Senior Consultant - Java + AWS + AI Specialist

Our purpose

Here at Datacom, we connect people and technology to solve challenges, create opportunities and discover new possibilities for the communities we live in.

Our Why

Datacom works with organisations and communities across Australia and New Zealand to make a difference in people’s lives and help organisations use the power of tech to innovate and grow.

Become a Trusted Architect in Java Innovation, AWS and Applied AI!

If so, we're looking for a Senior Consultant - Java + AWS + AI Specialist to join our growing team!

About the Role (your why)

You will play a key role in driving successful client engagements and delivering exceptional business value through intelligent solutions.

What You'll Do:

• Java Development Leadership: Lead and contribute to the implementation of complex Java back-end services, ensuring adherence to coding standards, performance, and best practices.
• AI Solution Design & Implementation: Design, architect, and implement AI features and models within client applications, with a focus on agentic models and advanced natural language processing.
• Solution Design & Architecture: Design and architect robust, cost-effective, and scalable cloud-native applications using modern Java frameworks and AWS services.
• AWS & AI Platform Expertise: 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.
• AI Integration: Integrate AI components, LLMs, and large datasets using Python scripting and Java application logic, ensuring reliable data pipelines and API connectivity.
• Client Consultation & AI Strategy: 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.
• DevOps and Automation: Promote and implement DevOps principles (CI/CD, Infrastructure as Code) to automate deployment and management of Java applications and AI models on AWS.
• Best Practices & Standards: Define and promote Java development, cloud architecture, and responsible AI best practices within client organizations.

What You'll Bring:

• Deep Java Expertise: 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).
• AWS Expertise: Proven experience designing, deploying, and managing complex solutions within the AWS cloud environment.
• AI Application Skills: Hands-on experience developing and integrating AI models into production applications. Knowledge of agentic model frameworks and principles is a strong plus.
• Python and Scripting: Proficiency in Python scripting for data manipulation, model interaction, and API integration.
• Commercial AI Project Experience: Proven experience contributing to or leading commercial AI projects, understanding the full lifecycle from proof-of-concept to production deployment.
• Relevant AWS Service Mastery: In-depth, hands-on knowledge of core AWS services and specific AI services like Amazon Bedrock or SageMaker.
• Consulting & Client Engagement: Proven experience in a consulting role, with a strong focus on client satisfaction and delivering practical outcomes.
• Excellent Communication & Presentation Skills: Ability to effectively communicate complex technical, architectural, and AI concepts to diverse technical and business audiences.
• Relevant Certifications (Preferred): AWS certifications (e.g., AWS Solutions Architect Professional, AWS Machine Learning Specialty) are highly desirable.

Experience Levels:

• Senior level consulting experience is essential.
• Proven experience working with enterprise clients is highly desirable.
• API Development & Integration: Integrate mobile applications with back-end services via RESTful APIs or GraphQL. Experience in back-end technologies, like .NET Core/C#, is a welcome bonus.
• Testing & Quality Assurance: Write and implement unit, integration, and end-to-end tests (e.g., using Jest, Enzyme, or testing-library) to ensure code quality, application stability, and reliability.
• Deployment & Maintenance: Manage the mobile application release lifecycle, including store submissions (Apple App Store and Google Play Store). Implement and maintain CI/CD pipelines for mobile builds (e.g., using Fastlane, Azure DevOps, or AWS Amplify).
• Code Reviews & Mentoring: Actively participate in code reviews, enforce coding standards, and share best practices across the team. Mentor and guide intermediate developers.
• Requirements Analysis & Technical Design: Collaborate with product managers, designers, and stakeholders to refine requirements, assess technical feasibility, and translate them into robust technical designs and architectural decisions.
• Problem Solving & Debugging: Troubleshoot and debug complex issues across the mobile stack, including performance bottlenecks and platform-specific bugs.
• Agile Development: Work effectively within an Agile/Scrum environment, participating in all relevant ceremonies (sprint planning, daily stand-ups, retrospectives).

Key Skills:

• Extensive experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), and JPA/Hibernate.
• Strong AWS experience (EC2, S3, Lambda, RDS, API Gateway, etc.).
• Proficient in Python scripting and experience with AWS SDKs (e.g., Boto3).
• Strong understanding of software architecture principles and design patterns, especially for cloud-native applications.
• Proven experience leading and mentoring a team of developers.
• Excellent communication and interpersonal skills.
• Strong problem-solving and analytical skills.
• Experience with Agile development methodologies.
• Proficiency in database design and management (e.g., MySQL, PostgreSQL, Oracle).
• Knowledge of DevOps practices and tools is a plus.
• Ability to work independently and as part of a team.
• Strong leadership and team-building skills.
• Experience with project management methodologies.
• Must be willing and able to remain hands-on technically, contributing to development efforts.
• (Optional): Experience with back-end technologies such as .NET Core (C#), and related tools (e.g., Entity Framework, SQL Server).

• Be at the forefront of AI-driven software development.
• Work on challenging and impactful projects.
• Collaborate with a talented and innovative team.
• Opportunities for professional growth and development.