Senior Software Engineer (Backend-Leaning Full Stack)

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Backend-Leaning Full Stack) based in Australia.** This role offers the opportunity to build and evolve commercially critical infrastructure for a growing payment technology platform. You will work primarily on backend systems while contributing across the full stack when needed, with an approximate 80/20 backend-to-frontend focus. Your work will span payment and billing integrations, data pipelines, reconciliation, orchestration, notifications, and customer-facing functionality. You will own projects end to end, from understanding business and technical problems through architecture, implementation, testing, and production delivery. The environment emphasizes autonomy, strong engineering judgment, and the ability to make sound decisions without highly prescriptive specifications. AI-assisted development is an important part of the engineering workflow, with an expectation that you can use modern tools while maintaining rigorous technical judgment. This is an ideal opportunity for a self-directed engineer who wants meaningful ownership, fast feedback, and a direct impact on a growing business. ### Accountabilities - Own software projects end to end, from understanding business or technical objectives and designing solutions through implementation, testing, deployment, and production ownership. - Design, build, and maintain reliable backend systems supporting payment recovery, billing, and subscription-related workflows. - Develop and manage integrations with payment providers, third-party APIs, and other external services. - Build robust data models, ingestion pipelines, reconciliation processes, and systems that support accurate and scalable data operations. - Design and improve retry, orchestration, and payment recovery infrastructure with a strong focus on reliability and resilience. - Contribute to machine-learning experiments, performance analysis, and data-driven initiatives that improve product and business outcomes. - Develop and maintain email and push notification workflows, internal tools, and customer-facing product functionality. - Contribute across the frontend when required, working with Next.js and React while maintaining a primarily backend-focused scope. - Make architectural and technical decisions independently, particularly when requirements are incomplete or evolving. - Identify potential failure modes, edge cases, scalability concerns, and operational risks before they affect production systems. - Use AI-assisted development tools to accelerate implementation, prototyping, and problem-solving while carefully reviewing and validating generated code. - Participate in code reviews, sprint planning, reviews, and collaborative engineering practices within a distributed team. - Continuously improve engineering processes, technical solutions, and development practices as the product and business scale. ### **Requirements** - 4+ years of professional software engineering experience. - Strong backend engineering expertise combined with the ability to contribute effectively across the full stack. - Professional experience with Python, Next.js, React, and PostgreSQL is highly relevant to the role. - Proven ability to independently design, build, ship, and maintain production systems. - Strong system design skills and sound technical judgment, with the ability to make effective decisions in ambiguous environments. - Solid experience working with APIs, databases, third-party integrations, and production infrastructure. - Experience with payment systems, fintech, billing, subscription infrastructure, or other transaction-heavy environments is a strong advantage. - Experience building data ingestion, reconciliation, orchestration, or other reliability-critical systems is desirable. - Experience working with multiple third-party services and integrations. - Experience in an early-stage startup or small engineering team is beneficial. - Demonstrated ability to use AI-assisted development tools such as Cursor, Codex, Claude Code, GitHub Copilot, or comparable technologies effectively. - Ability to understand and architect problems before coding, critically evaluate AI-generated code, and explain technical decisions clearly. - Strong understanding of how individual components fit within broader software architectures. - Excellent English communication skills, both written and verbal. - Self-starter mentality with strong ownership, curiosity, adaptability, and problem-solving skills. - Ability to work effectively with approximately 4–6 hours of overlap with teams operating primarily in US Pacific or Central time zones. ### **Benefits** - Full-time opportunity within a growing technology environment. - Fully remote work arrangement. - Significant autonomy over technical decisions and project execution. - Opportunity to own projects from initial problem definition through production delivery. - Meaningful exposure to payment infrastructure, billing systems, data engineering, and machine-learning initiatives. - Opportunity to work with modern technologies including Python, Next.js, React, PostgreSQL, and AI-assisted development tools. - Collaborative distributed engineering environment with regular code reviews and two-week development sprints. - Performance-oriented culture focused on deliverables and business impact rather than hours worked or activity monitoring. - Direct opportunity to influence product and engineering decisions as the business scales. - Opportunity for professional growth within an early-stage, high-ownership environment.