QA Automation Engineer

• Design, build, and maintain CI/CD pipelines to support scalable and efficient build and release processes across game development teams
• Drive DevOps best practices, enabling automation, monitoring, and continuous improvement across development and operational workflows
• Support and enhance cloud-based automation infrastructure, ensuring high availability and performance for build and deployment systems
• Contribute to and evolve the Ascent build process, improving speed, stability, and usability
• Collaborate cross-functionally with Game Test teams, build coordinators, and product teams (including MForce and Northstar) to align automation solutions with business needs
• Troubleshoot and resolve build, release, and automation issues, ensuring minimal disruption to development timelines
• Participate in knowledge sharing and cross-training initiatives, strengthening team capability and resilience
• Continuously identify opportunities for automation, efficiency gains, and modernization of existing processes

Software Engineer I – Automation

• Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
• Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
• Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
• Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
• Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
• Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
• Process structured, semi-structured, and JSON data from a variety of internal and external sources.
• Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
• Identify opportunities to automate repetitive processes and improve operational efficiency.
• Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

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Software Engineer I – Automation

Data and Automation Engineer – Python