, or instrumental performance. *Familiarity with audio processing workflows or music technology ecosystems.

Company Overview ●Tokyo-based speech/music software developer Dreamtonics is rapidly expanding its R&D team to refine and expand its inventory of industry-leading professional voice and vocal creation softwares and plugins. ●Work Location: Dreamtonics products serve an international audience and Dreamtonics is building a multilingual team of engineers. We are open to hiring globally and our primary working language is English. Relocation to Tokyo is preferred but remote working can be negotiated. Job Details Overall Requirements - applicable to all positions ●Strong problem solving skills, and ability to solve problems on one’s own. ●Good writing skills. ●Experience working with teams. ●Some music production/musical instrument experience would be preferred. ●English proficiency (enough to handle video calls) is strongly preferred. Although, we do have members who can keep up with the rest of the team using translators. It depends on the candidate’s communication skills. Required Qualifications *5+ years of web programming experience. *Proficiency in: Vue.js, Django, jQuery, PostgreSQL. *Experience in frontend implementation based on designs using tools like Figma. *Excellent English communication skills; ability to participate in technical meetings in English. *Aged 35 or younger. Preferred Qualifications *Experience in e-commerce platform development and payment system integration. *Experience in integrating website traffic analysis tools, conducting A/B tests and user behavior *path analysis, and optimizing websites accordingly. *Relevant network operations experience: experience with load balancing and CDN (Content *Delivery Network) configuration.