Product Engineer (Full-stack, AI-assisted) | WFH

Cloudstaff; Philippines; Remote; PHP 1,800,000 - 3,000,000; Full time

Job summary

Cloudstaff is seeking senior engineers who own features end-to-end, from idea through plan, build, test, and release. You will collaborate with product, design, and stakeholders to shape solutions, manage dependencies, and deliver high-quality outcomes on complex projects.

You will work across .NET backend and React frontend, using AI tools to speed up delivery while preserving quality, and you will write robust automated tests (Playwright) to ensure reliability and maintainability of systems.

Qualifications

• Extensive experience designing scalable systems and APIs.
• Proven track record delivering end-to-end features.
• Strong collaboration with product and design teams.
• Hands-on with automated testing using Playwright.

Responsibilities

• Own features end-to-end from idea to release.
• Collaborate with product, design, and stakeholders to define requirements.
• Break work into vertical slices delivering real user value.
• Create implementation plans covering risks and dependencies.
• Build across .NET (backend) and React (frontend).
• Leverage AI tools to accelerate development while maintaining quality.
• Write and maintain automated tests (Playwright) and demo frequently.

Skills

End-to-end ownership

System design

API design

Stakeholder communication

Critical thinking

Education

Bachelor's degree in Computer Science or related field

Tools

Playwright

GitHub Copilot

Claude Code

React

.NET

Job description

About the role

We’re moving towards a model where engineers own features end-to-end.

With AI speeding up implementation, coding is no longer the bottleneck. The focus has shifted to understanding problems, shaping solutions, managing dependencies, and delivering high-quality outcomes.

We’re looking for senior engineers who are comfortable taking a feature from idea → plan → build → test → release, while working closely with stakeholders and product teams.

What you’ll be doing

• Own features end-to-end (planning → implementation → testing → handover)
• Work directly with product, design, stakeholders, and other teams to understand requirements
• Break work into vertical slices that deliver real user value
• Create clear implementation plans (approach, edge cases, risks, dependencies)
• Build across .NET (backend) and React (frontend)
• Use AI tools (Claude, Copilot, etc.) to accelerate development
• Write and maintain automated tests (Playwright for E2E)
• Demo early, gather feedback, and iterate quickly
• Identify and manage dependencies proactively to avoid rework

Solid system design & engineering fundamentalsExperience designing and buildingscalable, maintainable systemsStrong understanding of APIs, data flow, and application architectureAble to makepragmatic design decisionsbalancing short-term delivery with long-term maintainabilityStrong product mindsetComfortable engaging with stakeholders and asking the right questionsAble to understand the "why" behind a featureCan work with ambiguous requirements and shape them into clear solutionsEnd-to-end ownershipCan take a loosely defined feature and drive it through to deliveryDoesn’t rely on fully defined tickets to get startedTakes accountability for both outcome and qualityStrong slicing and planning skillsCan break down features intowell-sized vertical slices (~1–2 daychunks)Keeps work small enough to review and test effectivelyAvoids both over-granular tasks and overly large "epic-sized" workQuality-first mindsetBuilds with testing and reliability in mindExperience withunit, integration, and E2E testing (Playwright preferred)Thinks through failure scenarios, not just happy pathDependency and change managementProactively identifies dependencies across teams or systemsFlags risks early and works to minimise reworkComfortable operating in environments where things change mid-streamDesirable -AI-assisted development (practical, not theoretical)Experience using tools likeClaude Code, GitHub Copilot (or similar)Treats AI as an accelerator - validates output, handles edge cases, and maintains code qualityUses AI to speed up delivery without increasing risk