Senior Software Engineer - AI Platform Security

About Us

At Mirai - a Scopely Studio, we believe high-quality software is about partnership, advocacy, and

deep respect for our colleagues. The best engineers augment their technical ability with listening

first, asking thoughtful questions, and influencing through clarity, not volume. If that's you, you're

going to thrive here and learn a ton!

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. We're

game-changing (literally), and intentional about building a great place to be.

About The Job

We're hiring a Senior Software / Platform Engineer to build secure, reliable "paved roads" for

both AI Engineers & agentic AI systems (LLM apps, agents, and MCP-based integrations).

You'll design and ship guardrails that make the safe path the easiest path - so teams can move

fast without increasing blast radius. We're targeting solid generalist software / SRE engineers.

This is a hands-on builder role with a heavy focus on Security & Reliability, suitable for:

• Backend / Full-stack Software Engineers with DevEx experience building internal tooling
• AI security software engineers
• Site Reliability Engineers
• Platform Engineers
• DevSecOps Engineers (who shipped code!)
  
  

Tech stack

Adjacent tooling is acceptable as long as there's a proven, verifiable track record of delivering

production platforms

• Experience in Golang / Go or Typescript, plus Python
• Test-Driven Development
• Serverless, Containerization (Docker), Kubernetes & GitOps deployment patterns
• AWS IAM & infrastructure services
• Infrastructure-as-code (Terraform or Pulumi)
• CI/CD (GitHub Actions)
• Observability & Tracing
• Nice to have: LangChain, LlamaIndex, and LiteLLm
  
  

Requirements

Responsibilities

• Design and build platform capabilities that enable safe, scalable adoption of AI systems
• across the organization
• Develop secure-by-default platform components (APIs, services, and guardrails) that
• abstract security complexity and allow engineering teams to move quickly
• Establish evaluation and safety gates in delivery workflows, including regression checks,
• model provenance validation, safety testing, and reliability improvements over time
• Identify weaknesses in architectures and implement improvements that strengthen
• prevention, detection, and response capabilities across the AI stack
• Partner with GenAI engineers and cross-functional teams to unify security guardrails,
• telemetry, and developer experience into coherent "golden paths"
• Integrate with enterprise identity systems (SSO, SCIM) and design authorization
• frameworks combining ABAC and ReBAC for agentic and service-to-service access
  
  

Qualifications

• 5+ years of software/platform engineering experience shipping internal tooling,
• developer portal, or developer productivity systems
• Strong software engineering & System Design experience, with architecture instincts
• beyond just coding
• Familiarity with reliability patterns (e.g., observability, rollbacks, GitOps, incident mgmt)
• and secure-by-design thinking
• Strong sense of initiative and interest in AI is essential; you'll be delivering &
• championing secure AI adoption across a global leader in Mobile Gaming, supporting
• titles like Pokémon Go!, Monopoly Go!, and Marvel StrikeForce
• Strong candidates are encouraged to apply even if you don't meet all the requirements
  
  

Nice to have:

• Experienced with Data Intensive Applications & middleware/message brokers
• Experience with AI agent runtimes/tool calling LLMs / MCP-style connectors, sandboxing, or isolation patterns
• Experience with policy-as-code (OPA/Gatekeeper/Kyverno) and developer platform patterns
• Familiarity with AI security, OWASP, threat modeling, Secure Software Development
• Lifecycle (S-SDLC), and adversarial simulations for artificial intelligence systems
• Experience with distributed system design, microservices, scalability, caching, messaging, or MLOps & Data Engineering