All active Cloud Architect roles based in Taipei.
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Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.
Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:
https://www.youtube.com/watch?v=3PxY6su1Q-Q
https://www.youtube.com/@rhombuspower8558/videos
https://www.youtube.com/watch?v=Iby5WVNfQiI
See the following articles to learn more about what we do:
The Role
As a Solutions Engineer at Rhombus Power, you are a hands-on software generalist embedded directly with our national security partners. Much like the pioneering Forward Deployed roles in our industry, you will be the technical expert at the intersection of world-changing problems and impactful AI technology. You will rapidly understand our customers' toughest operational challenges and architect, build, and deploy custom solutions that leverage the Rhombus Power platform. This role is a mix of development and customer support, requiring you to be comfortable writing code (DevOps, frontend, and backend) while acting as the primary technical consultant.
Responsibilities
Qualifications
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Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About the role
In this role you will help to lead a team to develop the Netskope AI Gateway, our industry-leading platform that empowers global enterprises to securely unlock the transformative power of Generative AI. You will conduct technical research, collaborate with other internal engineering and product management teams to design, develop and integrate innovative security capabilities into our platform. Join us to drive the next frontier in AI/LLM security ensuring robust defense against emerging threats.
What you will be doing
Required skills and experience
Education
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Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
Ready to apply?
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Ubuntu is the fastest growing enterprise Linux, the leading platform for public cloud computing, and the engineer's favorite way to drive the future.
Our goal is to help the enterprise embrace open source from end to end, across every class of compute and every class of application, starting with the linux kernel itself, to infrastructure solutions like OpenStack and Kubernetes, all the way up to data, security, analytics and serverless capabilities.
The Silicon Alliances Team works with the leading semiconductor companies to combine open source adoption with innovative optimizations to get the most from each new chip. With our semiconductor partners, we develop joint product roadmaps, drive delivery, formulate go-to-market plans and conceptualize new business models, enabling differentiated hardware and robust product life-cycle support while still anchored to best-in-class Ubuntu. The end goal is a frictionless experience to deploy, maintain, and develop on any hardware from cloud to edge.
The successful candidate is someone who is passionate about both hardware and software technology with interest to grow into business development. We are hiring for positions across early career to senior roles, with scope ranging from small exploratory partnerships to managing our largest and most strategic partnerships.
If you are someone who can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you.
Location: We are for hybrid work; mix of on-site in our Taipei office and remote from home. Global travel to sprints, events, and partner meetings is part of the role.
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
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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
What We're Looking For
[Minimum qualifications]
[Preferred qualifications]
[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.
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About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
About the Role
We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Backend Development to join our Enterprise Solution Engineering Team, Product Recommendation (ES REC). Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. In this role, you will be at the forefront of AI innovation, designing and building scalable backend architecture that delivers personalized experiences.
What You’ll Do
[Minimum qualifications]
[Preferred qualifications]
Why Join Appier?
At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!
#LI-AK1
Ready to apply?
Apply to Appier
About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.
Visit www.appier.com for more information.
About the role
Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines.
We are currently looking for individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.
After the internship, there is an opportunity to transition from an intern to a full-time position.
[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]
Responsibilities
About you
[Minimum qualifications]
Ready to apply?
Apply to Appier
About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
About the role
Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.
Responsibilities
About you
[Minimum qualifications]
[Preferred qualifications]
#LI-AK1
Ready to apply?
Apply to Appier
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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 are looking for a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.
What You’ll Work On
What We’re Looking For (Minimum)
What We’re Looking For (Preferred)
#LI-AK1
Ready to apply?
Apply to Appier
About Appier
Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.
About the Role
We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.
In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.
What You’ll Do
Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.
Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.
Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.
Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.
Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.
Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.
Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.
Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.
Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.
What You Bring
Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).
5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.
Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.
In-depth experience with cloud environments (AWS or GCP) and cloud-native service management.
Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.
Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops.
Familiarity with Git workflows and Linux-based development environments.
Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.
What Will Set You Apart
Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.
Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.
Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.
Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.
Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.
Familiarity with real-time online inference architectures and batch processing trade-offs.
Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.
Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).
Why Join Appier?
At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!
#LI-AK1
Ready to apply?
Apply to Appier
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