An excellent opportunity has arisen to join our Studio Data & Insights department as a Cloud Engineer, working with a team of accomplished developers and delivering complex development projects for internal systems across a variety of products and technologies.

This role offers challenges across a range of projects and responsibilities, including the opportunity to influence the future direction of the department and systems used across the business.

To apply for this role, you should have a proven technical capability and a track record in software development, DevOps and cloud engineering. You are motivated and experienced in taking responsibility to lead and deliver both departmental and business projects.

Your primary responsibilities will include, but not be limited to:

Generate technical designs with hands-on development of cloud-native data analytics services & solutions, with a focus on continuous improvement in design and delivery standards; understanding and contributing from design through to code level
Continuously work towards operational excellence by identifying opportunities to automate away manual processes.
Lead in the technical design and implementation of scalable automation solutions for testing, deploying and monitoring data analytics platforms.
Partner with the technical director and data solutions architect to understand requirements, evaluate options, develop roadmaps and ensure needs are addressed in a complex, multi-partner environment
Work with and mentor junior engineers in the techniques and craft of building scalable and supportable cloud infrastructure
Assess and recommend available and latest cloud-based data and analytics technologies

What a Senior Cloud DevOps Engineer at EA does:

Create & implement designs for improvements or additions to the cloud infrastructure stack and communicate those designs both to team leads and engineers
Manage Build infrastructure, Continuous Integration and Continuous Delivery Pipelines with tools like Gitlab (CI/CD) and monitoring tools like Datadog.
Implement Test Automation & AIOps including data quality monitoring and testing frameworks specific to data analytics.
Enhance current automation tools and introduce automation to replace manual processes
Assess and enhance application security
Implement tools that build and deploy infrastructure and services
Write applications to monitor service health, perform log analysis, and automate recovery
Apply software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Provide high-quality code reviews and feedback to engineers
Prototype, compare, and test new frameworks and technologies and make recommendations based on the results to team leads

Our next Senior Cloud DevOps Engineer at EA will have:

Well-versed in DevOps principles & practices with a minimum of 7 years of experience with 3 years of data analytics experience.
Develop and deploy high-quality, reliable and efficient data analytics services and solutions including: ETLs, data lakes and data warehouses.
DevOps tool-chain integration experience: Release Orchestration & Automation, Source Code & Build Management, Code Quality & Security Management, Test Driven Development, Continuous Integration, Continuous Delivery, Continuous Deployment (with Infrastructure-as-Code and Configuration-as-Code) and Operational Monitoring & Management
Well-versed in either AWS, Azure or Google Cloud and must demonstrate advanced knowledge in at least FIVE (5) services offered under the categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (OR) equivalent Cloud Platform experience.
Expertise with containerized technologies and container orchestration frameworks, for example Docker and Kubernetes, and their offerings on AWS, Google Cloud Platform, and Azure
You have experience with containerized CI/CD pipelines for creating reliable high quality builds from development to production, and using automation testing frameworks (unit testing, regression testing, anomaly detection) on code and data pipeline changes using application such as: Gitlab, Jenkins, Buildkite or Spinnaker
Programming experience in either Python, Java. C# or Scala
Experience in the physical and logical design of network architecture for cloud, including network security architecture, load-balancing, DR failover, and performance tuning

About EA At Electronic Arts, we exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together talented people that combine creativity, innovation, and passion. We know that our strength lies in the diversity of our people. We immerse our employees into an inclusive culture, and provide opportunities for learning and leading that allow them to do the most impactful and rewarding work of their careers. We put our people first. We provide comprehensive benefit packages with a focus on health and wellbeing to support your needs and help you balance your career and personal life. We provide access to dynamic and collaborative work environments, opportunities to connect and contribute through our Employee Resource Groups, and support for a balanced life with paid time off and new parent leave, plus free video games and so much more! Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. Electronic Arts also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.