Hybrid Technical Lead – Java, AWS, AI Specialist

at Datacom

• Job title: Technical Lead – Java, AWS, AI Specialist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, EC2, Java, Python, Spring, Spring Boot, SpringBoot
• Location requirements: Hybrid, Auckland, New Zealand

About the role

• Technical Lead designing and implementing Java, AWS, and AI solutions for Datacom. Act as trusted advisor to clients, integrating AI capabilities into applications deployed on AWS.

Responsibilities

• Lead and contribute to the implementation of complex Java back-end services, ensuring adherence to coding standards, performance, and best practices.
• Design, architect, and implement AI features and models within client applications, with a focus on agentic models and advanced natural language processing.
• Design and architect robust, cost-effective, and scalable cloud-native applications using modern Java frameworks and AWS services.
• Demonstrate deep expertise in various core AWS services (e.g., EC2, Lambda, EKS) and key AWS AI services (e.g., Amazon Bedrock, SageMaker, Comprehend) and their optimal use within a Java ecosystem.
• Integrate AI components, LLMs, and large datasets using Python scripting and Java application logic, ensuring reliable data pipelines and API connectivity.
• Engage with clients to understand their business requirements and identify high-impact use cases for AI/ML and generative AI, providing commercial experience-backed advice on project feasibility and ROI.
• Promote and implement DevOps principles (CI/CD, Infrastructure as Code) to automate deployment and management of Java applications and AI models on AWS.
• Define and promote Java development, cloud architecture, and responsible AI best practices within client organizations.

Requirements

• Proven mastery of the Java ecosystem for enterprise-level applications, including deep knowledge of modern frameworks like Spring Boot/Spring. (7+ years of relevant experience is essential).
• Proven experience designing, deploying, and managing complex solutions within the AWS cloud environment.
• Hands-on experience developing and integrating AI models into production applications. Knowledge of agentic model frameworks and principles is a strong plus.
• Proficiency in Python scripting for data manipulation, model interaction, and API integration.
• Proven experience contributing to or leading commercial AI projects, understanding the full lifecycle from proof-of-concept to production deployment.
• In-depth, hands-on knowledge of core AWS services and specific AI services like Amazon Bedrock or SageMaker.
• Proven experience in a consulting role, with a strong focus on client satisfaction and delivering practical outcomes.
• Ability to effectively communicate complex technical, architectural, and AI concepts to diverse technical and business audiences.
• AWS certifications (e.g., AWS Solutions Architect Professional, AWS Machine Learning Specialty) are highly desirable.