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 at Ad Cloud Platform Team, 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.

About you 

[Minimum Qualifications]

• 2~4 years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
• Proficient in one or more of the following languages, Python is preferred.
• Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
• Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines.
• Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies.
• Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation.
• Highly proficient in AI-assisted development workflows, with hands-on experience leveraging tools such as Cursor, Claude Code, Gemini, or equivalent in day-to-day engineering.
• Solid understanding of agentic coding paradigms, including building or working within multi-step, tool-augmented AI development pipelines.
• Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.

[Preferred Qualifications]

• BS/MS degree in Computer Science or a related field.
• Demonstrated ability to develop complex business features with PM, QA, and front-end engineers.
• Experienced in promoting backend architecture upgrades or improving development processes.
• Exposure to context engineering or AI harness engineering, including designing prompt pipelines, managing LLM context windows, or building structured AI orchestration layers.
• Experienced in building SDKs and applications for iOS or Android.

#LI-AK1

The Position

We are looking for an Associate Support Engineer to join our OPSWAT Level 1 technical support team and assist customers in troubleshooting and resolving technical issues efficiently. This role involves managing support tickets, providing real-time assistance, and contributing to knowledge base documentation to improve customer experience. 

If you have a passion for technology, problem-solving, and customer interaction, this is a great opportunity to grow your career in a dynamic and collaborative environment. 

The position will be based in Taipei, Taiwan.

Key Responsibilities 

• Customer Issue Management 

  • Monitor and manage the queue of open support tickets, ensuring timely resolution. 

  • Track customer status, support level, and previous interactions to provide effective assistance. 

  • Investigate and diagnose reported technical issues by gathering relevant information and attempting to replicate the problem. 

  • Leverage internal knowledge management systems (FAQs, troubleshooting guides, previous tickets, product documentation, internal wikis) to identify solutions before escalating cases.  

  • Escalate complex or unresolved issues to senior engineers or product teams, ensuring detailed documentation of troubleshooting steps taken.

  • Maintain clear and professional communication with customers throughout the support process via email, chat, and phone. 

  • Track customer satisfaction and proactively follow up on outstanding cases to ensure resolution. 

• Technical Assistance & Troubleshooting 

  • Assist customers with installation, configuration, and integration of company products. 

  • Guide customers through technical solutions and best practices. 

  • Work closely with internal teams (Product Development, Engineering, QA) to address technical challenges. 

• Documentation & Reporting 

  • Maintain detailed records of customer interactions and resolutions in the ticketing system. 

  • Create and update knowledge base articles, FAQs, and troubleshooting guides. 

  • Ensure accurate categorization and tagging of tickets for efficient tracking and reporting. 

• Continuous Learning & Improvement 

  • Stay up to date with product updates, new features, and industry trends. 

  • Participate in internal training sessions and gain certifications in relevant technologies. 

  • Collaborate with the team to identify areas for process improvement in technical support operations. 

What We Need from You 

• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience). 

• 1-2 years of experience in technical support, helpdesk, or IT service role. 

• Familiarity with ticketing systems (e.g., Jira, Service Cloud, Zendesk, ServiceNow). 

• Strong problem-solving abilities and attention to detail. 

• Excellent English and Mandarin communication skills (written and verbal). 

• Hands-on experience with Windows and Linux environments.  

• Familiarity with networking concepts (TCP/IP, DNS, firewalls, etc.). 

• Ability to learn quickly and work collaboratively in a team environment. 

Nice to Have (Preferred Qualifications) 

• Basic understanding of cloud computing (AWS, Azure, Google Cloud). 

• Knowledge of cybersecurity concepts and security products. 

• Basic understanding of Docker, Kubernetes, or containerized environments. 

• Scripting or automation skills (Python, Bash, or PowerShell). 

What We Offer 

• Competitive salary and benefits package. 

• Opportunities for career growth and skill development. 

• Exposure to cutting-edge technologies and industry-leading products. 

• Collaborative and dynamic work environment. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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 Belgrade, Serbia. 

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. 

About Appier 

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

About the role

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

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

What you will do

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

• Develop and optimize streaming and batch data workflows.

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

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

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

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

• Collaborate across teams to deliver roadmap milestones.

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

About you

[Minimum qualifications]

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

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

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

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

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

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

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

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

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

• Experience with FinOps/cost optimization for platform workloads.

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

[Language]

Fluent in English.

Why join us

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

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

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

• Grow technical leadership while staying hands-on.

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

#LI-AK1

Responsibilities:

• Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

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

• Design, architect and develop high performance, scalable cloud based security systems to detect and mitigate attacks on generative AI applications and LLMs
• Define and drive best practices around scalable microservices, distributed systems, APIs and secure data flows
• Lead and inspire a world-class engineering organization, fostering a culture of innovation, collaboration and continuous improvements
• Partner with product management to understand customer requirements, lead the team and collaborate with other engineering teams to design and implement high-quality solutions
• Perform architectural reviews, code reviews and mentor junior engineers
• Stay abreast of emerging GenAI and cybersecurity technologies and proactively propose innovative solutions

Required skills and experience

• 10 to 12+ years of experience in software engineering, with 5+ years in architectural or technical leadership role
• Deep expertise in backend engineering using Golang, Python, C++ or Java
• Proven experience designing large-scale, secure and cloud-native systems
• Hands-on experience with Docker and Kubernetes, specifically debugging workloads, networking, and storage in on-prem or hybrid environments
• Excellent communication skills, be able to collaborate, influence and lead
• Willingness to work with a globally distributed team in different time zones
• Startup experience in a fast paced environment is a plus

Education

• BS in Computer Science or equivalent required; MS strongly preferred.

#LI-AW1

About The Role

We are hiring a Software Engineer to join our Blockchain Engineering team at StraitsX. The team builds and operates the backend infrastructure that powers our stablecoin operations across multiple blockchains, including Ethereum, Solana, Avalanche, Hedera, XRP Ledger, Polygon, and others. This role is ideal for early-career engineers who are eager to learn, build strong backend fundamentals, and gain exposure to blockchain systems in a production environment.

What You Will Do

• Develop and maintain Go-based microservices (Fiber v2, GORM, Asynq) with guidance from senior engineers
• Build APIs and background workers for payments, wallet custody, and blockchain event processing
• Integrate with blockchain networks using Go SDKs
• Write clean, well-tested, and maintainable code
• Work with Postgres and Redis for data storage, caching, and task queues
• Support debugging of production issues using tools such as Datadog
• Participate in code reviews and on-call rotations with team support
• Contribute to CI/CD pipelines (GitHub Actions, Docker, Kubernetes)
• Gain exposure to smart contract development (Solidity, Foundry/Hardhat, OpenZeppelin)

What We Are Looking For

• Bachelor’s degree in Computer Science or equivalent practical experience
• 0–2 years of professional software engineering experience
• Basic proficiency in at least one backend programming language (Go, Python, Ruby, JavaScript, etc.)
• Fundamental understanding of SQL and relational databases (e.g., Postgres)
• Familiarity with REST APIs and HTTP concepts
• Basic knowledge of Git
• Strong willingness to learn and interest in blockchain and distributed systems
• Exposure to Go (personal projects, internships, or coursework) is a plus
• Basic understanding of blockchain concepts (transactions, wallets, etc.) is a plus
• Familiarity with Docker or containerization is a plus
• Exposure to Redis or background job systems is a plus
• Experience with cloud platforms (e.g., AWS) is a plus

About The Role

We are hiring a Mid-level Software Engineer to join our Blockchain Engineering team at StraitsX. The team is responsible for building and scaling the backend infrastructure that powers our stablecoin operations across Ethereum, Solana, Avalanche, Hedera, XRP Ledger, Polygon, and other networks. This role is suited for engineers who can independently deliver production-ready systems and contribute to improving system reliability, scalability, and engineering practices.

What You Will Do

• Design, build, and maintain Go-based microservices (Fiber v2, GORM, Asynq) in a production environment
• Develop scalable APIs and background workers for payments, wallet custody, and blockchain event processing
• Integrate and maintain connections with multiple blockchain networks using Go SDKs
• Write high-quality, well-tested, and maintainable code
• Optimize performance and reliability using Postgres and Redis (caching, distributed locks, task queues)
• Troubleshoot and resolve production issues using observability tools such as Datadog
• Actively participate in code reviews, on-call rotations, and incident response
• Contribute to CI/CD pipelines and deployment processes (GitHub Actions, Docker, Kubernetes)
• Contribute to or review Solidity smart contracts when needed

What We Are Looking For

• Bachelor’s degree in Computer Science or equivalent practical experience
• 2–4 years of professional software engineering experience
• Strong proficiency in at least one backend programming language (Go preferred)
• Solid experience with SQL and relational databases (e.g., Postgres)
• Good understanding of RESTful APIs and distributed system fundamentals
• Experience working with Git in a collaborative environment
• Demonstrated ability to debug and troubleshoot production issues
• Interest in blockchain and distributed systems
• Hands-on experience building and operating production systems in Go is a plus
• Working knowledge of blockchain concepts (transactions, wallets, smart contracts, consensus mechanisms) is a plus
• Experience with Docker and Kubernetes is a plus
• Familiarity with Redis and background job systems is a plus
• Experience with Solidity (Hardhat, Foundry, OpenZeppelin) is a plus
• Experience with AWS or other cloud platforms is a plus
• Familiarity with observability tools (Datadog, Rollbar, etc.) is a plus
• Prior experience in fintech or regulated environments is a plus

About The Role

We are hiring a Software Engineer to join our Blockchain Engineering team at StraitsX. The team builds and operates the backend infrastructure that powers our stablecoin operations across multiple blockchains, including Ethereum, Solana, Avalanche, Hedera, XRP Ledger, Polygon, and others. This role is ideal for early-career engineers who are eager to learn, build strong backend fundamentals, and gain exposure to blockchain systems in a production environment.

What You Will Do

• Develop and maintain Go-based microservices (Fiber v2, GORM, Asynq) with guidance from senior engineers
• Build APIs and background workers for payments, wallet custody, and blockchain event processing
• Integrate with blockchain networks using Go SDKs
• Write clean, well-tested, and maintainable code
• Work with Postgres and Redis for data storage, caching, and task queues
• Support debugging of production issues using tools such as Datadog
• Participate in code reviews and on-call rotations with team support
• Contribute to CI/CD pipelines (GitHub Actions, Docker, Kubernetes)
• Gain exposure to smart contract development (Solidity, Foundry/Hardhat, OpenZeppelin)

What We Are Looking For

• Bachelor’s degree in Computer Science or equivalent practical experience
• 0–2 years of professional software engineering experience
• Basic proficiency in at least one backend programming language (Go, Python, Ruby, JavaScript, etc.)
• Fundamental understanding of SQL and relational databases (e.g., Postgres)
• Familiarity with REST APIs and HTTP concepts
• Basic knowledge of Git
• Strong willingness to learn and interest in blockchain and distributed systems
• Exposure to Go (personal projects, internships, or coursework) is a plus
• Basic understanding of blockchain concepts (transactions, wallets, etc.) is a plus
• Familiarity with Docker or containerization is a plus
• Exposure to Redis or background job systems is a plus
• Experience with cloud platforms (e.g., AWS) is a plus

介紹 GNTC 團隊

Dcard GNTC 團隊致力於打造企業級 AI 工作平台，讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具，更是每個團隊成員的智能助手，能夠深度整合企業資料與流程，協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台，使企業夥伴可以提升決策與洞察 、加速企劃產出 ，並且能透過 Agent 自動化處理例行任務，讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標，我們需要 Fullstack Engineer 加入我們，負責 Dcard GNTC 企業 Agent 平台的前後端開發與系統架構設計。你將端到端打造完整的生成式 AI 應用，為企業客戶提供優質的產品體驗。

你將在團隊參與⋯

• 開發 Dcard GNTC Agent 平台的前後端完整功能
  • 設計並實作 AI Chat 介面、Dashboard、管理後台等前端應用
  • 開發 MCP Server、API、AI Workflow 等後端服務
  • 整合 LLM、RAG 等 AI 技術棧
  • 優化前端使用者體驗與後端系統效能
• 根據產品規劃與客戶需求，快速交付完整的技術方案
  • 參與技術方案討論，從前端到後端提供完整的實作建議
  • 將產品需求轉化為清晰的前後端功能與使用者體驗
  • 根據時程、成本、技術可行性平衡前後端開發優先順序
• 持續改善產品體驗與技術架構
  • 優化前端互動體驗、效能與可用性
  • 強化後端系統的穩定性、可擴展性與維護性
  • 建立可重用的 UI 元件與後端模組
  • 改善開發工具、CI/CD 與部署流程
• 技術研究與知識分享
  • 持續學習 Agent 相關知識與前後端新技術，評估並導入適合的技術
  • 在團隊內部進行技術分享與文件撰寫

我們期待看到一個優秀的 Full Stack Engineer 具備以下能力

• 5 年以上 Web / Full Stack 開發經驗，能獨立交付完整產品功能
• 具備良好的產品工程思維，能在需求不完全清楚時完成拆解、推進與落地
• 熟悉以下技術：
  • 熟悉 AI SDK
  • MCP（Model Context Protocol）開發與整合經驗
    • 理解 MCP 的架構與運作原理
    • 實際開發過 MCP Server 或 Client
    • 能設計企業級 MCP 整合方案
    • LLM 應用開發：深入理解 Prompt Engineering、Context Engineering、RAG（Retrieval-Augmented Generation）
    • LLM-based Workflow Automation 與 AI Agent 開發經驗
  • 前端開發能力
    • 熟悉 React
    • 精通 TypeScript
    • 熟悉 Next.js 或類似 SSR/SSG 框架
    • 能設計並實作優秀的 AI Chat 介面與互動體驗
    • 理解 WebSocket、Server-Sent Events (SSE) 等即時通訊技術
    • 熟悉 Tailwind CSS 或其他 CSS 框架
  • 後端開發能力
    • 精通 TypeScript
    • 熟悉 Python
    • REST API 設計與開發
    • Relational / NoSQL Database 使用經驗
    • 能熟練操作 Linux（部署、自動化腳本）
    • 理解 Networking 基礎（DNS、TCP/IP、WebSocket、SSE、Load Balancing）
    • Cloud-Native & Container（Kubernetes、Docker）

如果你擁有以下能力，那就更棒了！

• 熟悉 LangChain、LlamaIndex 或其他 AI 開發框架
• Vector Database 使用經驗（如 Pinecone、Qdrant、Weaviate、Milvus）
• 前端進階能力
• 熟悉 Webview 或跨平台開發經驗
• 有 UI/UX 設計敏感度，能與設計師高效協作
• 熟悉 Zustand、Jotai 或其他狀態管理工具
• AI 相關進階能力
• 具備 AI SDK 實際開發經驗
• OpenAI Function Calling、Assistants API 深度使用經驗
• LoRA 等模型訓練與優化經驗
• 有開發 AI Agent 或 Multi-Agent System 經驗
• 對 Embedding Models、Semantic Search 有深入理解
• Streaming Response 處理經驗（前後端）
• 其他
• 在技術社群有活躍貢獻（開源專案、技術文章、Conference 演講）

薪資待遇

• 面議

注意事項

• 如果團隊覺得有機會合作，一起讓 Dcard 往更高的目標邁進，我們會儘速聯絡您！
• 若不符合職位需求的面試者，將不另行通知。
• 如果尋找到合適的人選加入，職缺可能會提前關閉。
• 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
• 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境

狄卡科技股份有限公司及其關係企業基於「員工招募」之目的，將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料，或您主動為求職目的而提供的資料（履歷、自傳等），以在招募期間及地區內，作為本次招募作業審核、評選、聯繫之用。如您未獲錄取，我們仍將保留您的資料以便向您通知新的職缺機會。

您得以致電狄卡科技股份有限公司及其關係企業（電子信箱：hr.ta@dcard.cc）行使請求查閱、補充、更正；請求提供複製本；請求停止蒐集、處理、利用；請求刪除個人資料等權利。如您未正確、完整提供各項資料，將可能影響聘用審核、評選或聯繫。

Software has moved to play a central role in network technology. From outstanding routing implementations like Bird and FRR to overlay networking technology such as OVN/OVS and Cilium, from kernel with SwitchDev to userspace with DPDK, from P4 to OpenFlow, the relationship between network innovation and software continues to deepen. We are building teams to bring the very best open source networking software to market in a well integrated and opinionated stack that brings the latest hyperscaler innovation to end users and enterprise customers.

We work with networking silicon providers to optimize Ubuntu and related applications for their ASICs, boards and appliances. We aim to provide a complete open source stack for data center networking, from bare metal through virtualization, container and serverless, and also to address IoT networking systematically.

You will have a good chance of success if you are an outstanding software engineer, passionate about networking, with a special interest in the interface of hardware ASICs for acceleration and software for innovation and control. We value experience in open switch initiatives such as SoNIC and DENT, and upstream experience with components such as routing, kernel networking, eBPF, DNS, firewalls and load balancers. Our selection process is rigorous and requires work from the candidate as six to eight interviews over a period of months. We look for excellent academic results and a commitment to quality, resilience, documentation, security and performance in your work.

At Canonical you will have the opportunity to engage with the broader open-source community and industry leading partners in developing future-proof networking solutions. We're looking for individuals who can help build a thriving community, contribute to a broad range of technologies, and contribute to the deployment of Ubuntu, Ubuntu Core, Private Clouds, MAAS and Kubernetes across a broad range of devices and use cases.

Location: we have network software engineering roles in APAC (Top-of-Rack switches) and Americas (SmartNIC/DPU) time zones.

What your day will look like

• Work with the most advanced operating systems and network application technologies available
• Participate upstream and deliver the Ubuntu SoNIC stack
• Collaborate with public clouds and network silicon providers
• Design and implement the best software-defined networking experience for the data center
• Write high-quality, well-designed, fast, secure and well-documented software
• Debug issues and produce high-quality fixes
• Collaborate proactively with a globally distributed organization
• Contribute to technical documentation to make it the best of its kind
• Display technical leadership internally, towards our partners, and in the open source communities
• Influence open-source projects and communities
• Work from home, with global travel twice a year for company events of up to two weeks duration

What we are looking for in you

• An exceptional academic track record
• Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
• Drive and a track record of going above-and-beyond expectations
• Knowledge of networking: architecture, design, and protocols
• Understanding of Linux networking, from kernel to user space
• Fluency in C/C++ and at least one of Rust, Python or Golang
• Professional written and spoken English 
• Experience with Linux
• Excellent interpersonal skills, curiosity, flexibility, and accountability 
• Passion, thoughtfulness, and self-motivation 
• Excellent communication and presentation skills 
• Result-oriented, with a personal drive to meet commitments 
• Ability to travel twice a year, for company events up to two weeks each

Additional skills that you might also bring

• Familiarity with existing open source networking technologies: SONIC / SAI, kernel (e.g. eBPF, AF_XDP), DPDK, Switchdev, OVN, Open vSwitch.
• Familiarity with data path hardware acceleration protocols and interfaces, such as RDMA, RoCE, iWARP, NVMe, SR-IOV
• Computer architecture knowledge of x86, ARM, and RISC-V
• Experience in complex IP network engineering and implementation
• Experience with virtualization technologies, e.g., QEMU, KVM, etc.
• Previous contribution to open source projects and community involvement
• Performance engineering and security experience

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm 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 every day. 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.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

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.

#LI-remote

Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.

As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability.

Key responsibilities

• Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
• Set goals with the team; prioritize tasks, identify and measure team health indicators
• Maximise the results of team members and support their career growth
• Coordinate with project managers, HWE, QA and certification management
• Monitor projects from kickoff to post-mortem and handle escalations
• Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
• Prioritize customer requests globally
• Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
• Provide leadership for methodologies, strategies, standards, tools, and best practices
• Must be able to travel to the EU, USA, China, and Taiwan

Required skills and experience

• A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
• Proven track record in technical roles with Linux, preferably Ubuntu or Debian
• Commitment to development and testing methodologies, and maintainable code quality
• Experience with management responsibilities
• Ability to work collaboratively in a team environment
• Ability to be productive in a globally distributed team through self-discipline and self-motivation
• Commitment and energy to deliver on schedule
• Strong English and Chinese language communication skills, both written and verbal

Desirable skills and experience

• Making technical decisions for a team as a tech lead
• Software architecture and design experience
• Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
• Participation in open-source development projects
• Experience with CI/CD

Canonical is an equal opportunity employer

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.

As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability.

Key responsibilities

• Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
• Set goals with the team; prioritize tasks, identify and measure team health indicators
• Maximise the results of team members and support their career growth
• Coordinate with project managers, HWE, QA and certification management
• Monitor projects from kickoff to post-mortem and handle escalations
• Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
• Prioritize customer requests globally
• Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
• Provide leadership for methodologies, strategies, standards, tools, and best practices
• Must be able to travel to the EU, USA, China, and Taiwan

Required skills and experience

• A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
• Proven track record in technical roles with Linux, preferably Ubuntu or Debian
• Commitment to development and testing methodologies, and maintainable code quality
• Experience with management responsibilities
• Ability to work collaboratively in a team environment
• Ability to be productive in a globally distributed team through self-discipline and self-motivation
• Commitment and energy to deliver on schedule
• Strong English and Chinese language communication skills, both written and verbal

Desirable skills and experience

• Making technical decisions for a team as a tech lead
• Software architecture and design experience
• Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
• Participation in open-source development projects
• Experience with CI/CD

Canonical is an equal opportunity employer

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

#LI-ET1 #stack

Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.

As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability.

Key responsibilities

• Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
• Set goals with the team; prioritize tasks, identify and measure team health indicators
• Maximise the results of team members and support their career growth
• Coordinate with project managers, HWE, QA and certification management
• Monitor projects from kickoff to post-mortem and handle escalations
• Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
• Prioritize customer requests globally
• Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
• Provide leadership for methodologies, strategies, standards, tools, and best practices
• Must be able to travel to the EU, USA, China, and Taiwan; (after covid-19 restrictions lift)

Required skills and experience

• A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
• Proven track record in technical roles with Linux, preferably Ubuntu or Debian
• Commitment to development and testing methodologies, and maintainable code quality
• Experience with management responsibilities
• Ability to work collaboratively in a team environment
• Ability to be productive in a globally distributed team through self-discipline and self-motivation
• Commitment and energy to deliver on schedule
• Strong English and Chinese language communication skills, both written and verbal

Desirable skills and experience

• Making technical decisions for a team as a tech lead
• Software architecture and design experience
• Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
• Participation in open-source development projects
• Experience with CI/CD

Canonical is an equal opportunity employer

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

#LI-ET1 #stack

The role of a Silicon Alliances Ecosystem Development Manager at Canonical

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.

What your day will look like 

• Represent Canonical, its solutions and software to partners.
• Develop a deep understanding of silicon partner strategies, technologies and roadmaps and identify overlap with Canonical’s current and future products.
• Work cross-functionally with engineering, product, marketing and sales teams to facilitate new business, leading definition of joint products, solutions and complex programs relying heavily on your communicating and influencing skills.   
• Ensure that robust project plans are created, tracked, and executed. 
• Develop joint Go To Market strategy and campaigns with silicon partners, manage market messaging, collateral and launch plans across products.
• Negotiate successful contracts.

What we are looking for in you

• B.A / B.S / B.E degree in science, technology and/or engineering.
• Fundamental understanding of the semiconductor industry and ecosystem.
• Experience in software and system architecture is preferred.
• Customer-facing experience in business development, technology strategy or similar functions.
• Excellent communication skills; ability to grasp complex material and synthesize key points.
• Ability to think and work at both strategic and tactical levels
• Disciplined and self motivated for a remote-first workplace environment.

Additional skills that you might also bring

• Experience with open source software and open source business models is preferred.
• Team leadership or program management experience.

What we offer you

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.

• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

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.

Canonical is an equal opportunity employer

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.

#LI-remote 

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

Responsibilities

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

About you

[Minimum qualifications]

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

[Preferred qualifications]

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

#LI-AK1

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

Responsibilities

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

About you

[Minimum qualifications]

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

[Preferred qualifications]

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

#LI-AK1

介紹 GNTC 團隊

Dcard GNTC 團隊致力於打造企業級 AI 工作平台，讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具，更是每個團隊成員的智能助手，能夠深度整合企業資料與流程，協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台，使企業夥伴可以提升決策與洞察 、加速企劃產出 ，並且能透過 Agent 自動化處理例行任務，讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標，我們需要 Forward Deployed Engineer 加入我們，你將駐點或遠端與企業客戶深度合作，從業務需求拆解、原型設計，到雲端部署與維運，端到端交付生成式 AI 解決方案。歡迎加入這個熱愛挑戰的技術團隊，一起打造被千萬人喜愛與使用的產品！

你將在團隊參與⋯

• 基於 Dcard GNTC Agent 平台設計技術方案，並以現場 (on site) 或遠端 (remote) 的方式與企業客戶深度合作，從業務需求拆解、原型設計，到雲端部署與維運，端到端交付生成式 AI 解決方案。
• 與客戶 BU／IT 團隊進行訪談，定義 Problem Statement 與 KPI
• 負責理解用戶現行流程與痛點，並提出可行的技術解決方案。以 TypeScript（或 Python）實作 API／MCP／Agent 等 Workflow，協助用戶在其既有系統中導入與整合。
• 撰寫技術白皮書、實踐手冊 (Playbook)，回饋產品 Roadmap 與最佳實踐 (best practice)

我們期待看到一個優秀的 Forward Deployed Engineer 具備以下能力

• 3+ 年軟體開發與系統整合經驗
• 熟悉以下技術：

1. Python、Golang 或 TypeScript 任一
2. 理解 MCP（Model Context Protocol）規格，並具實際開發或整合經驗
3. 能熟練操作 Linux（部署、自動化腳本）
4. 理解基本 Networking（DNS、TCP/IP、Load Balancing、Service Mesh 更佳）
5. Cloud-Native & Container（Kubernetes、Docker）

• 優秀問題拆解、客戶溝通能力，能以中英文撰寫文件並進行技術簡報

如果你擁有以下能力，那就更棒了！

• REST / gRPC API 設計
• Relational / NoSQL / Vector DB
• Prompt Engineering、Context Engineering、RAG、LLM-based Workflow Automation
• 顧問式專案或駐點交付經驗（Forward Deployed / Professional Services）
• 熟悉 ISO 27001、GDPR、SOC 2、HIPAA 等資安與合規需求
• 使用 LangChain、LlamaIndex、OpenAI Function Calling、Fine-tuning / LoRA 經驗
• ML Ops / Data Ops / Infra-as-Code 專案實戰

薪資待遇

• 面議

注意事項

• 如果團隊覺得有機會合作，一起讓 Dcard 往更高的目標邁進，我們會儘速聯絡您！
• 若不符合職位需求的面試者，將不另行通知。
• 如果尋找到合適的人選加入，職缺可能會提前關閉。
• 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
• 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境

狄卡科技股份有限公司及其關係企業基於「員工招募」之目的，將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料，或您主動為求職目的而提供的資料（履歷、自傳等），以在招募期間及地區內，作為本次招募作業審核、評選、聯繫之用。如您未獲錄取，我們仍將保留您的資料以便向您通知新的職缺機會。

您得以致電狄卡科技股份有限公司及其關係企業（電子信箱：hr.ta@dcard.cc）行使請求查閱、補充、更正；請求提供複製本；請求停止蒐集、處理、利用；請求刪除個人資料等權利。如您未正確、完整提供各項資料，將可能影響聘用審核、評選或聯繫。

Summary: Join a leading DeFi protocol with high Total Value Locked (TVL) as a DevOps Engineer, ensuring 24/7 uptime and seamless operations. This role involves designing CI/CD pipelines and managing cloud security to support a robust and secure infrastructure within the fintech industry.

Responsibilities:

• Design and implement CI/CD pipelines to streamline deployment processes.
• Manage and enhance cloud security measures to protect against potential threats.
• Ensure 24/7 system uptime and reliability for a major DeFi protocol.
• Collaborate with cross-functional teams to implement best practices in DevOps and security.
• Monitor and optimize system performance and cost-efficiency.
• Automate infrastructure provisioning using tools like Terraform.

Required Skills:

• Mastery of Docker, Kubernetes (K8s), and Terraform.
• Proven experience in a fintech environment with high security standards.
• Strong expertise in cloud security and CI/CD pipeline design.
• Excellent problem-solving skills and attention to detail.
• Ability to work in a high-paced, 24/7 operational environment.

Summary: Join as a Backend Developer at a leading decentralized middleware protocol company. Your role will focus on managing distributed validator sets and automating infrastructure through Infrastructure as Code (IaC) for Web3 developers. You will play a vital part in automating and streamlining processes, enhancing the efficiency and scalability of our operations.

Responsibilities:

• Develop and maintain backend services using Go programming language.
• Manage distributed validator sets to ensure optimal performance and reliability.
• Automate infrastructure deployment and management using Kubernetes (K8s), Terraform, and AWS.
• Collaborate with cross-functional teams to design, develop, and deploy scalable Web3 solutions.
• Monitor and troubleshoot system performance and security issues.
• Contribute to architecture and design discussions to optimize technology stack and processes.

Required skills:

• Strong proficiency in the Go programming language.
• Expertise in Kubernetes (K8s) for container orchestration and management.
• Hands-on experience with Terraform for infrastructure automation.
• Solid understanding of AWS cloud services and infrastructure management.
• Experience in managing distributed systems and validator sets.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to work collaboratively in a team setting.

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

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 (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 are looking for a Machine Learning Engineer Intern 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.

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.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

What You’ll Work On

• Assist in operating robust ML job execution frameworks for training, inference, and post-processing.
• Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features

What We’re Looking For

[Minimum qualifications]

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 2+ years of experience in ML or engineering
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

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 Ad Cloud  Serving Services Team

At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation.

Responsibilities

• Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure.
• Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem.
• Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture.
• Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs.
• Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration.
• Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation.
• Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies.
• Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services.
• Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing.

About You

[Minimum Qualifications]

• 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
• Proficient in one or more of the following languages: Go, Python.
• Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
• Good understanding of Network API Design (e.g., RESTful APIs, gRPC) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines.
• Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies.
• Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation.
• Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.

[Preferred Qualifications]

• BS/MS degree in Computer Science or a related field.
• Demonstrated ability to refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization.
• Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration.
• Hands-on experience with deploying and serving machine learning models in production environments.
• Exposure to ad-tech or recommendation systems is a plus.

#LI-AK1

介紹 GNTC 團隊

Dcard GNTC 團隊致力於打造企業級 AI 工作平台，讓企業都能透過 AI 提升工作效率、創造更高價值。
我們相信 AI 不只是工具，更是每個團隊成員的智能助手，能夠深度整合企業資料與流程，協助團隊做出更精準的決策、產出更高品質的成果。我們提供全方位的企業 AI 工作平台，使企業夥伴可以提升決策與洞察 、加速企劃產出 ，並且能透過 Agent 自動化處理例行任務，讓團隊專注於更具創造性與決策價值的工作。
為了達成這個目標，我們需要 Senior Backend Engineer 加入我們，負責 Dcard GNTC 企業 Agent 平台的後端架構設計、AI 模型整合與系統開發。你將專注於打造穩定、可擴展的生成式 AI 後端服務，為企業客戶提供強大的技術支撐。

你將在團隊參與⋯

• 設計與開發 Dcard GNTC Agent 平台的後端系統
  • 設計並實作 MCP Server、API、AI Workflow
  • 整合 LLM、Vector Database、RAG 等 AI 技術
  • 優化系統效能、可靠性與可擴展性
• 根據產品規劃與客戶需求，設計並實作技術方案
  • 參與技術方案討論，根據時程、成本、技術可行性提出建議
  • 將產品需求轉化為清晰的技術架構與實作
• 持續改善平台架構與開發體驗
  • 全面瞭解整體系統架構，識別並優化架構
  • 建立可復用的技術元件與最佳實踐
  • 改善 CI/CD、監控、部署流程
• 技術研究與知識分享
  • 持續學習 Agent 相關知識與新技術，評估並導入適合的技術
  • 在團隊內部進行技術分享與文件撰寫

我們期待看到一個優秀的 Senior Backend Engineer 具備以下能力

• 5+ 年軟體開發經驗，具備獨立負責後端系統的設計與交付能力
• 熟悉以下技術：
  • 精通 TypeScript
  • 熟悉 Python
  • MCP（Model Context Protocol）開發與整合經驗
    • 理解 MCP 的架構與運作原理
    • 實際開發過 MCP Server 或 Client
    • 能設計企業級 MCP 整合方案
  • LLM 應用開發：深入理解 Prompt Engineering、Context Engineering、RAG（Retrieval-Augmented Generation）
    • LLM-based Workflow Automation 與 AI Agent 開發經驗
  • LangChain、LlamaIndex、Vercel AI SDK 或其他 AI 開發框架
  • REST / gRPC API 設計與開發
  • Relational / NoSQL Database 使用經驗
  • Vibe Coding
  • 能熟練操作 Linux（部署、自動化腳本）
  • 理解 Networking 基礎（DNS、TCP/IP、WebSocket、SSE、Load Balancing）
  • Cloud-Native & Container（Kubernetes、Docker）

如果你擁有以下能力，那就更棒了！

• OpenAI Function Calling、Assistants API 深度使用經驗
• Vector Database 使用經驗（如 Pinecone、Qdrant、Weaviate、Milvus）
• 有開發 AI Agent 或 Multi-Agent System 經驗
• 熟悉 Service Mesh（如 Istio、Linkerd）
• Infrastructure-as-Code（Terraform、Pulumi）專案經驗
• 在技術社群有活躍貢獻（開源專案、技術文章、Conference 演講）

薪資待遇

• 面議

注意事項

• 如果團隊覺得有機會合作，一起讓 Dcard 往更高的目標邁進，我們會儘速聯絡您！
• 若不符合職位需求的面試者，將不另行通知。
• 如果尋找到合適的人選加入，職缺可能會提前關閉。
• 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
• 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境

狄卡科技股份有限公司及其關係企業基於「員工招募」之目的，將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料，或您主動為求職目的而提供的資料（履歷、自傳等），以在招募期間及地區內，作為本次招募作業審核、評選、聯繫之用。如您未獲錄取，我們仍將保留您的資料以便向您通知新的職缺機會。

您得以致電狄卡科技股份有限公司及其關係企業（電子信箱：hr.ta@dcard.cc）行使請求查閱、補充、更正；請求提供複製本；請求停止蒐集、處理、利用；請求刪除個人資料等權利。如您未正確、完整提供各項資料，將可能影響聘用審核、評選或聯繫。

Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方，讓平凡人分享不平凡故事的新世代社群服務。面對快速變化的社群生態，我們期待更多優秀的人才加入 Dcard。

為了達成這個目標，我們需要 Machine Learning Team Lead 加入我們，你將帶領 Dcard 的機器學習團隊，透過大規模使用者數據中發掘洞察，持續提升使用者體驗及產品黏著度。歡迎加入這個熱愛挑戰的技術團隊，一起打造被千萬人喜愛與使用的產品！

你將在團隊參與⋯

• 帶領 Dcard 機器學習團隊，制定並推動團隊目標。
  • 與產品及商業團隊密切合作，確保模型設計、資料流程與系統建構，高度對齊 Dcard 社群、廣告產品策略，並支持團隊成員的職涯發展與技能成長。
  • 負責推薦演算法的設計、開發與優化，並驅動推薦系統的技術創新，包含模型訓練、Feature pipeline 設計、個人化推薦策略，以及系統穩定性維護。
• 與 Infrastructure 及其他 ML/Engineering 等團隊緊密合作，共同建置 Dcard 機器學習相關系統。並從大量使用者數據中分析、挖掘洞察，以迭代演算法並優化產品體驗。
• 與團隊成員及公司技術高階主管共同制定技術發展願景與中長期 Roadmap，持續提升團隊技術力與影響力。

我們期待看到一個優秀的 Machine Learning Team Lead 具備以下能力

• 具備出色的技術領導能力，至少 1 年以上 Engineering Manager 的經歷或兩年以上工程專案管理經驗，曾經帶領不同技術背景、不同職能的夥伴達成共同目標。
• 五年以上軟體開發經驗，熟悉軟體專案開發與設計原則 (如 design principle, software architectures）。
• 熱愛思考使⽤者的需求，動手將演算法打造成產品。
• 精通 Python，並對學習新技術持開放態度，具備良好的軟體工程實踐經驗。
• 了解機器學習演算法及工作流程，例如 NLP、Deep Learning、Recommendation System 等。
• 重視程式品質與系統可維護性，面對需求能夠提出最小可行性系統架構及了解其中的 tradeoff。
• 具備良好的溝通與跨部門協作能力，能清楚表達技術決策、引導團隊對齊方向，並與其他團隊順利合作。

如果你擁有以下能力，那就更棒了！

• 有 Tech Lead 經驗或系統架構師經驗。
• 面對不熟悉的議題（非技術相關，如人事或組織議題），能夠拆解問題並思考討論解決方案。
• 具有高流量或者大型系統開發經驗。
• 能夠執行高品質的 code review or design review。
• 熟悉分散式系統設計，能夠處理巨量資料或開發大型系統。
• 熟悉機器學習系統商業應用場景、系統設計。
• 能夠解決主流 ML framework 在巨量資料開發時遇到的問題。
• 熟悉以下其中幾項技術：
  
  • PyTorch / Scikit-Learn / XGBoost / Tensorflow
  • Airflow
  • GCP / Kubernetes
  • SQL / NoSQL / Redis
  • Linux

薪資待遇

• 面議

注意事項

• 若不符合職位需求的面試者，將不另行通知。
• 如果尋找到合適的人選加入，職缺可能會提前關閉。
• 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
• 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境。

狄卡科技股份有限公司及其關係企業基於「員工招募」之目的，將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料，或您主動為求職目的而提供的資料（履歷、自傳等），以在招募期間及地區內，作為本次招募作業審核、評選、聯繫之用。如您未獲錄取，我們仍將保留您的資料以便向您通知新的職缺機會。

您得以聯繫狄卡科技股份有限公司及其關係企業（電子信箱：hr.ta@dcard.cc）行使請求查閱、補充、更正；請求提供複製本；請求停止蒐集、處理、利用；請求刪除個人資料等權利。如您未正確、完整提供各項資料，將可能影響聘用審核、評選或聯繫。

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers. 

• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers. 

• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.). 

• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control. 

• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM. 

• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA). 

• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection). 

• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications. 

• Vector Database: Experience with Vector DBs for RAG applications. 

Other Benefits 

To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter. 

Work Life Balance is a must  

• 15 days annual leaves (pro-rata for partial month at first year) 
• 5 days full-pay sick leaves, 3 days menstrual leaves 
• Health check subsidy 
• Ergonomic-design chair and fully-equipped devices for work
• Hybrid remote work and flexible working hour.

Grow together & keep learning

• Conferences & external subsidy 
• Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc) 

Work Hard, Play even Harder 

• Various entertainment & sports clubs, attend basketball clubs today, and play board game tomorrow! 
• Snacks & beverage to refill your energy anytime 

WOO X is a global centralised crypto futures and spot trading platform offering best-in-class liquidity and price execution. WOO X has an average daily volume exceeding $1.5 billion and is home to hundreds of thousands of traders worldwide. WOO X traders benefit from radical transparency through our industry-first live Proof of Reserves & Liabilities dashboard and the company's mission to maintain the trust of its growing community of traders. Our team of about 180 highly talented employees works from 12 cities across eight countries in Europe and Asia 🚀

WOO X is a global centralised crypto futures and spot trading platform offering best-in-class liquidity and price execution. WOO X has an average daily volume exceeding $1.5 billion and is home to hundreds of thousands of traders worldwide. WOO X traders benefit from radical transparency through our industry-first live Proof of Reserves & Liabilities dashboard and the company's mission to maintain the trust of its growing community of traders. Our team of 200+ highly-talented employees works from 12 cities across eight countries in Europe and Asia 🚀

Our vision is to inspire confidence, higher performance, and joy in every user. We have a mission to provide the best liquidity on the best terms. We compete not just on price execution but also on integrity, user experience, innovative tools, and global opportunities.

About the opportunity:

We are looking for a Staff / Senior Backend Engineer who can join us along this mission and vision. You’ll become an integral part of the Backend team, responsible for all the development of the backend services that support our WOO X and internal tools 7*24. The heroes keep improving the performance of our trading system and optimising the stability and scalability of our whole ecosystem. Interested? Keep on reading!

What you’ll be working on:

• Design, build, and optimize backend services for a high-performance, low-latency trading platform.
• Develop and maintain robust, scalable APIs (RESTful and WebSocket) using Java + Spring Boot, supporting real-time trading and market data.
• Architect and implement highly concurrent systems that ensure 24/7 system reliability and throughput.
• Collaborate closely with cross-functional teams (Product, Business, DevOps) to align technical solutions with business goals.
• Troubleshoot complex production issues, identify root causes, and propose effective, scalable fixes.
• Contribute to system architecture and design discussions, and promote best engineering practices through code reviews and technical mentorship.
• Demonstrate potential for technical leadership, with the ability to drive initiatives and influence technical direction across the team.

Why work with us:

Join us in realising our vision in advancing decentralisation, and leading innovation in CeFi. Enjoy work flexibility, a supportive team, and an environment that nurtures your ideas. Plus, expect a performance-based annual bonus for all contributors at WOO 💪

About you:

• 5+ years of backend development experience, with deep proficiency in Java and Spring Boot / Spring Cloud.
• Strong knowledge of multithreading, concurrency models, and asynchronous programming.
• Experience building high-concurrency, high-availability backend systems in production environments.
• Familiar with message brokers (e.g., Kafka, RocketMQ), databases (MySQL/PostgreSQL), and in-memory stores (e.g., Redis).
• Solid experience with containerized environments (Docker, Kubernetes) and Linux-based systems.
• Proven track record of independently solving complex backend/system-level problems.
• Excellent communication skills and ability to work effectively with cross-functional stakeholders.
• Previous experience in financial services, trading systems, or crypto exchanges is a strong plus.
• Experience mentoring others or demonstrated potential for technical leadership is a significant advantage.

Getting the job

We're actively seeking talented individuals to join our team outside of our typical hiring schedule. This proactive approach allows us to connect with exceptional candidates like you even before specific positions become available.

On average, successful candidates go through five rounds of interviews and tests. Our hiring process begins by meeting with our People Team, who help facilitate the process of placing you in your new role. You can expect to share your experience and ideas in online video interviews with our hiring team, made up of management and potential new colleagues.

Submitting your resume now ensures that you're first in line when new opportunities arise. By doing so, you'll have a head start in the selection process and get a chance to showcase your skills and experience.

Get started on your application here!

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 the role 

We are looking for a talented Machine Learning Engineer to join our Product Core Engineering team. You will be responsible for building and optimizing machine learning workflows that directly power our AI-driven products. This role focuses on the full lifecycle of model development — from training and fine-tuning to deployment and monitoring — ensuring robust and efficient ML systems at scale.

Why Join Us?

• Product Impact: Your work will be directly embedded in our core AI products, shaping user experience and product capabilities.
• Engineering Excellence: Be part of a team that values high-quality engineering, reproducibility, and scalability.
• Innovation: Opportunity to experiment with cutting-edge ML and GenAI technologies in production settings.
• Collaboration: Work alongside backend, platform, and product teams in a highly collaborative environment.
• Competitive Package: Receive attractive compensation and benefits aligned with your skills and performance.

Key Responsibilities

• Model Development: Design and implement training processes for machine learning classifiers and generative models.
• Fine-tuning & Prompting: Adapt pre-trained models to specific product needs through fine-tuning, prompt engineering, and parameter optimization.
• Hyperparameter Management: Configure and tune hyperparameters to balance accuracy, robustness, and performance.
• Pipeline Engineering: Build scalable training and evaluation pipelines to support continuous experimentation.
• Integration: Collaborate with backend and product engineers to deploy models into production systems.
• Monitoring & Maintenance: Establish monitoring metrics and retraining strategies to maintain model performance in dynamic environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• Proven experience in training classifiers and fine-tuning transformer-based models.
• Strong understanding of tokenization techniques, embedding models, and vector representations.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
• Familiarity with hyperparameter tuning and model configuration best practices.
• Experience working with large-scale datasets and building reproducible ML pipelines.
• Fluent in Mandarin; proficiency in English is an advantage.

Desired Skills

• Knowledge of cloud platforms (AWS, Azure, GCP) and containerized deployment (Docker, Kubernetes).
• Experience with LLM prompting and fine-tuning is a plus.
• Basic understanding of data engineering practices (ETL, data validation, feature engineering).
• Exposure to AI safety, security, or bias mitigation techniques is an advantage.

Other Benefits 

To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter. 

Work Life Balance is a must  

• 15 days annual leaves (pro-rata for partial month at first year) 
• 5 days full-pay sick leaves, 3 days menstrual leaves 
• Health check subsidy 
• Ergonomic-design chair and fully-equipped devices for work
• Hybrid remote work and flexible working hour.

Grow together & keep learning

• Conferences & external subsidy 
• Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc) 

Work Hard, Play even Harder 

• Various entertainment & sports clubs, attend basketball clubs today, and play board game tomorrow! 
• Snacks & beverage to refill your energy anytime 

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

• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation.
• Design and monitor data infrastructure using PostgreSQL and other databases.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with ML scientists to turn research outputs into user-facing product features
• Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products

What We’re Looking For (Minimum)

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards.
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
• Experience in cross-functional collaboration and leading projects 
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

What We’re Looking For (Preferred)

• Industry experience in the MarTech domain, with a strong passion for building customer-centric products
• Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Familiarity with distributed computing frameworks (e.g., Apache Spark)
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

#LI-AK1

About Appier

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

About the role

Appier is seeking Software Engineers, Quality Assurance to ensure continuous delivery of high-quality system. You will collaborate with engineers to design comprehensive testing plans for a variety of systems, including high-traffic distributed systems, machine learning algorithms, big data platforms, and frontend systems. You will excel in defining effective test strategies and developing automation solutions tailored to different system architectures.

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

Responsibilities

• Collaborate with product teams to review feature requirements and specifications, designing robust test plans, strategies, and executing tests with clear, actionable reports.
• Work closely with developers to enhance testability, develop testing utilities, and provide QA-driven test cases ahead of feature readiness.
• Ensure the highest quality and performance standards for Appier products through rigorous testing.
• Accurately report and validate product bugs, driving continuous improvement.
• Develop scalable and reliable automated tests and test frameworks for products built on micro-service architectures.
• Oversee and monitor the release process, executing necessary tests to ensure feature delivery meets quality benchmarks.

About you

[Minimum qualifications]

• Solid understanding of software development methodologies (Agile, Waterfall).
• Better in software testing processes, including test planning, test case development, and troubleshooting.
• Proficient communication skills and a collaborative mindset, with a willingness to share knowledge within the team.
• Minimum 2 years of hands-on experience with at least one test automation tool  (e.g., Python, Java, Robot Framework, Pytest, Cypress, Selenium, JMeter or Locust).
• Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf to enhance coding efficiency, streamline debugging, and facilitate code refactoring. Familiarity with these tools is essential to our workflow.
• Experience integrating and utilizing CI/CD tools.
• Quick learner with good troubleshooting abilities and keep attention to detail.

[Preferred qualifications]

• Experience in one of cloud service platforms. (e.g., AWS, GCP, Azure, Kubernetes)
• Excellent skills in data integrity tests or data quality.
• Experience in performance tests for SaaS products (e.g., Load test, Spike test, Stability test)
• Experience in system monitoring tools or system health dashboard (e.g., Grafana, Kibana, Prometheus)
• Experience in building automation testing for the architecture of micro-services
• Experience / Knowledge in the test for Big data, Machine Learning, Data analysis.
• Fluent English communication skills, both verbal and written.

Job Overview 

We are seeking a self-driven Principal Site Reliability Engineer with a strong technical background and excellent communication skills. This individual will lead the development, construction, and management of reliable and distributed systems that support our business operations. 
 
In this role, you will play a vital part in supporting the following businesses: 

• Requirements

• 8+ years technical experience in software engineering, network engineering, or systems administration 

• 6+ years of experience running large scale cloud services. 

• 2+ years of SRE team leadership role. 

• Fluent in English at a business level or higher. 

• Capable of planning infrastructure upgrades and optimizations. 

• Skilled in budget planning and ensuring cloud expenses remain within the allocated budget. 

• Skilled in OKR planning and ensuring the key results meet with company objectives. 

• Advanced knowledge of monitoring solutions like Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana). 

• Experience in the complete software development life cycle (SDLC). 

• In-depth understanding of network concepts, particularly with a focus on security. 

• Hands-on experience implementing GitLab CI/CD processes. 

• Proficiency in automation platforms like Ansible and Terraform. 

• Knowledge of orchestration tools like Kubernetes. 

• Familiarity with container technologies like Docker. 

• Experience with Git source code version control systems. 

• Experience with AI pair programming like OpenAI. 

• Proficiency in programming languages such as Bash, Python, or Go. 

• Team player and good interpersonal skills. 

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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