Site Reliability Engineer - Observability
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Key skills for this role
About the Role
Mirai (a Scopely Studio) seeks a Site Reliability Engineer focused on observability, automation, and runtime reliability for AI platforms. You will build telemetry, automate findings-to-fix loops, and improve production readiness.
Key Skills for This Role
Responsibilities
- Design and operate the telemetry and observability layer for AI platforms
- Build automated findings to fix loops for AI and cloud platforms
- Implement reliability and hardening controls for internal AI systems
- Codify detections, policies, and operational checks as code
- Review platform and AI application changes from a reliability and application hardening perspective
- Own AI platform specific operational readiness and partner with central IT/EAS/SOC teams
- Continuously improve production readiness through automation, post incident learning, and repeatable playbooks
Requirements
- 3+ years in SRE, production engineering, platform operations, or security automation with strong coding ability
- Hands on scripting and coding experience, especially Python
- 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
- Comfortable with incident handling, rollback thinking, SLA/SLO discussions, and evidence driven postmortems
- Interest in AI systems, agent runtimes, and MCP style integration risks
- 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 products
Full Job Posting
About Us
- At Mirai a Scopely Studio, we believe high quality software is about partnership, advocacy, and deep respect for our colleagues.
- With world class games like MonopolyGo, PokémonGo, Marvel StrikeForce, and Star Trek F.C., we're full of trendsetters solving interesting problems on a scale no other gaming company has.
About the role
- We are hiring an 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 reliability 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
- Observability tooling: metrics, logs, traces, OpenTelemetry, Datadog or adjacent stacks
- 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
Responsibilities
- Design and operate the telemetry and observability layer 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 tooling such as Wiz, Astrix, 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 / EAS / SOC teams for escalations, handoffs, and shared incident workflows when needed.
- Continuously improve production readiness through automation, post incident learning, and repeatable playbooks for AI runtime issues.
Qualifications
- 3+ 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.
- Nice to have: Software engineering background beyond scripting, including code review and testing habits.
- Nice to have: Experience with AI agent runtimes, prompt / tool telemetry, or internal platform hardening for LLM powered systems.
- Nice to have: Experience with privacy aware telemetry, compliance oriented logging, or runtime protection products.
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