Senior Platform Reliability Engineer

Scopely is looking for a Senior Platform Reliability Enginee r to join our Gen AI team in Mexico City! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. For this role, we are seeking an experienced SRE focused on observability, automation, and runtime reliability for AI platforms and internal agentic systems. This is not a generic SOC role. It is an engineering role for someone who builds telemetry, automates findings-to-fix loops, improves production readiness, and keeps AI systems measurable, resilient, and controllable in production. What You’ll Do Design and operate observability layers for AI platforms, including audit trails, tool-call logs, correlation IDs, traces, and runtime visibility across service boundaries. Build automated findings-to-fix loops for AI and cloud platforms, integrating signals from CSPM tooling or future AI security products into pragmatic remediation workflows. Implement reliability and hardening controls for internal AI systems, including alerting, health checks, rollback drills, kill-switch validation, rate limiting, and drift detection. Codify detections, policies, and operational checks as code where they reduce toil, prevent regressions, and improve platform control. Review platform and AI-application changes from a reliability and application-hardening perspective, especially around secrets, telemetry, external calls, risky MCP usage, and production readiness. Own AI-platform-specific operational readiness and partner with central IT / SOC teams for escalations, postmortems, and shared incident workflows. Continuously improve production readiness through automation, post-incident learning, and repeatable playbooks for AI runtime issues. What We’re Looking For 5+ years in SRE, DevOps, production engineering, platform operations, or security automation with strong coding ability. Hands-on scripting and coding experience, especially Python, with comfort working against APIs, log pipelines, and automation workflows. Experience building pragmatic observability and alerting systems in AWS or comparable cloud environments. Ability to reduce operational toil through automation while keeping signal quality high and false positives manageable. Comfortable with incident handling, rollback thinking, SLA / SLO discussions, and evidence-driven postmortems. Experience with infrastructure-as-code (Terraform or Pulumi) and integrating runtime checks, rollback drills, or policy validation into CI/CD workflows. Interest in AI systems, agent runtimes, and MCP-style integration risks. Strong understanding of observability and reliability, including metrics, logs, traces, alerting, incident response, rollback strategies, and SLA/SLO management. Bonus Points Software engineering background beyond scripting, including code review and testing habits. Experience with AI agent runtimes, prompt / tool telemetry, or internal platform hardening for LLM-powered systems. Experience with privacy-aware telemetry, compliance-oriented logging, or runtime protection. Experience with Wiz, CrowdStrike, Orca, GuardDuty, WAF/RASP controls, MCP/agent telemetry, privacy-aware telemetry, compliance logging, or runtime protection. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Com