Tripledot Studios

Full-stack Engineer

• AI-Assisted Quality Engineering: Experiment with LLM-based tools and evaluate where they genuinely accelerate testing versus where they add overhead.
• Build repeatable AI-assisted workflows that integrate into CI pipelines where they prove valuable.
• Develop and maintain automated tests within Unity using C#, including PlayMode and EditMode tests for gameplay systems, economy logic, and progression flows.
• Build automated validation for game services, APIs, and player data integrity.
• Mentor QA team members in automation fundamentals.

Software Engineer, Quality & Test Automation

Designer

• Design and improve game features and systems for an existing project
• Create and maintain game documentation, including GDD and feature specs
• Plan, implement, and operate LiveOps events and activities
• Work with product metrics, analyze player behavior, and make data-driven decisions
• Design, run, and analyze A/B tests to optimize game features and monetization
• Balance game systems and evaluate their performance through analytics

Game Designer

Data Engineer

• - Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
• - Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
• - Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
• - Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools.
• - Ensure data quality, consistency, and governance across all stages of the data lifecycle.
• - Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
• - Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
• - Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.

Senior Data Engineer – 3-6 Month Contract

• Working within a group function that is aimed to work with all group studios.
• Within the group AI functions you’ll be working with other AI / ML engineers, data engineers, analysts and product owners.
• Interact with data, engineering, and product teams.
• Contribute to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.
• Take part in LTV predictions and building the foundations of the data platform that will support it.
• Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.

Senior Data Engineer

• Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI / ML engineers, data engineers, analysts and product owners.
• Within the various studios you will interact with data, engineering, and product teams. The Group AI function’s goal is to make Tripledot an AI/ML-enabled company. You’ll be reporting to the Director of AI Engineering. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.
• Progression opportunities will be within the AI group or to studios in the group. The first initiative you’ll be taking part of are LTV predictions and building the foundations of the data platform that will support it, with work continuing on helping integrate central AI/ML solutions into Tripledot games.
• Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
• Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
• Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
• Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools.
• Ensure data quality, consistency, and governance across all stages of the data lifecycle.
• Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
• Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
• Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.

• Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
• Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
• Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
• Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools.
• Ensure data quality, consistency, and governance across all stages of the data lifecycle.
• Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
• Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
• Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.

• Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI / ML engineers, data engineers, analysts and product owners.
• Within the various studios you will interact with data, engineering, and product teams. The Group AI function’s goal is to make Tripledot an AI/ML-enabled company. You’ll be reporting to the Director of AI Engineering. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.
• Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
• Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
• Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
• Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools.
• Ensure data quality, consistency, and governance across all stages of the data lifecycle.
• Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
• Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
• Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.

Senior Data Engineer, 3-6 Month Contract

• Working within a group function that is aimed to work with all group studios.
• Within the group AI functions you’ll be working with other AI / ML engineers, data engineers, analysts and product owners.
• Within the various studios you will interact with data, engineering, and product teams.
• The Group AI function’s goal is to make Tripledot an AI/ML-enabled company.
• You’ll be reporting to the Director of AI Engineering.
• The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.
• Progression opportunities will be within the AI group or to studios in the group.
• The first initiative you’ll be taking part of are LTV predictions and building the foundations of the data platform that will support it, with work continuing on helping integrate central AI/ML solutions into Tripledot games.
• Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.
• Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.
• Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).
• Work with cloud platforms to manage and optimize data lakes, warehouses, and orchestration tools.
• Ensure data quality, consistency, and governance across all stages of the data lifecycle.
• Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.
• Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.
• Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.