Python/Django Senior Full Stack Engineer for AI-native B2B Tax Software (Remote)
Company: Manila Outsourcing Solutions OPC
Location: Makati, Metro Manila (Remote)
Salary: ₱175,000 – ₱200,000 per month
Type: Full-time
Remote: Yes
Posted: 2026-09-28
About this role
About the role
You'll join as a senior engineer expected to deliver, lead by example, and raise the bar across the team. Your first major piece of work will be the E2E test automation; once that's established you'll move into full feature delivery alongside the rest of the team. You'll ship production code across the full stack — Next.js / React on the frontend, Django / Python on the backend, PostgreSQL, AWS hosted. You'll work directly with founders to translate business needs into technical solutions.
Key responsibilities
- Ship production code across the full stack — Next.js / React on the frontend, Django / Python on the backend, PostgreSQL, AWS hosted
- Own Playwright E2E automation — design the suite architecture, automate regression coverage across the application, and wire it into CI so it runs fast and stays stable with minimal ongoing maintenance
- Own features end-to-end: solutioning, implementation, Playwright E2E coverage, code review, deployment, post-release support
- Set the standard for AI-native engineering — bring your tooling, your workflows, and your opinions on how we use AI better
- Identify and fix inefficiencies in our processes
- Review others' work constructively and level up the rest of the team
- Work directly with founders to translate business needs into technical solutions
About you
- 6+ years building and shipping production web applications
- Playwright E2E testing — demonstrable experience designing and owning a suite, not just adding tests to an existing one (comparable frameworks considered with equivalent evidence)
- Senior-level Next.js and React on real production systems
- Strong Python and Django
- PostgreSQL — schema design, query optimisation, migrations
- AWS — ECS Fargate, RDS, S3 at a minimum, comfortable working in a Terraform-managed environment
- CI/CD pipeline fluency — GitLab, GitHub Actions, or similar
- Demonstrable AI-native workflow
- Comfortable working with an Australian-timezone team
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