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.

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