Responsibilities
Manage availability, change control, automated recovery, and incident runbooks across SIEM, forwarder fleets, and detection pipelines.
Standardize deployments and container orchestration using Terraform, Ansible, and Docker to eliminate operational friction.
Conduct design reviews and author architecture decision records with leadership to eliminate single points of failure.
Build microservices, CLI utilities, and middleware connecting security platforms, data pipelines, and orchestration engines.
Serve as primary technical point of contact and service owner for teams using our AI security assistant.
Investigate platform anomalies and user reports across prompts, harnesses, configurations, and code.
Resolve platform and harness issues with test-backed code fixes to prevent recurring failures.
Author defect tickets with session IDs, execution traces, payload samples, and reproduction steps for developers.
Track and optimize token consumption, model inference costs, and prompt caching in AWS Bedrock.
Maintain FAQs, how-to documentation, and best-practice guides based on user questions and operational patterns.
Design Splunk dashboards and alerting suites tracking platform health, ingestion lag, LLM latency, and adoption.
Analyze OpenTelemetry distributed traces and JSON logs to pinpoint API latency and harness failures.
Partner with detection engineers to validate detection logic and telemetry feeds against production benchmarks.
Qualifications
Required Qualifications:
10+ years of experience supporting high-availability production platforms, automated alerts, incident response, and change management.
Experience developing API integrations, asynchronous workflows, automated tests, and modular tools in Python, Go, or TypeScript/Node.js.
Experience analyzing logs, distributed traces, JSON payloads, and APIs using Splunk, Grafana, Datadog, Elastic, curl, or Postman.
Experience with LLM mechanics, prompt engineering, agent orchestration, and resolving AI failure modes.
Experience designing system architecture and resolving production code issues across enterprise platforms.
Core Skills and Experience
Experience with Splunk Search Processing Language (SPL), dashboard creation, and operational alerting.
Experience with SOC alert triage workflows, incident response lifecycles, and MITRE ATT&CK techniques.
Experience working with agentic frameworks or LLM SDKs such as LangChain, LlamaIndex, or Semantic Kernel.
Experience with LLM evaluation datasets and observability frameworks such as Phoenix, LangSmith, or Langfuse.
Experience configuring prompt caching, model quotas, and token monitoring in cloud AI suites like AWS Bedrock.
Hands-on experience with OpenTelemetry (OTel) instrumentation and trace evaluation.
Experience automating workflows across Splunk SOAR, SentinelOne, Tanium, or n8n.
Experience in internal customer success, platform advocacy, or technical service ownership
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
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. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
