Software Engineer III, Site Reliability Engineering - Ventures

Electronic Arts is seeking a Software Engineer III (Site Reliability Engineering) on a six-month temporary full-time contract to strengthen how they run and observe the services behind their Ventures products.

The priority for this engagement is observability and incident response, followed by cloud cost and governance, then security posture. Infrastructure provisioning and build pipelines are largely self-managed by their backend and platform team, so you will support and improve those areas rather than own them outright.

Key Responsibilities:

• Design and build observability across Ventures environments, including logging, metrics, tracing, dashboards, and alerting.
• Define meaningful service level indicators and alert thresholds so that teams are paged on real problems rather than noise.
• Lead and improve incident response practice, including triage, escalation paths, on-call rotation, and runbooks.
• Run post-incident reviews and drive the follow-up actions that come out of them.
• Give product engineering teams the visibility they need to diagnose issues in their own services.

• Establish visibility of cloud spend across Ventures projects in AWS and GCP.
• Identify and implement cost efficiency improvements, and set up guardrails to prevent regressions.
• Define and enforce tagging, account, and resource conventions so that spend and ownership are attributable.
• Report on cost trends and forecast implications for engineering leadership.

• Review and improve secrets management, IAM and least-privilege access, and network configuration.
• Work with EA security and platform teams to align Ventures infrastructure with internal standards.
• Surface and help remediate infrastructure security risks across projects.

• Build and refine agentic workflows that automatically inspect incidents, correlate telemetry, and propose remediations for human confirmation.
• Make our systems legible to agents, including structured telemetry, machine-readable runbooks, and well-scoped tooling.
• Review agent-proposed actions and remain accountable for what gets applied, treating suggestions as input rather than answers.
• Track where agentic workflows perform well and where they do not, and feed that back into how they are designed.

• Support the backend and platform team on Terraform and infrastructure as code, contributing modules and improvements where useful.
• Support and improve existing CI/CD pipelines where they create friction for product teams, without taking over ownership.
• Integrate with internally provided EA infrastructure and platform services, and work with those teams to unblock delivery.
• Document your work, including runbooks and operational procedures, to a standard the team can own after the contract ends.

What You Bring:

• 5+ years of professional SRE, DevOps, platform, or infrastructure engineering experience.
• Strong experience implementing observability using tools such as Datadog, Grafana, Prometheus, OpenTelemetry, or CloudWatch.
• Proven experience running incident response in a production environment, including on-call and post-incident review.
• Experience managing and optimising cloud cost at organisational scale, including tagging and governance practices.
• Solid understanding of cloud security fundamentals, including secrets management, least-privilege access, and network segmentation.
• Strong hands-on AWS experience across compute, networking, storage, IAM, and managed services.
• Working knowledge of GCP, or clear evidence of operating comfortably in a multi-cloud environment.
• Practical Terraform experience, sufficient to contribute confidently to an existing infrastructure as code estate.
• Familiarity with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins, or similar.
• Experience with containerisation and orchestration, including Docker and Kubernetes.
• Strong scripting ability in Python, Bash, Go, or similar.
• Experience working alongside internal platform or shared infrastructure teams within a larger organisation.
• Hands-on experience using AI coding or operations agents in real work, and a clear view on where they help and where they should not be trusted.
• A track record of joining an existing environment and becoming productive quickly.