Sr. Software Engineer, AI-Native Operations Platform

Electronic Arts is seeking a Sr. Software Engineer, AI-Native Operations Platform to technically own and scale GameKit Assistant and the broader AI operations platform. This is a global technical leadership role based in India.

The Sr. Software Engineer will own architecture, engineering standards, roadmap sequencing, technical delivery outcomes, and mentorship across globally distributed teams. The ideal candidate will have a background in architecting high-scale backend environments and complex distributed systems, with direct production experience with Generative AI.

Key responsibilities include:

• Owning the architecture and technical roadmap for GameKit Assistant and EA's AI-native operations platform
• Building scalable platform capabilities across conversational support, knowledge operations, workflow automation, incident orchestration, evaluation, and service intelligence
• Improving the Slack assistant experience
• Leading production AI capabilities including RAG, hybrid search, LLM evaluation, prompt/version management, guardrails, observability, and hallucination detection
• Designing reliable backend systems and integrations across multiple platforms
• Establishing engineering standards for architecture, service reliability, action safety, observability, release quality, and incident readiness
• Mentoring engineers through design reviews, code reviews, debugging, technical guidance, and hands-on leadership

Required qualifications:

• 15+ years of software engineering experience building and operating large-scale backend platforms, distributed systems, developer platforms, automation platforms, or enterprise internal tools
• Strong hands-on engineering experience in Python, Java, Go, Scala, or similar backend languages
• Practical production experience with Generative AI, RAG, LLM integrations, vector search, evaluation pipelines, guardrails, observability, and AI-enabled workflow automation
• Deep experience with Kubernetes, APIs, event-driven systems, queues, databases, caching, CI/CD, telemetry, distributed tracing, and production operations
• Strong understanding of reliability patterns
• Experience designing integrations across enterprise platforms with strong attention to identity, permissions, auditability, security, operational safety, and user impact
• Ability to influence technical direction, mentor engineers, review complex designs, challenge weak assumptions, and drive delivery across globally distributed teams
• Excellent technical writing, communication, and stakeholder influence skills
• Master's degree or a Doctorate in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Preferred qualifications:

• Experience in platform engineering, developer productivity, SRE, cloud infrastructure, enterprise automation, internal developer platforms, payments, large-scale SaaS, or high-throughput consumer technology environments
• Experience building AI-enabled support systems, workflow orchestration platforms, incident response tooling, knowledge platforms, service intelligence capabilities, or developer-facing assistants
• Experience with Slack apps, conversational UX, support automation, ticketing workflows, incident workflows, human-in-the-loop systems, or action-based assistants
• Experience with Azure, AKS, Azure OpenAI, Azure AI Search, Azure Blob Storage, PostgreSQL, Grafana, ArgoCD, GitLab, PagerDuty, or similar enterprise platform technologies
• Experience working with globally distributed engineering teams across India, North America, and Europe