Senior AI Security Engineer

Навыки

• AI-агенты
• AI-инструменты в работе
• AWS
• CI/CD
• Code review
• DevSecOps
• Форензика и реагирование

О компании и продукте

• Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
• Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
• Scopely is looking for a Senior AI Security Engineer to join our Gen AI team in Bangalore!

Задачи

• 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

Требования

• 5+ years in SRE, 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
• Interest in AI systems, agent runtimes, and MCP-style integration risks is highly valuable
• 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

Будет плюсом

• Wiz, CrowdStrike, Orca, GuardDuty, WAF / RASP-style controls, MCP / agent telemetry

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