Staff Software Engineer, Data Backend - Tokyo, Japan

Appier

Tokyo, JapanFull-timeNo compensation foundPosted 6mo agoVerified open 4 days ago

Evaluate my fit

Most applications go out cold — see where you stand first. No sign-up to start.

Don't just apply. Show up ready.

Olive works from this exact posting — no sign-up to start.

Evaluate your fitSee where you stand — strengths, gaps, and what to fix first.Get started →Tailor your résuméRewritten against this posting, with a diff of every change.Get started →Practice the interviewA voice mock interview built from this job description.Get started →

At a glance

Compensation

No compensation found

Location

Tokyo, Japan

Schedule

Full-time

Work Authorization

Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Appier is hiring a Staff Software Engineer, Data Backend - Tokyo, Japan. Appier, a SaaS AI company, seeks a Staff Software Engineer, Data Backend in Tokyo to design, develop, and maintain RESTful APIs, data warehouses, and pipelines while collaborating with cross‑functional teams and leveraging cloud platforms such as AWS and GCP.

Key focus areas include Design, develop, and maintain RESTful APIs using Python., Build and manage robust data warehouses utilizing Trino/Presto and Pinot., and Design and develop data pipelines using Apache Airflow and Apache Spark..

Successful candidates bring BS/MS Degree In Computer Science, 8+ Years Experience In Building And Operating Large-Scale Distributed Systems Or Applications, and Experience In Kubernetes Development, Linux/Unix. Important skills include RESTful APIs, Python, Trino, Presto, Pinot, and Apache Airflow. Preferred (not required): Open Source Contributions, Scala, Java, and Hadoop.

Skills & qualifications

RequiredNice to have

Skills

RESTful APIsPythonTrinoPrestoPinotApache AirflowApache SparkAutomation ToolsMonitoring SystemsAlerting SystemsAWSGCPKubernetesLinux/UnixData Structures and AlgorithmsBig Data PlatformsOperating Effectively and IndependentlyWorking in Fast-Moving Team EnvironmentJuggling Many Tasks and ProjectsSelf-Motivated LearnerSelf-Motivated BuilderOpen Source ContributionsScalaJavaHadoopHiveApache FlinkLinuxUnixData Lake ManagementData Warehouse ManagementOperate Effectively and IndependentlyWork in Fast-Moving Team EnvironmentMonitoring and Alerting SystemsWork in a Fast-Moving Team EnvironmentJuggle Many Tasks and ProjectsTrino/PrestoData LakeData WarehouseOpen Source ContributionGitHubIndependent OperationFast-Moving Team CollaborationScala/JavaIndependent WorkSelf‑Motivated LearningOperate Effectively in Dynamic EnvironmentWork in Fast-Moving TeamDistributed SystemsAbility to Operate Effectively and Independently in a Dynamic Fluid EnvironmentAbility to Work in a Fast-Moving Team Environment and Juggle Many Tasks and ProjectsEagerness to Change the World in a Huge Way by Being a Self-Motivated Learner and BuilderContributing to Open Source ProjectsContainer OrchestrationCross‑Functional CollaborationSelf‑MotivationCollaborationMonitoring and AlertingAbility to Operate Effectively and IndependentlyAbility to Work in Fast-Moving Team EnvironmentEffective Independent OperationTeam CollaborationPresto/TrinoAbility to Operate Effectively in Dynamic EnvironmentAbility to Work in Fast-Moving TeamIndependent Operation in Dynamic EnvironmentEagerness to Change the WorldOperate Effectively IndependentlySelf-Motivated Learner BuilderOperate IndependentlyEagerness to Change the World as a Self-Motivated Learner and Builder

Qualifications

BS/MS Degree in Computer Science8+ Years Experience

Full job description

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’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 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
8+ 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]

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-EZ1

You've read the whole posting — now see how you match it.

Evaluate my fit