Software Engineer

InDebted is a global fintech company on a mission to reinvent the collections experience through technology, data, and empathy. The Automate team is at the heart of this transformation, focused on eliminating manual processes and enabling scalable, self-serve solutions for our internal operations and clients. We leverage modern software engineering practices and AI tools to drive efficiency, reliability, and innovation across the business.

• Event Sourcing: Our core systems are built on event sourcing principles, enabling robust audit trails, traceability, and flexible workflows.
• Golang: We use Go as our primary backend language for building scalable, maintainable, and high-performance services.
• AWS Lambda & Serverless: Our infrastructure is cloud-native, leveraging AWS Lambda and other serverless technologies for cost-effective, scalable compute.
• AWS Ecosystem: We make extensive use of AWS services (S3, DynamoDB, SQS, SNS, etc.) to power our automation and data pipelines.
• Automation & AI: We integrate AI tools (GPT, Copilot, Claude, Cursor) and build internal automation to accelerate delivery and reduce manual work.
• CI/CD & Infrastructure as Code: We use modern DevOps practices, including CI/CD pipelines and infrastructure as code (Terraform, CloudFormation).
• Monitoring & Observability: Our systems are instrumented for observability, leveraging tools like Datadog and CloudWatch.

We are seeking a Mid-Senior Software Engineer to join the Automate team. In this role, you will:

• Automate internal processes: Design, build, and maintain software solutions and leverage AI tools to automate and streamline the company’s internal operations.
• Support and triage Collect platform requests: Take ownership of triaging and resolving Collect platform support requests, working towards full automation or self-service for recurring issues.
• Stakeholder communication: Own communication with key stakeholders throughout the triage and resolution process, ensuring clarity, transparency, and alignment.
• Mentorship: Support and mentor less experienced engineers and data analysts within the team, fostering a culture of learning and growth.

• Build and maintain automation solutions that reduce manual work and improve operational efficiency.
• Proactively identify opportunities to leverage AI and internal tooling to solve business problems.
• Triage, investigate, and resolve Collect platform support requests, collaborating with product, data, and operations teams as needed.
• Communicate effectively with stakeholders, providing regular updates and managing expectations.
• Document solutions, runbooks, and best practices to enable knowledge sharing and future automation.
• Mentor and support junior engineers and data analysts, providing guidance, code reviews, and technical leadership.
• Contribute to a positive, inclusive, and high-performing team culture.

• Strong technical skills in software engineering, with experience in automation, scripting, and/or AI tool integration.
• Hands-on experience with Golang, AWS Lambda, and event sourcing architectures.
• Familiarity with AWS services (S3, DynamoDB, SQS, SNS, etc.) and serverless/cloud-native patterns.
• Demonstrated ability to deliver high-quality, maintainable, and testable code.
• Experience triaging and resolving support requests, ideally in a platform or operations context.
• Excellent communication skills, with a track record of effective stakeholder management.
• Experience mentoring or supporting less experienced team members.
• Proficiency with AI tools (e.g., GPT, Copilot, Claude, Cursor) and a willingness to experiment with new technologies.
• Comfortable working in a hybrid environment (Sydney-based, in-office Tue–Thu preferred).
• Alignment with InDebted’s values: ownership, curiosity, resilience, and a focus on impact.

This role is mapped to the company’s expectations for Software Engineer and Senior Software Engineer, including:

• Engineering Craft: Write clean, maintainable, and testable code; design robust solutions; improve codebases and workflows.
• Technical Leadership: Mentor peers, lead technical discussions, and drive team alignment.
• Execution Accountability: Deliver reliably, plan effectively, and communicate progress and risks.
• Product Impact: Understand user needs, shape solutions, and align engineering work to business outcomes.
• Value Alignment: Model ownership, adaptability, and a solution-oriented mindset.
• Tooling & Innovation: Drive automation, leverage AI, and improve team effectiveness through tooling.

• Practical assessment of technical and AI workflow skills
• In-person interview rounds (hybrid: Sydney-based preferred)
• Focus on communication, problem-solving, and alignment with company values

• Be part of a team driving real change through automation and AI
• Work on impactful problems that touch every part of the business
• Collaborate with talented, mission-driven colleagues
• Grow your skills in a supportive, learning-focused environment
• Help shape the future of collections technology