Java - Senior Software Engineer

Skill Set - Java, AWS Cloud

Skill to Evaluate - Java, AWS Cloud, AWS

Location - Sydney

Job Description

Senior Software Engineer – Flow Platform (Java)

Key Skills & Technical Expertise

• Strong experience designing, architecting, and developing scalable, enterprise-grade platforms and applications
• Proficient in AWS with hands-on experience using:
• EC2, Lambda, DynamoDB (DDB), S3
• Exposure to Kinesis, Firehose, CloudWatch, Aurora, Step Functions
• Infrastructure as Code using CDK and CloudFormation
• Security and compliance tooling such as Snyk
• Proficient in at least one core tech stack:
• Java with Spring Boot
• Experience designing RESTful APIs and well-defined service contracts
• Familiarity with event-driven architectures
• Hands-on experience with CI/CD pipelines and Infrastructure as Code (IaC)
• Strong background in distributed systems and microservices architecture

Key Responsibilities

• Design, build, and deliver large-scale, highly available, resilient, and scalable enterprise services on AWS cloud-native technologies
• Architect solutions that meet performance, reliability, and scalability standards using industry best practices
• Partner closely with Principal Engineers and the Chief Engineer to:
• Create, present, validate, evolve, and execute architectural designs
• Act as a hands-on engineer, delivering critical components while reviewing and guiding team member contributions
• Demonstrate deep expertise in database design, performance optimization, and integration, with hands-on experience in:
• Relational databases (Aurora)
• NoSQL databases (DynamoDB)

AI & Intelligent Automation

As part of a modern workflow platform, the team is progressively introducing AI-driven capabilities to enhance productivity, decision-making, and platform intelligence. In this role, you will play a key part in shaping the practical and responsible use of AI.

Responsibilities Include:

• Design and integrate AI-assisted capabilities into workflow and platform services, such as:
• Workflow and rules inference from structured and semi-structured data
• Intelligent routing, classification, and recommendation engines
• AI-assisted validation, schema evolution, and decision support
• Collaborate with platform and security teams to ensure AI solutions are safe, explainable, auditable, and compliant
• Define architectural patterns for:
• Invoking LLMs or AI services within long-running workflows
• Handling retries, fallbacks, timeouts, and determinism in AI-powered steps
• Versioning, traceability, and auditing of AI-influenced decisions
• Evaluate build vs. buy approaches for AI capabilities, comparing managed cloud services with in-house solutions

Nice-to-Have Qualifications

• Experience with workflow orchestration or BPMN-based platforms such as Camunda or Temporal
• Experience building low-code or metadata-driven platforms
• Background in financial services or other highly regulated industries
• Experience designing and implementing complex workflows
• Exposure to rules engines such as Drools or equivalent