Jobs Companies Appier Software Engineer, Backend Development (Intern)

Sobre esta vaga de Software Engineer, Backend Development (Intern) na Appier

Appier · Presencial · Taipei, Taiwan

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.
 
[Preferred Qualifications]
  • 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.

 

 

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