Senior Data Engineer

Infosys Sydney, New South Wales, Australia About Us Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritise the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Job Description Location: Sydney, New South Wales, Australia Salary Range: – AUD Annual Gross Infosys is seeking a highly skilled and motivated Lead Consultant to join our DNA team. As a Senior AI Engineer, you will blend strong back‑end engineering skills with practical AI/LLM expertise to design and deliver high‑quality, AI‑enabled software. You will lead or collaborate with a cross‑functional team of software engineers, DevOps engineers, QA, and product owners to build robust distributed systems that incorporate modern AI capabilities, particularly Large Language Models (LLMs). Responsibilities Architect and implement high‑throughput APIs that integrate with and leverage AI services Make key architectural decisions on API security, scalability, reliability, and how to incorporate LLMs (OpenAI, Anthropic, etc.) into our platform Lead integration solutions using Spring Boot 3.x, reactive patterns (WebFlux), and API gateways (Apigee) while mentoring other developers Champion improvements in integration best practices (performance, security) with a focus on enabling AI‑driven applications and ensuring efficient content retrieval workflows where relevant Partner with Product Owners to shape technical requirements and best approaches for AI‑enabled product features, translating business goals into architectural designs Lead API design reviews and architecture discussions focusing on AI integration and alignment with our broader microservices ecosystem Foster a culture of knowledge sharing, especially around LLM usage, integration patterns, and AI code assistants (GitHub Copilot, etc.) Drive alignment with Platform Engineering and MLOps practices, ensuring automated deployment of AI‑enabled services Decision Making Scope Architectural direction for integration patterns that incorporate AI components (e.g., RAG, models, agents) Technology choices for new solutions around Gen AI usage, vector databases, and AI frameworks (SpringAI, LangGraph, LangChain, CrewAI) API standards and security patterns SLA and performance requirements Technical Requirements 8+ years of commercial software development, focusing on integration/APIs Expert knowledge of Spring Framework ecosystem (particularly Boot 3.x, Security, WebFlux) Mastery of API security, including OAuth2, JWT, and API key management Track record of delivering high‑performance, secure system designs Strong command of AWS, Azure or GCP cloud services Experience consuming LLM APIs (OpenAI, Anthropic, etc.), orchestrating prompts or agentic workflows Familiarity with RAG (retrieval‑augmented generation), term/embedding‑based search Daily usage of AI coding assistants (e.g., GitHub Copilot) to speed up development workflows Nice To Have Real‑time data processing and streaming architecture experience Hosting model endpoints using bedrock or similar Graph API implementation experience Experience with Kafka or similar message brokers Skills and Abilities Advanced system architecture and API design capabilities Expert‑level API security implementation knowledge Deep understanding of cloud‑native architectures Strong performance optimisation and troubleshooting skills Advanced DevOps and automation practices At Infosys, we recognise that everyone has individual requirements. If you have a disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email. Please note that in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept unsolicited resumes from third‑party vendors. All recruitment activity must be coordinated through the Talent Acquisition department. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal‑opportunity employer. #J-18808-Ljbffr