Hybrid Senior Observability Engineer for HPC & AI Infra

Sharon AI, Inc; Australia; Hybrid; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid working

Employee Assistance Program (EAP)

Learning & development

Novated leasing

Employee of the month

Job summary

Sharon AI, Inc is seeking an Observability Engineer to own end-to-end observability across HPC, AI infrastructure and data centre environments. You will design telemetry, dashboards and alerting, enabling proactive performance optimisation and rapid incident resolution.

Join a fast-growing Australian neocloud with hybrid working, and a strong emphasis on automation, CI/CD integration and data-driven decision-making across IT operations.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering or a related technical discipline.
• 5–10 years' experience in Observability Engineering, Site Reliability Engineering (SRE), Platform Engineering or Infrastructure Operations.
• Strong understanding of HPC architectures, including GPU and CPU compute environments, cluster-based workloads and parallel computing frameworks.
• Experience with observability platforms such as Prometheus, Grafana, OpenTelemetry, Splunk, ELK Stack or equivalent.
• Experience monitoring high-performance networking technologies, including InfiniBand, RDMA and low-latency networking environments.
• Strong scripting or programming capability using Python, Bash, Go or similar technologies.
• Working knowledge of ITIL service management principles, particularly Incident, Problem and Change Management.
• Strong stakeholder management and communication skills.

Responsibilities

• Design and maintain observability frameworks across compute, storage, networking and physical infrastructure environments.
• Deploy and manage telemetry platforms for metrics, logs and traces using industry-standard observability tools.
• Develop dashboards, visualisations and reporting capabilities that provide actionable operational insights.
• Monitor and analyse HPC and AI workloads, including GPU, CPU compute, storage and network performance.
• Support performance benchmarking, capacity planning and infrastructure scaling initiatives.
• Develop intelligent alerting and anomaly detection capabilities, support incident response and conduct root cause analysis for critical events.
• Build automation solutions for telemetry collection, analysis and operational reporting, and integrate observability into CI/CD and IaC practices.
• Partner with engineering, operations, service management and customer-facing teams to translate complex technical data into clear recommendations.
• Maintain documentation, standards and operational procedures aligned with ITIL processes.

Skills

Observability

Site Reliability Engineering

Platform Engineering

Python

Bash

Go

ITIL

Stakeholder management

Education

Bachelor's degree in Computer Science, Information Technology, Engineering or related technical discipline

Tools

Prometheus

Grafana

OpenTelemetry

Splunk

ELK Stack

Job description

Sharon AI, Inc is seeking an Observability Engineer to own end-to-end observability across HPC, AI infrastructure and data centre environments. You will design telemetry, dashboards and alerting, enabling proactive performance optimisation and rapid incident resolution.

Join a fast-growing Australian neocloud with hybrid working, and a strong emphasis on automation, CI/CD integration and data-driven decision-making across IT operations.