# Senior Domain Expert at Telstra

Telstra is hiring a Senior Domain Expert in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Telstra](https://jobsbylevel.com/go/93f5cdb9-7493-4483-b7e4-fcc9d2893d43?utm_medium=ai-agent).

AI Level 1, AI centrality 15 out of 100. Bengaluru, Karnataka.

## Details

- Company: [Telstra](https://jobsbylevel.com/companies/telstra)
- AI level: AI Level 1 (score 15 out of 100)
- Location: Bengaluru, Karnataka
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/93f5cdb9-7493-4483-b7e4-fcc9d2893d43?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-domain-expert-at-telstra-a656e1

## Prepare for this job

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## Description

Employment Type Permanent Closing Date 29 Oct 2026 11:59pm Job Title Senior Domain Expert Job Summary The Senior Domain Expert plays a critical role in contributing to high performing teams ensuring the Telstra network delivers a superior network experience for our consumer and business customers. The role combines extensive domain expertise and technical capabilities to influence the team to deliver a great customer experience. Job Description Who We Are Telstra is Australia’s leading telecommunications and technology company spanning over a century with a footprint in over 20+ countries. In India, we’re building a platform for innovative delivery and engagement that will strengthen our position as an industry leader. We’ve grown quickly since our inception in 2019, now with offices in Pune and Bangalore Focus of the role: The TNI Inventory Data Migration Specialist will support the multi-year TNI mission by leading inventory data migration, transformation, validation, and deployment activities. The role requires strong Inventory product knowledge, large-scale migration expertise, and the ability to guide teams through modelling, schema readiness, testing, and production implementation within an enterprise-scale network inventory environment. Key Responsibilities Lead end-to-end TNI inventory migration planning, execution, validation, cutover, and post-migration verification. Drive data modelling, mapping, cleansing, transformation, reconciliation, sequencing, and performance optimization activities. Evaluate Neo4J schemas, graph data models, metadata structures, database relationships, and environment readiness. Define migration validation approach, entry and exit criteria, test coverage, defect triage, and production acceptance checkpoints. Provide technical guidance on TNI data models, migration tooling, solution design, APIs, data quality, and metadata validation. Collaborate with TNI, FIT, partner organizations, Data & AI, Testing, engineering, operations, business stakeholders, and end users. Identify and manage migration risks, dependencies, blockers, environment constraints, and production readiness gaps. Contribute to technical governance of the multi-tenanted TNI platform, ensuring scalability, security, reliability, and maintainability. Mandatory Skills and Experience Strong functional and technical knowledge of Inventory products, lifecycle, data structures, modelling patterns, integrations, and operations. Proven experience in large-scale data migration, including planning, transformation, reconciliation, validation, performance tuning, cutover, and production verification. Hands-on experience with Java/J2EE, Spring Boot, microservices, Python, Cypher, Neo4J, SQL, SQL+, PostgreSQL, databases, and data modelling. Experience with graph schema evaluation, query design, metadata validation, CI/CD, containerization, deployment controls, and production readiness. Strong communication and stakeholder management skills across architecture, engineering, testing, data, operations, partner, and business teams. Preferred Skills Exposure to Agentic AI, MCP, LLM-enabled use cases, AI-assisted engineering, automation, and migration accelerators. Understanding of TMF APIs, ODATA APIs, API-led integration, inventory data exposure, and enterprise interoperability. Awareness of autonomous network principles, closed-loop operations, automation maturity, and future network operating models. Platform and Integration Experience Experience with Kubernetes, service mesh, GitLab, CI/CD pipelines, containerized deployments, and cloud-based delivery environments. API-first design awareness across REST, GraphQL, TMF APIs, ODATA APIs, and enterprise integration patterns. Ability to support scalable, secure, resilient, observable, and maintainable enterprise platform capabilities. Success Measures Governed migration pathway covering schema readiness, validation strategy, environment preparedness, and deployment planning. Improved migration

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