About The Role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing business within existing accounts. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth.

We are looking to speak to candidates who are based in Taipei for our hybrid working model.

MongoDB’s Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

Responsibilities

• Proactively prospect, identify, qualify and develop a sales pipeline
• Close business to meet and exceed monthly, quarterly, and annual bookings objectives
• Build strong and effective relationships, resulting in growth opportunities
• Participate in our sales enablement training, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs
• Work closely with the Professional Services team to achieve customer satisfaction

Requirements

• BA/BS required
• 7+ years of field experience in quota-carrying experience in a fast-paced and competitive market with a focus on new business
• Demonstrated ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases develops and open source technology a plus
• Driven and competitive: Possess a strong desire to be successful
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Fluent in English.
• Must live in Taiwan
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

*MongoDB is an equal opportunities employer*

At MongoDB, our Sales Development organisation works closely with our partners in both Sales and Marketing to build fanatical customer enthusiasm around MongoDB. Sales Development Representatives (SDRs) are responsible for identifying and qualifying new opportunities for our Enterprise and Corporate sales organisations.

We view our Sales Development program as the best way to turbocharge a long and successful career in sales and view our Growth Development Representatives as the next wave of Account Executives at MongoDB. 

We are looking to speak to candidates who are based in Taiwan for our hybrid working model.

The Opportunity

Being a SDR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our SDRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here.

Our SDRs gain an understanding of our product, community, who we sell to, why they care, and what makes us relevant. They learn how to generate a pipeline quickly and effectively as well as how to achieve a good discovery and qualification. The team is a crucial resource for sales teams across MongoDB to get great talent from. This helps us scale our teams, as well as ensure that we have a culture of meritocracy.

Day to Day

• Identify high-potential businesses that would be a good fit to work with MongoDB across your region
• Work with the Sales team to develop and lead inbound and outbound campaigns from idea-generation through to qualified call
• Develop strong sales and product knowledge
• Interact with IT and business decision makers via telephone and email
• Update lead and prospect activity in Salesforce to ensure effective lead management
• Run customer calls to qualify potential opportunities and set introductory meetings for the Sales team
• Nurture early phase opportunities for future pipeline potential
• Exceed monthly and quarterly opportunity quota
• Build strong relationships with our marketing team and Account Executives, where we pull together to maximize the win for our business
• Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and get you set for future success

What You Will Bring to the Table

• A self-starter with a track record of hitting and exceeding goals
• Outstanding communication skills
• Time management skills and ability to work either independently or through coaching
• Desire to work in a fast-paced and high growth environment
• Passionate about cutting-edge technology with the aptitude to learn new and exciting IT software products, as well as, understand business critical solutions quickly 
• Written and spoken fluency in English and (__REGION SPECIFIC__) 

Things We Love

• Strong and progressive academic background
• Familiarity with database, web server, and open source technology
• Working experience with Salesforce.com

Why You Should Apply

• Great Earning Potential 
• Welcoming and inclusive workplace Meet MongoDB’s Employee Affinity Groups!
• Continuous career development
• Sales training in MEDDIC and Command of the Message
• Benefits include: 
• Sales Bootcamp
• Internal mentor and buddy program cross-departmentally

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

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

About Appier 

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

About the role

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

The Role

The Senior Solutions Engineer at Rhombus Power is an experienced technical leader responsible for driving the architecture and deployment of our most complex AI-powered solutions. You will leverage significant previous solutions engineering experience to solve global business and national security challenges. This role requires a seasoned software generalist capable of operating independently to deliver production-grade code across the full stack (DevOps, frontend, and backend) while serving as a trusted technical advisor to senior customer stakeholders. You will bring effective, real-world solutions to life for our biggest clients.

Responsibilities

• Lead the technical architecture, design, and implementation phases of large-scale AI solution deployments with strategic national security partners.
• Act as the subject matter expert on all Rhombus Power products and technologies, providing deep technical consultation to influence partner strategy and optimize solution effectiveness.
• Be a highly autonomous software generalist, quickly developing, iterating, and deploying high-quality, full-stack code (DevOps, backend systems, and sophisticated frontend UIs) to meet evolving mission needs.
• Mentor and provide technical guidance to junior Solutions Engineers, fostering best practices for coding, integration, and customer engagement.
• Work closely with Rhombus Power Product Managers and Engineering teams to synthesize complex customer requirements and directly influence the development of new products and platform features.
• Lead complex troubleshooting efforts and technical deep dives to ensure system reliability and performance in mission-critical environments.
• Travel to customer sites for deployment leadership, high-level technical consultation, and operational oversight.
•  

Qualifications

• A minimum of 7 years of total professional work experience in software engineering, technical consulting, or a related field.
• Significant previous experience (3+ years preferred) in a Solutions Engineering, Forward Deployed Engineering, or similar customer-embedded role, focusing on complex enterprise software.
• Expert-level command as a software generalist, capable of architecting and implementing solutions across the technology stack (DevOps, backend, and frontend).
• Deep proficiency in modern programming languages, cloud technologies (e.g., AWS, Azure, GCP), data pipelines, and security best practices.
• Experience with Linux/Unix systems and system administration
• Proven ability to lead technical discussions, manage complex stakeholder relationships, and drive major projects to successful completion in fast-paced environments.
• Exceptional problem-solving skills and the capacity to translate high-level mission objectives into concrete, technical solutions.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.

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. 

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.

This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

What You Will Do:

• Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
• Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
• Train and deploy machine learning models on both in-house and cloud-based platforms.
• Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
• Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
• Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
• Create a data pipeline to ensure data availability and quality.
• Interpret and present your data story to marketing leadership.
• Foster an analytic culture as part of a growing data team.

Basic Qualifications

• 5+ years’ working experience in machine learning.
• 3+ years’ working experience in SQL.
• 3+ years’ working experience in Python.
• Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
• Strong critical thinking and problem-solving skills.
• Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
• Strong communication skills to share analysis results in clear and concise manners.
• Proficiency in both Mandarin and English (both verbal and written).

Preferred Qualifications:

• Experience in retail / E-commerce industries.
• Experience in growth marketing and CRM function. 
• Master’s degree in business analytics, data analytics, data science or equivalent experience.
• Experience in data ETL and data engineering.
• Experience in AWS or GCP.
• Strong English skills (both verbal and written).

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have

submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns. This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

What You Will Do:

• Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
• Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
• Train and deploy machine learning models on both in-house and cloud-based platforms.
• Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
• Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
• Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
• Create a data pipeline to ensure data availability and quality.
• Interpret and present your data story to marketing leadership.
• Foster an analytic culture as part of a growing data team.

Basic Qualifications

• 5+ years’ working experience in machine learning.
• 3+ years’ working experience in SQL.
• 3+ years’ working experience in Python.
• Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
• Strong critical thinking and problem-solving skills.
• Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
• Strong communication skills to share analysis results in clear and concise manners.
• Proficiency in both Mandarin and English (both verbal and written).

Preferred Qualifications:

• Experience in retail / E-commerce industries.
• Experience in growth marketing and CRM function. 
• Master’s degree in business analytics, data analytics, data science or equivalent experience.
• Experience in data ETL and data engineering.
• Experience in AWS or GCP.
• Strong English skills (both verbal and written).

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have

submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.

This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

What You Will Do:

• Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
• Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
• Train and deploy machine learning models on both in-house and cloud-based platforms.
• Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
• Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
• Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
• Create a data pipeline to ensure data availability and quality.
• Interpret and present your data story to marketing leadership.
• Foster an analytic culture as part of a growing data team.

Basic Qualifications

• 5+ years’ working experience in machine learning.
• 3+ years’ working experience in SQL.
• 3+ years’ working experience in Python.
• Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
• Strong critical thinking and problem-solving skills.
• Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
• Strong communication skills to share analysis results in clear and concise manners.
• Proficiency in both Mandarin and English (both verbal and written).

Preferred Qualifications:

• Experience in retail / E-commerce industries.
• Experience in growth marketing and CRM function. 
• Master’s degree in business analytics, data analytics, data science or equivalent experience.
• Experience in data ETL and data engineering.
• Experience in AWS or GCP.
• Strong English skills (both verbal and written).

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have

submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns. This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

What You Will Do:

• Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
• Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
• Train and deploy machine learning models on both in-house and cloud-based platforms.
• Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
• Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
• Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
• Create a data pipeline to ensure data availability and quality.
• Interpret and present your data story to marketing leadership.
• Foster an analytic culture as part of a growing data team.

Basic Qualifications

• 5+ years’ working experience in machine learning.
• 3+ years’ working experience in SQL.
• 3+ years’ working experience in Python.
• Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
• Strong critical thinking and problem-solving skills.
• Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
• Strong communication skills to share analysis results in clear and concise manners.
• Proficiency in both Mandarin and English (both verbal and written).

Preferred Qualifications:

• Experience in retail / E-commerce industries.
• Experience in growth marketing and CRM function. 
• Master’s degree in business analytics, data analytics, data science or equivalent experience.
• Experience in data ETL and data engineering.
• Experience in AWS or GCP.
• Strong English skills (both verbal and written).

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have

submitted false information as part of the application process.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

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

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 Security Engineer (AI) 加入我們，找出 Dcard 潛在的漏洞，預防可能發生的資安問題，提供給使用者可以放心交流的社群服務。

為什麼你該加入 Dcard？

Dcard 產品從抽卡延伸至社群論壇、廣告等，服務對象從大學生到所有年輕人。我們正在以成長型思維打造一個快速成長、持續擴展影響力的組織。團隊聚焦長期使命願景與戰略，一同專注目標並持續突破。我們面向世界，在不同領域創造更多的發展與機會，也不滿足於現有版圖。每天都有數以萬計想要分享與閱讀故事的人在 Dcard 上交流，你將有機會提供客戶接觸到龐大的使用者，為客戶提供更多的價值與服務。我們需要你的加入幫助 Dcard 在更多領域提供價值給使用者！

簡單介紹 Security 團隊

Dcard 資安團隊高度密集地與開發團隊、IT 合作，找出系統潛在的漏洞與風險。你將透過真實的駭客手法找出系統潛在的漏洞與風險，並協助開發團隊修補問題。主動了解新型態的攻擊手法與漏洞消息，提昇團隊安全意識，並且對新開發項目或目前架構提供安全架構設計 (Security Architecture and Design) 或程式碼審查 (Secure Source Code Review)。隨著 Dcard 持續將 AI 整合至產品與服務中，你也將負責評估 AI 產品的安全性，並運用 AI 工具與技術來加速、甚至自動化資安工作流程。

你將在團隊參與⋯

• 對 Dcard 及 AI 產品功能進行安全評估、威脅建模與滲透測試，確保 AI 系統從設計到部署符合安全標準。
• 運用 AI 工具高度輔助日常資安工作，建立與 AI 深度協作的工作流程（如漏洞挖掘、程式碼審查、警報分類與處理、漏洞修補），提升團隊整體效率與覆蓋率。
• 開發或整合 AI 驅動的資安工具至 CI/CD 流程中，因應快速迭代的開發節奏，實現自動化且規模化的安全檢測。
• 熟悉相關系統的基礎架構與既有資安防護機制。
• 嘗試找出既有系統漏洞，並與開發團隊討論如何修複。
• 全面瞭解整體的架構，跟據目前實作改善架構來提昇防護能力。
• 持續學習新技術、主動分享資安新知來提升團隊資安水準。

我們期待看到一個優秀的 Security Engineer (AI) 具備以下能力

• 具有滲透測試的相關經驗，能運用 AI 輔助漏洞挖掘，提升漏洞偵測率並降低誤報
• 熟悉作業系統、各式網站系統與資料庫弱點原理，並能運用 AI 工具加速弱點分析與驗證
• 至少熟悉一種主流網頁程式語言 (PHP、Node.js、Golang、Python、Java 等)，並具有程式碼安全審查能力 (Secure Source Code Review)，能結合 AI 輔助進行大規模程式碼審查
• 熟悉一種 Script (例如 Shell Script、Python、Ruby 等等)，能用來建置自動化資安工作流程與 AI 整合腳本
• 熟悉滲透測試、弱點掃描、系統掃描，善用各式資安分析與檢測工具 (Burpsuite、Fiddler、Charles 等)，並能評估與導入 AI 驅動的檢測工具
• 理解 AI 的安全風險與攻擊面，能對其進行安全評估及安全架構設計

如果你擁有以下能力，那就更棒了！

• 了解 AI 相關協定（如 MCP、Agent2Agent）的底層運作原理，能從資安角度評估其風險並設計防護機制，並能撰寫 Security Skills 提升工作效率
• 熟悉任一 Cloud Service (例如 GCP、AWS、Azure)，熟悉 Cloud Security 更佳
• 有漏洞通報經驗 (CVE、HackerOne、HITCON ZeroDay 等相似通報平台)
• 擁有資安相關證照 (OSCP、OSWE、Hack The Box Pro Lab 等)
• 曾在國內或國外資安研討會發表相關技術研究 (HITCON、BlackHat、CODEBLUE 等)
• 參與或舉辦過資安競賽 (CTF、King of Hill、Attack & Defense)
• 參與資安社群經驗 (CHROOT、UCCU Hacker、BALSN、BAMBOOFOX、若渴計畫 等)
• 曾寫過資安技術、漏洞分析、CTF Writeup 等相關文章或部落格
• 擁有 Android 或 iOS APP 挖掘漏洞經驗

為什麼要加入我們？

• 我們是充滿熱情的團隊，用成長型思維打造快速成長的組織。
• 擁有高頻率的溝通文化，夥伴間頻繁地討論合作並給予回饋，發揮自己的影響力。
• 彈性的工作氛圍，不論身在團隊擔任任何角色，將擁有彈性工時安排的空間。
• 持續學習是 Dcard 的核心精神，夥伴能隨時取得書籍、課程講座、國內外 Conference 等資源。

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，我們會儘速聯絡你！
• 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。

About Appier 

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

About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

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

#LI-AK1

About 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

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 the company 】

At Tomofun, we LOVE pets and technology. Our vision is to bring joy and innovation to every pet lover in the world.

We are pioneers in the pet tech industry. Our debut product, Furbo - the world's first AIoT treat-tossing dog camera, is the #1 bestseller on Amazon in 15 countries including the US, UK and JP and have millions of users in 113 countries. In 2019, we launched an AI powered subscription service, the Furbo Dog Nanny which sends smart alerts to our users to notify them to check on the safety of their dogs when they are home alone. Since the launch of Furbo Dog Nanny, we have saved hundreds of dogs' lives and are continuing to innovate and develop new features with our state of the art technology.

The learning curve is steep. But the work is exhilarating. Tomofun is on the cusp of a pet-tech boom and we’re looking for smart, innovative thinkers who aspire to incredible things.

【What you’ll do 】

• Develop cloud backend services on AWS.
• Operate and monitor running backend services to make sure high availability
• Cooperate with the scrum development team to deliver and deploy new feature

【 Who you are 】

• 3+ years experience in backend development with Python/Golang and related web framework.
• AWS production level experience in designing / deploying / administering services.
• Developed services with NoSQL/SQL Databases and have the confidence to easily pick up others.
• Worked in a high-availability environment and experienced with monitoring cloud infrastructure and systems.
• Familiarity with the tools for infrastructure as code: CDK, Cloudformation, Terraform.
• Leverage AI-assisted tools to automate your daily work.
• Passionate about embracing Agentic Workflows.

【 Perks 】

• The rare opportunity to work with an international team from Taiwan HQ and make impact on a global scale
• Join a group of talents who have passion to change pet parents and pet's lives through technology
• The freedom to voice yourself in an open, trusting and transparent working environment
• Quarterly all hands meetings to update entire organization on company goals, strategic directions and the opportunity to openly ask questions/give feedback
• Bring your fur babies to work in a pet-friendly office space designed to make your pet feel relaxed and comfortable
• Join our volunteer program. We are passionate about giving back to society.
• Various club activities to cultivate interests and have fun with Tomofuners after work!
• A LOT of free snacks and drinks for humans and furkids!
• Comfortable and creative office with kitchen, sofa, and quiet areas. Everyone can find their ideal place to work!
• Afternoon tea time twice a month and monthly birthday parties. We celebrate all the happy moments together.

【 Benefits 】

• Flexible Time-off; work hard and take time off when you need it
• Flexible working hours and work-from-home when needed
• Medical insurance and free yearly health checkup
• Yearly health checkup subsidy for your pets
• Weekly grooming service for your fur babies
• 2 free Furbos for each full-time team member
• Company trip and employee outing program. We work hard and play hard!
• Internal training workshop and external training subsidy for you to expand your skill set and continuously learn and grow

#LI-HYBRID

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.

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About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams.
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Develop and operate scalable, reliable and maintainable service-based softwares and related components.
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Python/Scala/Go/Java/C++
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experiences
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Ansible).
• Continuous integration / continuous deployment
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

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About Appier 

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

About the role

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

Hybrid role: 2 days/week in office - Taipei, Taiwan

Role Overview

We are looking for a talented Software Engineer to join our technology team. As a Software Engineer at MediaAlpha, you will take part in all aspects of the software development lifecycle. This includes working with stakeholders in fixing and improving our MediaAlpha Exchange Product and testing new features and integrations. The ideal candidate will enjoy designing, implementing, and scaling systems that process tens of thousands of high-value transactions a day, while also producing elegant and readable code.

Responsibilities

• Work closely with product managers to define product features and plan deliverables and milestones.
• Understand the company's mission, be able to independently communicate and coordinate effectively across departments, and work with the team to complete projects.
• Participate in the overall software development process, write readable and reliable code, and assist in server maintenance.
• Integrate business partners' products and data into the MediaAlpha system, enabling our partners to analyze their data and improve various metrics through the MediaAlpha platform.
• Write technical documentation and user manuals to help users and colleagues understand and use the system.
• Use script languages (e.g., Perl) to develop software on Linux systems and assist with AWS maintenance tasks (EC2, S3, or CloudFront, etc.).

Minimum qualifications:

• Bachelor's degree, preferably in a technical discipline (e.g., computer science)
• 3+ years of experience in software development.
• Familiar with relational databases such as MySQL and proficient in writing high-performance SQL queries.
• Familiar with designing, implementing, and integrating Restful APIs.
• Experienced in development within a Linux operating environment.
• Experience with various third-party API integrations.
• Familiar with JSON and XML formats.
• Skilled in writing unit tests and integration tests.
• Proficient in at least one script language (Perl, PHP, Python, etc.).

Preferred qualifications:

• Experience working with product managers and collaborating across departments.
• Excellent design, coding, and execution skills.
• Strong communication skills.
• Good system design capabilities, able to design highly scalable system architecture.

Language Note:

• Our backend is developed in Perl, and we welcome candidates who are willing to learn it after joining.

Benefit:

• Unlimited paid time off (PTO)
• Flexible work arrangements
• Comfortable office environment with adjustable desk and ergonomic chair
• Lunch provided on Tuesdays and Thursdays
• Can work from home on Mondays, Wednesdays, and Fridays
• Birthday Hookie, a special day for you to plan and enjoy
• Gym membership stipend
• Coffee / snack station
• Team activities and other opportunities to get to know your colleagues in TW
• Health check-up (every two years)
• Festival Bonuses (TWD2,000 for Dragon Boat and Mid-Autumn Holidays)
• Guaranteed annual salary of 13 months, with additional performance bonuses based on the company performance
• Employee stock plan - Restricted Stock Units

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

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.

The Company:

Placements.io is a product-first SaaS company transforming how digital media publishers and agencies manage their advertising businesses. Our platform simplifies ad sales, operations, billing, and revenue reporting—enabling our customers to scale efficiently and make smarter decisions.

With a global footprint and a strong engineering culture, we’ve been recognized on Inc.’s 5000 Fastest-Growing Companies list and named one of Will Reed’s Top 100 Early-Stage Companies to Work For. Headquartered in Seattle, we’ve expanded to New York, London, Taipei, and Singapore.

The Position:

We are looking for a Intermediate Backend Engineer to join our growing engineering team in Taipei. In this hybrid role (three days per week in office), you will be a key contributor to the design, development, and maintenance of our advertising technology platform. You’ll work alongside a talented team and collaborate cross-functionally to deliver high-quality, scalable solutions that support our clients’ evolving needs.

Placements.io continues to invest in platform innovation, including the integration of AI-driven features to enhance automation, predictive insights, and reporting performance. If you're passionate about backend development and excited about shaping the future of AdTech—including AI-driven automation and robust external integrations—this is an excellent opportunity.

• Design, build, and maintain robust, scalable APIs and backend services.

• Collaborate with product managers, designers, and engineers to define technical specifications.

• Implement backend logic to support AI-enhanced features like automated workflows and intelligent data reporting.

• Optimize system performance and resolve bottlenecks and bugs.

• Participate in code reviews to ensure quality, knowledge sharing, and maintainability.

• Conduct testing and debugging to maintain a stable and secure platform.

• Stay informed on backend and AI technology trends to drive continuous improvement.

• Contribute to agile ceremonies, including sprint planning and daily stand-ups.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Strong backend development experience, ideally within a fast-paced tech environment.

• Proficiency in Ruby on Rails or a similar backend framework.

• Experience developing and consuming RESTful APIs.

• Solid understanding of relational databases (PostgreSQL preferred).

• Familiarity with frontend technologies (React.js, JavaScript, HTML/CSS) is a plus.

• Experience or interest in working with AI/ML-powered systems, tools, or APIs.

• Familiarity with cloud platforms such as AWS, Heroku, or Google Cloud.

• Strong problem-solving skills and attention to detail.

• Excellent collaboration and communication skills.

• Experience in the digital advertising or martech industry is a plus.

• Competitive salary
• Early-stage stock options
• 20 days of PTO
• Applicable labor insurance and pension fund
• Company paid medical, dental, vision, and life insurance
• Regular company lunches and happy hours
• Gym membership reimbursement
• Cell phone reimbursement

To apply to our open positions, please email your resume, cover letter, and the name of the position you are applying for to careers@placements.io. We look forward to meeting you!

EEO Employer: Placements.io is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, social class, color, religion, sex,
sexual orientation, gender identity, national origin, disability, Veteran status, languages, ideology, political affiliation, birthplace, age, appearance, facial features, marital status, zoadic sign, blood type, past labor union membership, or any other protected classification.

Reasonable Accommodation Statement

Placements.io complies with United States federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please send a request to hr@placements.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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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