Senior Software Engineering Lead - TRAMAS Orchestration

About the role

Telstra is hiring a Senior Software Engineering Lead to work within the TRAMAS mission, supporting the design, development and evolution of resilient and scalable orchestration solutions. The role leads and mentors a geographically diverse team of Senior and Junior developers, contributes hands-on technical expertise to the existing TRAMAS orchestration solution and to a new orchestration system using Temporal and micro-services architecture built on TypeScript, and works closely with Product Owners, Service Designers, Architects and Delivery Teams.

Key responsibilities

• Lead and mentor a team of Senior and Junior developers in building a new resilient, scalable TRAMAS orchestration system using Temporal and micro-services architecture on TypeScript.
• Support, debug and build workflows for the existing TRAMAS orchestration solution.
• Provide Level 4 support for errored transitions, using Splunk, AWS Console and MongoDB to find root causes, and work with Service Designers and North and South bound systems.
• Support the Product Owner and Service Designers in designing new transitions and workflows, and help Product and System owners integrate with TRAMAS.
• Stand in for the TRAMAS Product Owner during periods of leave and unavailability.
• Research and develop new orchestration and related technologies, and build, maintain and enhance observability platforms.
• Set up and use Agentic AI workflows to improve development capabilities.

Required profile

• Minimum 7 years of experience as a Solution Architect designing and delivering complex enterprise software and cloud solutions.
• Proven experience with ACMA-regulated number porting processes, regulatory compliance and solution design in regulated environments.
• Deep understanding of telecommunications transition management platforms, including service orchestration, order lifecycle management, activation, disconnection and exception handling.
• Trusted technical leader able to guide architecture, solution design, business analysis, production support and operational troubleshooting.

Required skills

• Cloud, Data and AI Engineering, including Generative AI, Agentic AI concepts, AI-assisted development and prompt engineering.
• Observability and AI cost optimisation.
• Technical leadership and collaboration with Product Owners, Business Stakeholders, Architects, SMEs and Delivery Teams.