Lead Platform Reliability Engineer, Global AI Platform & Solutions

The Lead Platform Reliability Engineer (PRE) ensures the stability, performance, and scalability of the shared platform that supports internal AI solution development. It combines software engineering, SRE practices, and operations to keep the platform reliable and developer-friendly.

Position Responsibilities:

• Reliability and performance:
  Define SLOs/SLIs, track operations budgets, reduce MTTR, capacity plan, and tune autoscaling.
• Observability:
  Build and maintain logging, metrics, tracing, and alerting; instrument platform components; create runbooks and dashboards.
• Incident response:
  On-call for platform incidents; triage, mitigate, root-cause, and drive postmortems and corrective actions.
• Automation and tooling:
  Develop self-service capabilities, AIOps/MLOps/Git Ops/CICD pipelines, and operational automations (provisioning, upgrades, backups).
• Infrastructure as code:
  Manage clusters, networks, storage, and policies via Terraform/Ansible; prevent configuration drift.
• Security and compliance:
  Enforce identity/RBAC, secrets management, supply chain security, and regulatory controls; collaborate with risk and audit.
• Scalability and cost:
  Optimize resource usage, plan capacity, control spend (rightsizing, autoscaling, reservations/spot).
• Change management:
  Safe rollouts, progressive delivery, and policy-as-code guardrails.
• Platform productization:
  Treat the platform as a product, define operations SLAs in alignment to product roadmap, service catalog, and developer experience.
• Collaborate with global engineering, security, and AI governance teams to ensure compliance with cross-geo regulations and Asia’s data residency requirements.
• Operate scalable backend services supporting high-traffic agent interactions, retrieval operations, and real-time execution flows.
• Maintain AI services runbooks, playbooks, and enablement for GOCC

Required Qualifications:

• Bachelor’s in Computer Science/Engineering or equivalent experience (not strictly required if skills demonstrated).
• 5-8 years experience in Dev Ops/Platform Engineering or Production Operations.
• Proven track record operating large-scale distributed systems and running on-call.
• Operational experience with cloud-native development:
  Azure, Kubernetes, containers, CI/CD, and observability stacks.
• Knowledge with Python and/or Java/Scala/Type Script for building backend services and automation.
• Understanding of AI solution, LLM systems, retrieval architectures, embeddings, vector stores, prompt/tool orchestration, and agent workflow fundamentals.
• Knowledge of API design, asynchronous workflows, concurrency, reliability engineering (SLOs, error budgets), and performance tuning.
• Familiarity with security, governance, and compliance for AI/data systems (authN/authZ, data protection, audit logging, model governance).
• Ability to collaborate across global teams and translate business requirements into platform capabilities and operational SLAs.

Preferred Qualifications:

• ITIL & ITSM certification
• Azure Administrator/Dev Ops certificate (nice to have)
• Kubernetes: CKA/CKS certificate (nice to have)
• Hashi Corp Terraform Associate certificate (nice to have)

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

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