Senior Python Engineer

A leading global enterprise software company specialising in data quality, governance, and trust — helping organisations worldwide ensure their data is accurate, accessible, and reliable. Their platform delivers AI-driven automation for data quality and governance, continuously monitoring, improving, and explaining data reliability across complex enterprise and multi-agent environments. The team is distributed globally and operates with a culture built around collaboration, customer-centricity, candor, and high ambition.

This role sits within the Core Engineering team, responsible for building a self-service, cloud-based enterprise web application that scales across every dimension — serving some of the world's most demanding enterprise clients, where releases must meet rigorous security standards and enterprise-grade SLAs.

You will collaborate on improving the platform's architecture and streamlining the release process for rapid time-to-value, while helping to decouple a predominantly monolithic application so that feature teams can deliver updates swiftly and independently. You will build user-friendly features that support clients through their data management transformation and take end-to-end ownership from feature development through to achieving ambitious SLAs across hundreds of customer environments.

The role involves working with fully multi-tenant systems, message queue services, and distributed systems environments, as well as collaborating on implementing AI-based features into the platform at scale. You will be expected to write clean, well-designed, documented, and testable code, with a strong emphasis on quality, consistency, and delivery speed — ensuring code is ready for deployment and operation in cloud environments.

• Strong experience in Python, ideally with FastAPI; Java expertise is also welcomed

• Comfortable with REST API and GraphQL for service communication

• Familiarity with AWS and/or Azure and common managed services (e.g. Aurora Serverless, managed AKS/EKS)

• Solid experience with Kubernetes, Helm charts, and related orchestration technologies

• Experience building fully multi-tenant and distributed systems, and working with message queue services like RabbitMQ

• General tech stack exposure expected: Java, Spring Boot, Kotlin, GraphQL, Python, FastAPI, jOOQ (backend); Aurora, PostgreSQL, Elasticsearch, S3 (storage); CI/CD pipelines, Kubernetes, AWS, Azure (infrastructure); TypeScript, React/Vue, Apollo, Nx, MobX (frontend); Spark, Redshift, Snowflake (big data)

• Enjoys tackling complex applications and diving into research when intricate algorithms or data structures are needed

• Passionate about building secure cloud applications

• Comfortable taking end-to-end ownership of software engineering and operations

• Iterative mindset — prefers shipping and improving over over-engineering the first version

• Hybrid work arrangement based in Hanoi, Vietnam

• Full-time employment with full compensation during the probation period

• 13th-month salary

• 15 days of annual vacation leave

• Premium healthcare coverage

• Online company language courses

• Company-sponsored access to Udemy for continuous skills development

• Opportunity to work on a globally recognised, market-leading enterprise platform

• Collaborative, distributed global team with a high-ambition, knowledge-sharing culture