Senior Python Engineer

1. Overview La Voie's client is a global enterprise software company specializing in data quality, governance, and trust — helping organizations worldwide ensure their data is accurate, accessible, and reliable for every decision and system. Their platform brings AI-driven automation to data quality and governance, continuously monitoring, improving, and explaining data reliability across complex enterprise and multi-agent environments. Built around a market-leading data quality engine, it unifies data quality monitoring, cataloging, lineage, observability, and reference data management into a single, quality-first foundation that powers AI, analytics, and operations with confidence. The company has been recognized as a leader in a major industry analyst report for its category. Their team is distributed globally and collaborates closely across time zones, guided by a culture built around collaboration, customer-centricity, candor, and high ambition. 2. Job Description This role sits within the Core Engineering team, building a self-service, cloud-based enterprise web application that scales in every dimension — for some of the world's most demanding enterprise clients, where releases must meet rigorous security standards and enterprise-grade SLAs. Develop a self-service, cloud-based enterprise web application designed to scale extensively. Collaborate on improving the platform's architecture and streamlining the release process for rapid time-to-value, without compromising security standards. Build user-friendly features that support clients through their data management transformation. Help decouple a predominantly monolithic application, enabling feature teams to deliver updates swiftly and independently. Take end-to-end ownership of the product — from feature development to achieving ambitious SLAs across hundreds of customer environments. Develop a deep understanding of data management and design scalable systems capable of handling vast data volumes across the cloud ecosystem and multiple data sources. Write clean, well-designed, documented, and testable code, with a strong emphasis on quality, consistency, and delivery speed. Take ownership of your work end-to-end — code should be ready for deployment and operation in cloud environments. Work with fully multi-tenant systems, message queue services (e.g. RabbitMQ), and distributed systems environments. Collaborate on implementing AI-based features into the platform at scale. 3. Job Requirement Tech we expect: 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 you'll encounter: Java, Spring Boot, Kotlin, GraphQL, Python, FastAPI, jOOQ (backend); Aurora, Postgres, Elastic, S3 (storage); GitLab CI/CD, Kubernetes, AWS, Azure (infrastructure); TypeScript, React/Vue, Apollo, Nx, MobX (frontend); Spark, Redshift, Snowflake (big data). You're outstanding candidate if: You enjoy tackling complex applications and diving into research when intricate algorithms or data structures are needed. You're passionate about building secure cloud applications. You genuinely enjoy learning and sharing knowledge with others. You're comfortable taking end-to-end ownership of software engineering and operations. You'd rather iterate on a solution than spend excessive time perfecting the first version. 4. Work Conditions Location: Hanoi, Vietnam (Hybrid - work from home every Friday) Office address: Le Van Luong, Nhan Chinh, Hanoi Full-time employment. Full compensation during the probation period. 13th-month salary. 15 days of vacation. Premium healthcare. Online company language courses. Company access to Udemy for skills development.