Realize your potential by joining the leading performance-driven advertising company!

As a Senior Backend Engineer on the Backend team in our Taipei Office, you’ll play a vital role in building the foundational systems that power content understanding for the entire organization. You will create the robust backbone that enables every team to leverage Generative AI. You will operate with the agility of a startup to deliver powerful, scalable solutions and directly shape how the company innovates with AI.

To thrive in this role, you'll need:

• 7+ years of hands-on coding experience in Java or similar object oriented programming languages.
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, applications programming and multi threading programming.
• Experience with SQL and No-SQL, ex: MySQL, Vertica, Cassandra, Google BigQuery.
• Experience with common frameworks: Spring, Maven, Kafka, Apache Spark.
• Proven experience in building and managing data pipelines and distributed systems.
• Thorough understanding of backend integration concepts and technologies such as API, web services, message queuing, and security practices.
• Quick and self-motivated learner with strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills and the ability to work collaboratively in both team and cross-timezone environments.

Bonus points if you have:

• Well understanding of common design patterns and engineering best practices.
• Familiarity with containerization and orchestration technologies like Kubernetes and Helm.
• Experience with workflow automation tools like Apache Airflow.
• Knowledge of CI/CD tools such as Jenkins.
• Familiarity with modern development practices such as Agile methodologies and DevOps principles.

How you'll make an impact:

As a Senior Backend Engineer, you will:

• Technical Leadership: Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems.
• Hands-On Excellence: Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
• Strategic Scalability: Driving the technical strategy for building highly scalable and reliable solutions to process massive datasets and ensure system stability.
• Democratizing AI: You will architect the centralized access layer that allows every service in the organization to integrate with Large Language Models safely and efficiently.
• Powering the Content Engine: You will own the high-throughput content data infrastructure that ingests, processes, and serves the fundamental data powering our recommendations.
• Automating Quality: You will co-own the pipelines responsible for automated Ad Quality, ensuring millions of recommendations meet strict safety standards without human intervention.
• End-to-End Ownership: You will take full responsibility for the lifecycle of your services—from initial architectural design and hands-on coding to deployment, monitoring, troubleshooting, handling incidents and ensuring production reliability.

Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Summary/Purpose of the role

We are looking for a Senior Software Development Engineer, Developer Tools to join our team.

Automation of key engineering processes - such as builds, testing, deployments, and more - is a critical focus at Network Optix. These efforts help our engineers work more efficiently and deliver high-quality software faster.

The CI team plays a leading role in designing, building, and maintaining this automation ecosystem, driving best practices in CI/CD (Continuous Integration and Continuous Delivery) across the company.

Current State of CI/CD and Automation

A significant portion of our engineering and infrastructure processes is already automated and continuously evolving. The CI team builds and maintains a range of internal services and tools, including:

• Automation tools – Custom bots and services that streamline routine tasks within merge requests and Jira workflows, built on top of the GitLab and Jira APIs.
• Crash analysis service – A service that processes core and minidumps from client environments and automatically creates Jira issues for developers.
• Sign server – A service that securely signs distributable binaries using certificates and keys provided by customers.
• Build tooling – Tools and integrations to build our cross-platform products using CMake, Ninja, and Conan.
• Product CI pipelines – GitLab-based pipelines that run builds and automated tests across our product line.
• Internal CI/CD solutions – Pipelines and web services for internal CI team projects, including Jenkins jobs.

What the CI Team Has Today

• A real engineering culture – Code reviews, pre-commit checks, and a strong focus on writing high-quality, maintainable code.
• A small, hands-on team – 5 engineers and a team lead who actively contributes to the codebase.
• Solid infrastructure – Bare-metal servers running Kubernetes clusters in our own data center.
• Knowledge sharing – A collaborative environment where engineers actively help each other and grow together.
• Room to grow – Opportunities to take ownership of meaningful projects and develop professionally.
  
  

What you will be doing

There is a substantial amount of work ahead as we continue to expand and improve our CI/CD ecosystem:

• New automation services – Design and implement new services, and continue evolving the existing ones.
• Developer productivity tools – Build internal tools and services that save engineers time and streamline daily workflows.
• Build tooling improvements – Make our build infrastructure faster, more reliable, and easier to maintain.
• Pipeline performance – Improve the efficiency, stability, and execution time of our GitLab pipelines.
• Automation backlog – Work through a growing backlog of automation requests from engineering teams across the company.
• Support and maintenance – Troubleshoot issues, fix bugs, and keep existing solutions reliable.

What you bring

Software engineering – Solid hands-on experience building and maintaining production services, with good coding practices and attention to code quality.

• Python – Strong Python skills; this is the team's primary language for service development.
• Service integration – Familiarity with automating workflows through integration with internal services such as GitLab, Jira, and Artifactory, using direct API access, SDKs, CLI tooling, or other programmatic approaches.
• Scripting experience -  Bash, PowerShell
• Git – Solid knowledge of Git and collaborative development workflows.
• Systems fundamentals – Working knowledge of networking, operating systems, and how software interacts with hardware.

Soft skills

• Engineering mindset - Approaches problems pragmatically, gravitates toward clean and maintainable solutions; but also knows when to “use duct tape” instead of “building a spaceship”.
• Ownership mentality - Takes responsibility for the quality and longevity of their work, not just getting it "done."

Kindness - Approachable personality, able to communicate clearly and with empathy 

Nice to Have (Optional)

• Familiarity with CMake, Conan, Ninja, or similar build tools
• Experience with GitLab CI/CD pipelines
• Jenkins experience (groovy)

What we offer

• Competitive compensation  
• Paid time off 
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote

The position is ideally a hybrid role and the office is located in Hague, Netherlands. 

Summary/Purpose of the role

We are looking for a Senior Software Development Engineer, Developer Tools to join our team.

Automation of key engineering processes - such as builds, testing, deployments, and more - is a critical focus at Network Optix. These efforts help our engineers work more efficiently and deliver high-quality software faster.

The CI team plays a leading role in designing, building, and maintaining this automation ecosystem, driving best practices in CI/CD (Continuous Integration and Continuous Delivery) across the company.

Current State of CI/CD and Automation

A significant portion of our engineering and infrastructure processes is already automated and continuously evolving. The CI team builds and maintains a range of internal services and tools, including:

• Automation tools – Custom bots and services that streamline routine tasks within merge requests and Jira workflows, built on top of the GitLab and Jira APIs.
• Crash analysis service – A service that processes core and minidumps from client environments and automatically creates Jira issues for developers.
• Sign server – A service that securely signs distributable binaries using certificates and keys provided by customers.
• Build tooling – Tools and integrations to build our cross-platform products using CMake, Ninja, and Conan.
• Product CI pipelines – GitLab-based pipelines that run builds and automated tests across our product line.
• Internal CI/CD solutions – Pipelines and web services for internal CI team projects, including Jenkins jobs.

What the CI Team Has Today

• A real engineering culture – Code reviews, pre-commit checks, and a strong focus on writing high-quality, maintainable code.
• A small, hands-on team – 5 engineers and a team lead who actively contributes to the codebase.
• Solid infrastructure – Bare-metal servers running Kubernetes clusters in our own data center.
• Knowledge sharing – A collaborative environment where engineers actively help each other and grow together.
• Room to grow – Opportunities to take ownership of meaningful projects and develop professionally.
  
  

What you will be doing

There is a substantial amount of work ahead as we continue to expand and improve our CI/CD ecosystem:

• New automation services – Design and implement new services, and continue evolving the existing ones.
• Developer productivity tools – Build internal tools and services that save engineers time and streamline daily workflows.
• Build tooling improvements – Make our build infrastructure faster, more reliable, and easier to maintain.
• Pipeline performance – Improve the efficiency, stability, and execution time of our GitLab pipelines.
• Automation backlog – Work through a growing backlog of automation requests from engineering teams across the company.
• Support and maintenance – Troubleshoot issues, fix bugs, and keep existing solutions reliable.

What you bring

Software engineering – Solid hands-on experience building and maintaining production services, with good coding practices and attention to code quality.

• Python – Strong Python skills; this is the team's primary language for service development.
• Service integration – Familiarity with automating workflows through integration with internal services such as GitLab, Jira, and Artifactory, using direct API access, SDKs, CLI tooling, or other programmatic approaches.
• Scripting experience -  Bash, PowerShell
• Git – Solid knowledge of Git and collaborative development workflows.
• Systems fundamentals – Working knowledge of networking, operating systems, and how software interacts with hardware.

Soft skills

• Engineering mindset - Approaches problems pragmatically, gravitates toward clean and maintainable solutions; but also knows when to “use duct tape” instead of “building a spaceship”.
• Ownership mentality - Takes responsibility for the quality and longevity of their work, not just getting it "done."

Kindness - Approachable personality, able to communicate clearly and with empathy 

Nice to Have (Optional)

• Familiarity with CMake, Conan, Ninja, or similar build tools
• Experience with GitLab CI/CD pipelines
• Jenkins experience (groovy)

What we offer

• Competitive compensation  
• Paid time off 
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

Hybrid or Remote

The position is ideally a hybrid role and the office is located in Belgrade, Serbia. 

What you’ll do

Responsibilities:

• Design, build and maintain services, pipelines and infrastructure that improve the productivity of engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile, firmware and backend engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our CI/CD pipelines, release infrastructure and test automation systems for SDKs, apps and firmware.
• Work with stakeholders to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Contribute to developer productivity and reliability metrics (e.g. build times, test stability, release velocity) and help drive initiatives that improve them.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including strong experience with backend systems, services or infrastructure. 
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, data pipelines, and infrastructure.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.

Preferred qualifications

• Proficiency in one or more of: Go, Java, or Python.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience designing and operating CI/CD pipelines and release automation systems (e.g. Jenkins, GitLab CI, GitHub Actions).
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with mobile or embedded systems is a plus.
• Experience with infrastructure-as-code, container orchestration, or cloud-native service design.
• Experience with observability and monitoring tools (e.g. Grafana, Prometheus) for developer-facing infrastructure.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

What you’ll do

Responsibilities

• Design, build and maintain tools, libraries and infrastructure that improve the productivity of engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD and test automation systems for SDKs, Android apps and firmware.
• Work with key stakeholders to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.

Preferred qualifications

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

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

Frontend engineers at Appier focus on handcrafting sophisticated web UIs and ad content using cutting-edge front-end development technologies and tools. We collaborate closely with designers and backend engineers to deliver high-quality, smooth, and elegant web applications for the advertising domain as well as support daily operations within Appier.

 [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

 Responsibilities

• Design and develop reusable advertising UI components (e.g., banners, video ads) and supporting systems using modern JavaScript frameworks and AI-powered tools.
• Build and maintain a modular JavaScript library or SDK to ensure scalable, consistent, and easily integrated ad rendering and tracking.
• Optimize ad content performance through efficient loading strategies and responsive design.
• Develop integrations with external SSP platforms, ensuring compliance with technical standards.
• Implement and manage analytics tools to monitor user interaction and ad effectiveness, delivering actionable insights.
• Participate in brainstorming sessions, contributing innovative technical solutions across UI/UX, algorithms, and product development.
• Utilize AI-powered development tools (e.g., GitHub Copilot, Tabnine, Cursor) to enhance coding efficiency and maintain code quality.

About you

[Minimum qualifications]

• Solid understanding of HTML, CSS, JavaScript, TypeScript, DOM, HTTP and web standards.
• Knowledge of modern front-end frameworks like React, Vue, Svelte.
• Experienced in integrating with REST APIs and GraphQL
• Experienced with bundler: Vite, Webpack, esbuild, and Rollup.
• Familiarity with Git for version control.
• Experience ensuring cross-browser compatibility.
• Practice coding conventions, syntax standards, and thorough documentation.
• Shows initiative and strong interpersonal skills in problem-solving.
• Ability to work effectively both independently and as part of a team.

[Preferred qualifications]

• Explores and shares insights on AI tools like GitHub Copilot, Tabnine, Cursor, and AI-driven testing to enhance front-end development and code quality.
• Experienced with meta frameworks like: Next.js, Nuxt.js, SvelteKit.
• Experienced with CSS-in-JS, PostCSS, SASS, and Tailwind CSS.
• Skilled in Jest, React Testing Library, Cypress, and Playwright for testing.
• Experienced in web performance optimization using Core Web Vitals, Lighthouse, WebPageTest, and Chrome DevTools.
• Experienced in debugging on any web environments like webview or browser.
• Experienced in server-side JavaScript runtime: Node.js, bun, deno.
• Experienced with relational databases or NoSQL databases.
• Familiar with CI/CD tools (GitHub Actions, Jenkins, Bitbucket) and Docker.

#LI-AK1

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

• Key owner of sizable engineering projects and services within the ES REC team.
• Architect and implement AI Agents and agentic workflows to automate decision-making processes and enhance recommendation delivery.
• Build and optimize Machine Learning pipelines for large-scale personalization, ensuring efficient data processing, model serving, and low-latency response.
• Design and operate scalable, cloud-native architectures leveraging managed services (e.g., GKE, BigQuery, or Pub/Sub) to support high-throughput recommendation workflows.
• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows to ensure system elasticity.
• Define and implement CI/CD pipelines with tools like Jenkins or ArgoCD to enable seamless, automated, and reliable deployments.
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards.
• Facilitate agile process collaborating with cross-functional teams, including Data Scientists and Product Managers.
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Profiling and performance tuning of critical components to ensure high performance and scalability.
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• 5+ years of experience in software development.
• Proficient in Python or Go.
• Ability to build web services on Linux and good knowledge of Network API Design (REST/GraphQL).
• Proactive, good interpersonal skills, and a strong interest in the MarTech (Marketing Technology) domain and customer-centric product development.
• Open-minded towards using AI tools (e.g., Copilot) to improve coding efficiency.
• Good understanding of SQL/NoSQL databases (MySQL, MongoDB, Redis, etc.).

[Preferred qualifications]

• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform or Helm to manage cloud resources.
• AI Agent Development: Experience in building applications related to LLMs, multi-agent systems, or RAG architectures.
• Machine Learning Engineering: Understanding of the ML lifecycle—from training and prediction to evaluation and feedback loops.
• Familiarity with LLM orchestration frameworks (e.g., Google ADK, LangChain, AutoGen) and Vector Databases.
• Experience in designing and architecting large-scale distributed systems and data-intensive applications.
• Experience with monitoring and alert systems (e.g., Prometheus, Grafana)

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

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

• Developing and operate scalable, reliable and maintainable service-based software and related components.
• Improve the scalability and observability of the system.
• Proposing and prototyping solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components.
• Improving system quality with test automation and related toolings.  
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• Currently pursuing a degree in Computer Science or a related technical field.
• Proficient in building web services on a Linux platform.
• Strong skills in at least one of the following programming languages: Python, Go or Java.
• Solid understanding of Network API Design principles (e.g., REST or GraphQL).
• Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).
• Minimum familiarity with Git version control and the ability to perform basic Git operations.
• Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.
• Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions.
• A collaborative team player who is also capable of independent work.
• Proactive with strong interpersonal and problem-solving skills.

• Bachelor’s degree in Computer Science or a related field.
• Proficient in performance profiling and debugging tools.
• Experience in developing high-performance network services on Linux.
• Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.
• Familiarity with HTML and JavaScript.
• Experience with Nginx and HAProxy.
• Knowledge of Docker and Kubernetes, including experience using these tools.
• Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.
• Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.
• Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).
• Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.
• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

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

As a Senior DevOps Engineer, you will be part of our product teams. Our product teams focus on building large-scale distributed systems, aiming to provide high-quality services. You will focus on the design and implementation of tools for product development, the technologies of service operation, and deployment onto instances with high scalability requirements. Seniority and title are determined by job-related skills, experience, and evaluation following the interview. We welcome international candidates to our teams. This position is ideally to be based in Taiwan.

Responsibilities

• Collaborate with product teams to ensure high availability, reliability, and stability of the microservices architecture
• Design and maintain observability infrastructure (logging, monitoring, alerting)
• Build and optimize CI/CD pipelines and deployment automation
• Develop infrastructure-as-code solutions for scalable service deployment
• Lead incident response, troubleshooting, and post-mortem analysis
• Drive capacity planning and infrastructure scaling strategies
• Maintain comprehensive documentation, including runbooks and operational procedures
• Participate in on-call rotation to support production systems

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• 5+ years of experience in DevOps, SRE, or infrastructure engineering roles 
• Strong Linux system administration skills
• Proficiency in Bash and at least one programming language (Python, Go)
• Proven experience deploying and operating production services
• Experience with version control systems (Git)
• Understanding of cloud computing concepts and architectures
• Hands-on experience with infrastructure automation and configuration management

[Preferred qualifications]

• Experience with container orchestration (Kubernetes, Docker) and configuration management tools (Ansible, Terraform, Puppet, Chef)
• Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
• Production experience with major cloud providers (AWS, GCP, Azure)
• Database administration experience (PostgreSQL, MySQL, MongoDB, Cassandra)
• Experience operating large-scale web services and distributed systems
• Knowledge of security best practices (firewall configuration, IAM, network security)

#LI-AK1

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!

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