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Electronic Arts (EA)

Electronic Arts (EA)

ea.com

14 Jobs

33,680 Employees

About the Company

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 team where creativity thrives, new perspectives are invited, and ideas matter. Regardless of your role, team, or location, this is a place where everyone makes play happen. Join us.

Listed Jobs

Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Lead Platform Engineer - Infrastructure / Cloud (DevOps)
Job Description
Job title Lead Platform Engineer – Infrastructure / Cloud (DevOps) Role Summary Senior engineering role focused on designing and delivering Infrastructure‑as‑Code (IaC) solutions for a large-scale internal developer platform. Leads a small team, mentors peers, collaborates with architects and product owners, and ensures secure, observable, high‑performance cloud infrastructure using Terraform, GitLab CI, AWS, and observability tools. Expactations - Deliver scalable, reusable IaC modules and automated CI/CD pipelines. - Mentor and coach team members, balancing guidance with ownership of tasks. - Translate high‑level designs into actionable engineering work and manage tech debt. - Communicate status, risks, and metrics to both technical and non‑technical stakeholders. - Champion security, observability, and performance best practices across the platform. Key Responsibilities - Architecture, development, and maintenance of Terraform modules for cloud infrastructure. - Build, optimize, and maintain GitLab CI pipelines for automated builds, tests, and deployments. - Conduct code reviews, uphold coding standards, and enforce documentation best practices. - Decompose complex designs into clear, manageable tasks and provide technical direction. - Integrate observability solutions (e.g., CloudWatch, Datadog, Prometheus) to monitor health, performance, and compliance. - Implement and audit security controls, ensuring infrastructure meets industry standards. - Collaborate with product owners to refine requirements and set realistic roadmaps. - Produce architecture diagrams, runbooks, and deployment guides, keeping them updated. - Mentor junior engineers and facilitate continuous learning within the team. Required Skills - 8+ years of software engineering experience in corporate environments. - 5+ years of designing and supporting scalable, secure cloud infrastructure using IaC (Terraform). - 2+ years of integrating observability tools in medium or large organizations. - Strong command of CI/CD pipelines, especially GitLab CI. - Familiarity with UI/CLI development, user journey mapping, and UX principles. - Deep knowledge of DevOps, Agile, SRE, and continuous delivery practices. - Ability to communicate complex technical concepts to varied audiences. - Proven leadership or mentorship experience in engineering teams. - Familiarity with cloud security best practices and automated compliance. Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, or equivalent experience. - AWS Certified Solutions Architect – Associate (desired).
Edmonton, Canada
Hybrid
Senior
21-12-2025
Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Machine Learning Engineer
Job Description
Job title: Machine Learning Engineer Role Summary: Design, develop, and operate large‑scale production machine learning systems that power scalable analytics and autonomous decision‑making platforms. Focus on vector database integration, semantic search, and end‑to‑end model lifecycle management to deliver high‑impact insights for product features and engagement metrics. Expectations: - Deliver scalable, reliable ML pipelines that meet stringent performance, latency, and accuracy targets. - Drive continuous improvement of model quality and deployment efficiency through rigorous testing, validation, and monitoring. - Collaborate with cross‑functional partners—product, platform, and MLOps—to translate business requirements into technical specifications and ensure alignment with strategic objectives. - Communicate progress, risks, and findings to senior stakeholders, providing clear, data‑driven updates. Key Responsibilities: - Optimize and scale machine learning systems for production, emphasizing vector database integration and semantic search techniques. - Develop and implement testing, validation, load, and latency assessment processes to guarantee model accuracy and reliability. - Partner with platform and MLOps teams to enhance pipeline efficiency, deployment practices, and scalability. - Lead technical discussions with stakeholders to design and implement ML models that align with product goals. - Evaluate and adopt new technologies and platforms to improve model deployment, scalability, and operational excellence. - Translate product requirements into detailed technical specifications in collaboration with product management. - Report project status and product updates to senior management. Required Skills: - 6+ years of industry experience in machine learning, MLOps, and model production. - Proficient in designing, maintaining, and scaling ML systems with a focus on vector database and semantic search methodologies. - Strong knowledge of cloud platforms (AWS, GCP) and CI/CD workflows for ML pipelines. - Experience with load testing, performance tuning, and latency assessment of ML services. - Excellent communication skills for stakeholder engagement and technical documentation. - Ability to work collaboratively in cross‑functional teams and lead technical discussions. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related technical field. - Relevant certifications in cloud platforms (AWS Certified Solutions Architect, GCP Professional Data Engineer, etc.) and ML/MLOps tools are desirable.
Vancouver, Canada
Hybrid
Mid level
23-12-2025
Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Senior Director Product Management - PI&E
Job Description
**Job title** Senior Director Product Management – PI&E **Role Summary** Lead the product management organization for infrastructure cost optimization, capacity forecasting, and vendor lifecycle within EA’s Production Infrastructure & Engineering platform. Own end‑to‑end product strategy, execute multi‑year roadmaps, and build a high‑performing PM team that drives measurable cost savings, scalability, and vendor excellence across game studios and live services. **Expectations** - Articulate and evolve a vision for cost management, capacity, and vendor optimization that aligns with engineering, finance, and business priorities. - Deliver sustained, data‑driven value through product decisions that balance ROI, technical feasibility, and customer impact. - Grow and mentor a cohort of product managers, instilling rigorous product practices, career development, and a culture of experimentation. - Influence senior stakeholders across technical, financial, and operational domains. **Key Responsibilities** - Define long‑term strategy and product vision for cost optimization, capacity planning, and vendor lifecycle management. - Build and maintain multi‑year roadmaps; prioritize initiatives against business, technical, and financial criteria. - Partner with game studios, live‑service teams, and finance to shape and ship high‑impact capabilities that unlock cost efficiency and operational resilience. - Lead, coach, and scale a product management team; set clear OKRs, track progress, and foster continuous improvement. - Institutionalize product operations standards (intake, roadmapping, prioritization, metrics) and embed them across the organization. - Champion a data‑centric, customer‑first culture; drive experimentation, learning, and rapid iteration. - Stay abreast of FinOps, cloud optimization, and infrastructure best practices; inject fresh ideas into strategy and execution. **Required Skills** - 10+ years of product management experience, including deep expertise in hybrid/multi‑cloud infrastructure cost optimization. - Proven track record delivering multi‑year product strategies at enterprise scale. - Leadership experience building and developing high‑performing product teams. - Strong knowledge of FinOps practices, cloud ecosystems (AWS, Azure, GCP), and core infrastructure components (VMs, containers, networking, storage). - Financial acumen: budgeting, forecasting, ROI analysis, and cost‑benefit discussions. - Excellent communication, negotiation, and stakeholder‑management skills across technical and business audiences. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Business, Finance, or a related field (MBA or advanced degree preferred). - Relevant professional certifications (e.g., PMP, Product Management Professional, AWS Certified Solutions Architect, Azure M365 Certified, Google Professional Cloud Architect) are a plus.
Vancouver, Canada
Hybrid
Senior
25-12-2025
Company background Company brand
Company Name
Electronic Arts (EA)
Job Title
Data Scientist - Mobile Growth
Job Description
Job Title: Data Scientist - Mobile Growth Role Summary: Analyze marketing spend and performance across digital channels to inform growth strategy for a mobile gaming portfolio. Works with media buying, experimentation, and forecasting to optimize budget allocation and measure incremental impact. Expactations: • Deliver actionable insights to media buyers and stakeholders. • Build and maintain Bayesian hierarchical media mix models and causal experiments. • Communicate complex model outputs clearly to non‑technical audiences. • Foster collaboration between data science, media teams, and product stakeholders. Key Responsibilities: • Construct Bayesian hierarchical media mix models (MMMs) to quantify channel contributions. • Design and analyze geo‑based incrementality experiments and user‑level re‑engagement tests. • Lead retargeting A/B tests, applying causal inference techniques to evaluate incremental lift. • Develop budget‑optimization tools for strategic decision‑making. • Build forecasting models (e.g., Prophet) to project game and revenue performance. • Translate model findings into clear, actionable recommendations for media strategy. Required Skills: • Advanced statistical modeling, including Bayesian frameworks. • Proficiency in Python and/or R, plus SQL for data manipulation. • Experience with MMMs, causal impact methods (CausalImpact, fixed‑effect regression), and experimental design. • Ability to simplify technical results for business stakeholders. • Strong analytical and problem‑solving skills. Required Education & Certifications: • Master’s degree in Statistics, Econometrics, or related quantitative field. • 2–5 years of data science or analytics experience, preferably in marketing measurement or experimentation.
Vancouver, Canada
Hybrid
Junior
06-01-2026