# Software Engineer III **Company**: Electronic Arts **Location**: Vancouver, British Columbia **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $122,300 - $170,700 CAD **Category**: Engineering **Industry**: Technology **Ticker**: EA **Wikidata**: https://www.wikidata.org/wiki/Q173941 **Apply**: https://jobs.ea.com/en_US/careers/JobDetail/Software-Engineer-III-Enterprise-Intelligence/216497?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/software-engineer-iii-f9057a99-790/ ## Description Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen. Enterprise Intelligence (E&I), part of EA's Enterprise Performance organization, brings together many core capabilities,Game Intelligence, Fan Intelligence, Engineering, Science, Product, and Operations,to transform player, game, and market data into actionable intelligence. The team builds scalable technology platforms, advances predictive models and experimentation, and delivers products that power live services, personalization, and decision-making across EA. The Challenge Ahead: The Enterprise Intelligence team develops a unified Big Data pipeline across all franchises at Electronic Arts. This live service platform incorporates data collection, ingestion, processing, access, and visualization,all built on a modern, cloud-based tech stack with cutting-edge tools. The Data Group provides the tools and platform that power the future of game development, marketing, sales, accounting, and customer experience. We are seeking developers who want to contribute innovative solutions to our live service platform for one of the most creative companies in technology. You'll have the opportunity to work on scalable systems that handle massive data volumes while enabling real-time insights that drive business decisions across EA's global operations. Responsibilities: - Collaborate with cross-functional teams, including Content Management & Delivery, Messaging, Segmentation, Recommendation, and Experimentation, to streamline the live services workflow. - Evaluate how EA's live service solutions, studio tech stacks, and vendor solutions can work together to achieve engineering and business goals efficiently and cost-effectively. - Utilize massive data sets from 20+ game studios to promote a data-driven decision-making process and experimentation culture. - Engage with Game Studios, Experience, and Brand organizations to understand their use cases and drive end-to-end solutions to meet requirements. - Work with Legal and Privacy teams to ensure compliance directives are strictly followed. - Collaborate directly with product managers and customers to understand use cases, develop solutions, and drive areas of development with the best ROI. Required Skills: - Master's Degree in Computer Science or related field, or relevant experience. - At least 4 years of experience. - 3+ years of experience building web projects using modern development practices, including frontend UI and backend microservices. - Experience with TypeScript, including modern patterns such as React hooks, functional components, and advanced type systems. - Strong programming skills with expertise in AI, software design, algorithms, and data structures. - Experience managing 24/7 large-scale services with complex dependencies in a microservice-based design and deep data connections. - Experience managing massive scale data services requiring sub-millisecond level performance and high reliability. - Familiarity with back-end development frameworks and technologies (e.g., Spring Boot). - Experience working with online and offline databases, including columnar databases, relational databases, or document databases. - Experience managing high-traffic, 24/7 services with complex dependencies and multi-cloud architectures on AWS. - Experience in multi-cloud architectures and large-scale data processing systems. - Familiarity with software development practices, including writing clean, reusable code and basic understanding of test-driven development and continuous integration. - Working experience with Docker/Kubernetes, Prometheus, Grafana, GitLab CI/CD. - Strong communication and interpersonal skills in a team environment. - Deep domain knowledge of in-game live services, personalization, such as client integration, high throughput low latency runtime services, online and offline data pipelines, data exchange, analytics, measurement, and reporting is a plus. Pay Transparency - North America: The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g., education, qualifications, certifications, experience, skills, geographic location, or business needs). Pay Ranges: - British Columbia (depending on location, e.g., Vancouver vs. Victoria): $122,300 - $170,700 CAD Pay is just one part of the overall compensation at EA. In Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of paid sick time, company top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, and retirement benefits to regular full-time employees. Certain roles may also be eligible for bonus and long-term cash programs. For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Master's Degree in Computer Science - TypeScript - React hooks - functional components - advanced type systems - AI - software design - algorithms - data structures - microservice-based design - Docker/Kubernetes - Prometheus - Grafana - GitLab CI/CD - Spring Boot - columnar databases - relational databases - document databases - multi-cloud architectures - large-scale data processing systems ### Nice to have - in-game live services - personalization - client integration - high throughput low latency runtime services - online and offline data pipelines - data exchange - analytics - measurement - reporting --- Source: [Apply at jobs.ea.com](https://jobs.ea.com/en_US/careers/JobDetail/Software-Engineer-III-Enterprise-Intelligence/216497?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)