Lead Microservices & AI Technical Architect

About XPT

• XPT Software Australia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT works with top clients across Australia in Banking, Insurance, Telecom, Retail, Energy, Mining and Manufacturing domains.
  
• We have 120+ technocrats in Australia working at our client locations. 
  
• XPT Software Australia is part of group companies which has global presence across India & Europe.
  
• We have served 100+ clients globally, fulfilling their onsite-offshore needs.
  

Position: Lead Microservices & AI Technical Architect

Security clearance: Must be able to obtain Baseline

Job details

The role will provide technical leadership, influence system builds and engineering decisions, guide the adoption of AIacross the service deliver 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, maintain ability 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.

Criteria

Essential criteria

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

4. 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. 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.

Desirable criteria

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

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

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