Staff Engineer (Engineering Observability)
New
AustraliaFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- DatadogDistributed Systems
Requirements
- Extensive experience in observability engineering, platform engineering, or similar infrastructure-focused roles in large-scale environments.
- Strong expertise in SLIs/SLOs, telemetry design, distributed systems observability, and reliability engineering principles.
- Hands-on experience designing and implementing observability pipelines using tools such as OpenTelemetry and modern telemetry stacks.
- Experience with observability platforms such as Datadog (or equivalent tools).
- Proven ability to design scalable architectures for logs, metrics, traces, and event-driven monitoring systems.
- Strong influence and stakeholder management skills, with the ability to drive alignment across multiple engineering teams.
- Passion for building engineering standards, frameworks, and reusable solutions that improve developer productivity.
- Excellent communication skills and the ability to translate complex technical challenges into clear, actionable guidance.
Responsibilities
- Define and drive the organisation’s observability strategy, aligning technical initiatives with key customer journeys and measurable reliability outcomes.
- Design and evolve end-to-end observability architectures, including telemetry pipelines, instrumentation frameworks, and OpenTelemetry-based solutions.
- Establish and enforce best practices for metrics, logs, traces, tagging, alerting, and incident response across engineering teams.
- Develop SLI/SLO frameworks to improve service reliability, visibility, and operational decision-making.
- Build scalable “paved roads,” reusable patterns, and tooling to simplify adoption of observability practices.
- Partner with engineering, product, and platform teams to integrate observability into the full software development lifecycle.
- Improve signal quality, alerting systems, and incident response workflows to accelerate detection and resolution of issues.
- Provide technical leadership and mentorship, influencing engineering practices across multiple teams without formal authority.
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