You lead the technical design of capabilities such as experiment assignment, player segmentation, exposure logging, telemetry processing, metric computation, guardrails, and reproducible analysis.
You build reliable batch and streaming data pipelines using technologies such as Apache Beam, Apache Spark, Ray, Apache Flink, and Apache Kafka.
You design data platforms on GCP using technologies such as BigQuery, Apache Iceberg, Google Cloud Storage, Kubernetes, Airflow, and Terraform.
You remain hands-on throughout the development lifecycle, contributing production code and solving complex problems in distributed computing, streaming, orchestration, and storage.
You develop effective methodologies and guardrails for AI-assisted and agentic engineering, including context management, automated validation, evaluations, human review, and responsible adoption.
You use AI-native workflows across your end-to-end responsibilities, including architecture exploration, implementation, testing, code review, documentation, debugging, incident response, and platform operations.
You maintain ownership of the correctness, security, performance, and maintainability of all work produced with AI assistance.
You evaluate new technologies pragmatically and apply them where they materially improve engineering velocity, platform reliability, or experimentation quality.
You lead the technical direction and delivery of the Data Infrastructure, aligning engineers and cross-functional partners around shared priorities, architectural decisions, trade-offs, and multi-quarter execution plans.
You coach and develop engineers through mentorship, actionable feedback, and technical guidance, while fostering a collaborative, high-performing team culture and remaining hands-on in architecture and critical implementation.
Qualifications
You have a demonstrated ability to use AI-native workflows across the full engineering lifecycle while independently evaluating and validating their output.
You have extensive experience designing, building, and operating production data platforms or other large-scale distributed systems.
You demonstrate strong programming ability in one or more of Java, Python, Go, or Rust. Experience with Java or Python is especially relevant to this role.
You have deep experience with cloud data infrastructure, preferably GCP and BigQuery.
You understand distributed computing and have production experience with frameworks such as Apache Beam, Apache Spark, or Ray.
You have experience building real-time data systems with technologies such as Apache Flink, Apache Kafka, or comparable streaming frameworks.
You have experience with orchestration, container, and infrastructure automation technologies such as Kubernetes, Airflow, and Terraform.
You understand modern storage and lakehouse architectures, including technologies such as Apache Iceberg and object storage systems such as Google Cloud Storage.
You have experience building experimentation, analytics, telemetry, or data products used by multiple engineering and product teams.
You understand the foundations of trustworthy experimentation, including assignment, exposure tracking, metric definition, data quality, reproducibility, and statistical interpretation.
You have experience defining technical direction and driving complex, cross-team initiatives while remaining directly involved in implementation.
Demonstrated history of leading delivery of complex projects involving multiple engineers and cross-functional partners, from strategy and planning through launch and operational ownership.
Experience managing and developing engineering teams, including hiring, performance feedback, career growth, and fostering an effective, inclusive team culture.
You communicate clearly and work effectively with distributed, cross-functional teams.
You are proficient in English. Japanese proficiency is a bonus.
Important notes about this position
This position is based in Tokyo. While offering flexibility, regular attendance in the office three days per week is expected.
The coding requirement is not optional and will be tested during the recruitment process. Candidates must be able to design, implement, test, and reason about production-quality software.
The use of AI tools is allowed and may form part of the development workflow. Candidates must understand, explain, validate, and take responsibility for the resulting work.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
