Senior Site Reliability Engineer - Security
Scopely is looking for a Senior AI Security Engineer to join our Gen AI team in Bangalore! 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. Suitable backgrounds Site Reliability Engineers or backend engineers with strong automation skills Platform, DevSecOps, or observability engineers who build tooling, not just dashboards Cloud automation engineers with strong logging, tracing, and incident-response instincts Detection or security automation engineers who prefer code, pipelines, and remediation over ticket operations Tech stack Python for automation and workflow integration Infrastructure-as-code (Terraform or Pulumi) Observability concepts: metrics, logs, traces AWS logging, telemetry, IAM-aware diagnostics, and infrastructure scripting CI/CD integration for runtime checks, rollback drills, and policy validation Nice to have: Wiz, CrowdStrike, Orca, GuardDuty, WAF / RASP-style controls, MCP / agent telemetry 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, production engineering, platform operations, or security automation with strong coding ability. Hands-on scripting and...