Software Engineer, System Integration

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

Software Engineer, System Integration at Appier plays a pivotal role in connecting our solutions with various platforms.  You will be responsible for designing the most flexible and scalable architecture and implementing the integration.

Responsibilities 

• Design and develop robust system integration solutions to connect Appier’s solutions with various platforms.
• Develop and operate data pipelines as the foundation of system integrations.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize integration operations.
• Deploy systems to production and monitor service health.
• Participate in on-call shifts as needed to ensure integration reliability and scalability.

About you 

[Minimum qualifications]

• 3+ years of experience in building and operating backend systems.
• Proven skills of interpersonal communication and problem-solving.
• Experience in any modern programming language (such as Python, Golang, JavaScript).
• Experience in modern software development tools (such as Git, JIRA).
• Familiarity with prototyping and MVP development.
• Ability to pick up new technologies and services quickly.
• Ability to communicate in English.

[Preferred qualifications]

• Expertise in Python and its ecosystem.
• Expertise in data pipelines, data quality and the related tools.
• Experience in multiple industries or software development domains.
• Familiarity with Kubernetes and Docker.
• Familiarity with cloud services (such as AWS, GCP, Azure).
• Familiarity with CI/CD and DevOps principles.

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