Staff Software Engineer

10 hours ago

Adelaide, AustraliaStaff+

Responsibilities

Provide technical leadership and architectural direction for network automation and infrastructure control platforms.
Design and build APIs, services, controllers, and reconciliation workflows for production infrastructure.
Build Kubernetes custom resources and control loops that converge actual state toward declared intent.
Own Kubernetes operations including CRD rollout, RBAC, admission, controller health, Helm packaging, deployment drift, and incident diagnosis.
Design distributed workflows with eventual consistency, at-least-once delivery, concurrent writes, idempotency, and safe recovery.
Design versioned APIs, schemas, and data models with backward compatibility across team boundaries.
Develop multi-tenant infrastructure platforms with tenant isolation, authorization, policy enforcement, and safe automation boundaries.
Establish testing, observability, CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery practices.
Lead complex migrations and modernization of automation, services, and data models.
Drive technical alignment across software engineering, networking, operations, and architecture teams.
Mentor engineers, lead technical and design reviews, and raise software engineering standards.

Deep expertise in a backend language such as Python, Go, Rust, or Java, including asynchronous concurrency, static typing, data modeling and validation, API development, packaging, and tooling.
Strong experience building Kubernetes controllers or operators with custom resources and reconciliation or control-loop patterns.
Strong experience building event-driven distributed systems involving eventual consistency, at-least-once delivery, idempotency, optimistic concurrency, and partial-failure handling.
Experience designing self-service, multi-tenant platforms with tenant isolation, policy, and access control.
Strong API and schema design skills, including versioning and schema evolution.
Demonstrated technical leadership across team boundaries, architectural design, stakeholder alignment, and engineering mentorship.
Track record of taking ambiguous, technically complex problems from architecture through reliable production systems managing large-scale infrastructure.
Networking fundamentals such as BGP, IP fabrics, VXLAN, EVPN, or L3VPN are preferred.
Working knowledge of Go is preferred.
Experience designing testing and observability strategies for production infrastructure automation is preferred.
Experience with graph databases or source-of-truth systems that model infrastructure and relationships is preferred.