AI Resilience Engineer

2 weeks ago

Melbourne, Victoria, Australia beBeeProduct Full time
AI Resilience Engineer

We are seeking a skilled AI Resilience Engineer to join our team. The ideal candidate will have strong collaboration and communication skills, with the ability to effectively communicate technical updates to diverse audiences.

The successful candidate will have proven Product Ownership experience in technology operations, SRE, or platform enablement products in large/regulated organisations.

Strong familiarity with SRE and resiliency practices is also required, including SLIs/SLOs, error budgets, incident/major incident management, post-incident review, chaos testing, DR/BCP, and capacity/performance engineering.

The engineer will be comfortable with modern observability and AIOps ecosystems, including Prometheus/Grafana, Splunk/Elastic, Datadog, Dynatrace/New Relic, Open Telemetry; PagerDuty/Opsgenie; Kubernetes; public cloud; automation/runbooks.

Demonstrated ability to reduce alert fatigue and operational toil through correlation, deduplication, enrichment, and automation; measurable impact on MTTR/MTTD and service availability.

The ideal candidate will be skilled in Agile delivery, product discovery, and OKR-driven prioritisation; adept with Jira and Confluence; excellent storytelling and executive communication.

Experience working within risk, security, privacy, and compliance frameworks; able to align with operational resilience standards and regulatory expectations.

The successful candidate will be curious, resilient, and bias-to-action – comfortable challenging assumptions, asking the hard questions, and unblocking delivery in a complex, matrixed environment.

Key Responsibilities:
  • Own the product vision and roadmap for AI Ops (Resilience) capabilities.
  • Lead a cross-functional squad to deliver incremental value.
  • Partner with SRE, platform, cloud, and application teams to instrument SLIs/SLOs, reduce MTTR/MTTD, and industrialise practices.
  • Integrate AIOps with core operational tooling and processes.
  • Translate operational pain points into clear requirements and acceptance criteria.
  • Navigate complex stakeholder landscapes, aligning priorities, managing dependencies, and balancing innovation with control obligations.
  • Embed Responsible AI guardrails in operational use cases.
  • Drive adoption, enablement, and change management at scale.
  • Remain current on AI and reliability trends, applying them pragmatically to real environments.
Requirements:
  • Proven Product Ownership experience in technology operations, SRE, or platform enablement products in large/regulated organisations.
  • Strong familiarity with SRE and resiliency practices.
  • Comfortable with modern observability and AIOps ecosystems.
  • Skilled in Agile delivery, product discovery, and OKR-driven prioritisation.
  • Excellent storytelling and executive communication.
  • Experience working within risk, security, privacy, and compliance frameworks.
  • Curious, resilient, and bias-to-action.
Benefits:
  • Hybrid work flexibility, part-time options, job sharing, and adjustable hours.
  • Opportunity to work with cutting-edge AI tools and capabilities.
  • Collaborative and dynamic work environment.

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