Lead Microservices & AI Platform Architect (Hybrid)

ByteSpeed Solutions; Canberra; Hybrid; AUD 200,000 - 260,000; Full time

Job summary

ByteSpeed Solutions in Canberra seeks a Lead Microservices and AI Technical Architect to provide technical leadership across cloud-native, microservices and AI-enabled platforms. Hybrid work options are available.

You will establish modern engineering and AI delivery practices, including AI-enabled SDLC, DevSecOps, CI/CD, observability and platform engineering standards, and guide architecture decisions while enabling capability transfer across teams.

Qualifications

• Extensive experience designing, implementing and governing cloud-native, microservices and event-driven architectures in complex enterprise environments.
• Ability to deliver scalable, resilient and secure platforms at scale.
• Experience with AI-enabled delivery including ML, semantic search and responsible AI practices.
• Strong software and platform engineering capabilities including DevSecOps, CI/CD and observability.
• Excellent stakeholder engagement and leadership across multidisciplinary teams and executives.

Responsibilities

• Provide technical leadership and architectural authority for cloud-native, microservices-based platforms and AI-enabled solutions.
• Lead modern engineering and AI delivery practices (AI-enabled SDLC, DevSecOps, CI/CD, observability).
• Drive technology modernization, container platforms and platform automation.
• Foster engineering maturity through governance, knowledge transfer and cross-team collaboration.

Skills

Cloud-native architecture

Microservices

AI delivery leadership

DevSecOps

CI/CD

Observability

Platform engineering

SRE

Container platforms

Tools

Kubernetes

OpenShift

AKS

EKS

GKE

Job description

ByteSpeed Solutions in Canberra seeks a Lead Microservices and AI Technical Architect to provide technical leadership across cloud-native, microservices and AI-enabled platforms. Hybrid work options are available.

You will establish modern engineering and AI delivery practices, including AI-enabled SDLC, DevSecOps, CI/CD, observability and platform engineering standards, and guide architecture decisions while enabling capability transfer across teams.