Python Developer
Summary
Hands-on Python developer who designs, builds, and operates production-grade software, APIs, and cloud-native data solutions end to end, using clean architecture, automated testing, CI/CD, observability, and AI-assisted engineering in daily work. Deep Snowflake experience is a strong plus; based in Taguig, Philippines.
An individual contributor who can design, build a production grade software, APIs, Automated Testing, modular applications and cloud native systems.
Key responsibilities
- Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
- Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.
- Partner with business and technical stakeholders to translate requirements into robust data solutions, prioritise delivery, and identify opportunities to enable advanced analytics and AI use cases.
- Use AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.
- Own deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.
About you
- Bachelor's or Master's degree in Computer Science, Software Engineering from top 3 Engineering PH University.
- 4-5 years of professional experience in a hands-on Python software engineering, solution engineering, or data engineering role, with a proven track record of delivering production-grade systems in enterprise environments.
- Deep hands-on Snowflake experience is a great advantage, including data modelling, SQL performance tuning, pipeline integration, access control, cost/performance optimisation, data sharing, and platform governance.