Senior Software Engineer - ReactJS/Python

Senior Full Stack Engineer role on an AI-native team building modern B2B tax software, where you will own features end-to-end, establish robust Playwright E2E automation, and help shape how the team uses AI in engineering workflows while partnering closely with founders and engineers to deliver scalable technical solutions.

Responsibilities

• Build and ship production applications across the full stack using Next.js, React, Python, Django, PostgreSQL, and AWS.
• Design, build, and own the Playwright E2E automation framework, including test architecture, regression coverage, and CI integration.
• Own features throughout their full lifecycle, from solution design and implementation to testing, deployment, and post-release support.
• Make sound architectural and technical trade-off decisions independently.
• Perform constructive code reviews and help establish high engineering standards across the team.
• Identify inefficiencies in development and engineering processes and implement improvements.
• Establish appropriate automated test coverage across E2E, integration, and unit testing.
• Work closely with founders and stakeholders to translate business needs into practical technical solutions.
• Use AI tools daily for coding, debugging, planning, testing, documentation, and code review, and develop AI-powered workflows, prompts, automations, agents, or integrations to improve engineering productivity.
• Share effective AI practices and help improve the team's overall AI fluency.
• Contribute effectively in a small, collaborative environment where engineering, QA, DevOps, and product responsibilities may overlap.

Required Qualifications

• 6+ years of experience building and shipping production web applications.
• Strong production experience with React and Next.js.
• Strong backend development experience with Python and Django.
• Hands-on experience with PostgreSQL, including schema design, migrations, and query optimization.
• Hands-on Playwright E2E testing experience, preferably including designing and owning an automation suite from the ground up.
• Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or equivalent).
• Hands-on AWS experience, particularly ECS/Fargate, RDS, and S3.
• Comfortable working in a Terraform-managed environment.
• Demonstrated experience using AI tools as part of the daily software engineering workflow.
• Strong understanding of software architecture, engineering trade-offs, and automated testing strategies.
• Experience owning features from design through production support.
• Strong communication and collaboration skills.
• Comfortable working with an Australian-timezone team.

Preferred Qualifications

• Experience designing and owning an E2E automation suite from the ground up.
• Experience developing AI-powered workflows, prompts, automations, agents, or integrations specifically to improve engineering productivity.
• Experience sharing AI best practices to improve team AI fluency.