Posting record
Open 12+ days
- Appier's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Appier, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat it asks of you
- 2+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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
- 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
- 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.
- Eagerness to change the world in a huge way by being a self-motivated learner and builder
[Preferred qualifications]
- Experience working with DuckDB, Druid, 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-TC1
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