Lead Microservices and AI Technical Architect

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

Job Title: Lead Microservices and AI Technical Architect

Contract: 12 months + 2 x 12-month extensions

Location: ACT preferred; Other cities also considered (Hybrid)

Security Clearance: Must be able to obtain Baseline

The role will provide technical leadership, influence system builds and engineering decisions, guide the adoption of AI across the service delivery lifecycle, and ensure capability transfer occurs throughout delivery.

Key Duties and Responsibilities

The successful candidate will be required to:

• Provide technical leadership and architectural authority for the design, governance and evolution of cloud-native, microservices-based and AI-enabled platforms, ensuring alignment with enterprise architecture, security and business transformation objectives.
• Lead the establishment of modern engineering and AI delivery practices, including AI-enabled Software Development Lifecycle (SDLC), DevSecOps, CI/CD, observability, automated testing and platform engineering standards that support secure, scalable and reliable service delivery.
• Drive technology modernisation and platform adoption, including microservices enhancement, containerisation, integration of enterprise systems and implementation of reusable patterns that improve scalability, maintainability and operational resilience.
• Build organisational capability and technical maturity through knowledge transfer, engineering governance and leadership of multidisciplinary teams, fostering engineering excellence and continuous improvement.

About the Project

The client is establishing first enterprise Microservices and Event-Driven Architecture foundations and embedding AI-enabled engineering practices across the software delivery lifecycle.

The role will:

• Provide technical leadership.
• Influence system builds and engineering decisions.
• Guide the adoption of AI across the service delivery lifecycle.
• Ensure capability transfer occurs throughout delivery.

Extensive experience designing, implementing and governing cloud-native, microservices and event-driven architectures within complex enterprise environments, delivering scalable, resilient and secure business-critical platforms.

2. AI Engineering & AI-Enabled Solution Delivery

Demonstrated expertise in AI engineering and AI-enabled solution delivery, including the development, deployment and operationalisation of enterprise AI capabilities, semantic search, machine learning solutions and responsible AI practices.

3. Software & Platform Engineering

Strong software engineering and platform engineering capability, including modern development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.

Proven ability to lead enterprise technology modernisation and transformation initiatives, providing technical direction, influencing architecture decisions and delivering measurable improvements in platform reliability, security, scalability and engineering maturity.

5. Stakeholder Engagement, Communication & Leadership

Exceptional stakeholder engagement, communication and leadership skills, with demonstrated experience leading multidisciplinary teams, delivery partners and senior executives, and translating complex business requirements into practical technology outcomes.

1. Container Platforms

Experience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE, including platform automation, governance and workload management.

Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise-scale automation practices.

3. Agile Delivery & Capability Uplift

Experience leading delivery within Agile environments, including coaching geographically dispersed teams, driving capability uplift and fostering a culture of collaboration, innovation and continuous improvement.