DevOps Engineer - Cloud AWS

Backend Engineer (Python/Kotlin)

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Python
• Kotlin

Design and develop financial products built on top of our core banking platform - Thought Machine Vault Design and develop event driven micro services for enhancing the functionality of our core banking platform Maintain and improve the reliability of our services using effective simulation, e2e and performance tests Improve SRE processes and provide production support for our services Write high quality, maintainable code using TDD Use Kubernetes and Docker to schedule and run microservices Our technology stack is predominantly Python and Kotlin / Java, but our architecture allows for using the most appropriate language to solve a given problem. - PostgreSQL, Aurora and S3 for persistence Leverage our elastic AWS infrastructure Practice continuous integration and delivery You build it, you run it.

Negotiation

Senior Full-stack Java Software Engineer

Ho Chi Minh - Viet Nam

Outsource

• Java
• Angular
• Cloud

Develop and maintain full-stack web applications using Java (main core), Spring Boot on the backend and Angular (TypeScript) on the frontend. Design and implement $1ESTful APIs, ensuring scalability, security, and performance. Participate in system design, code review, and technical discussions. Work with AWS cloud services to deploy and operate applications in production. Write unit tests and integration tests to ensure high code quality. Collaborate in Agile/Scrum teams with Product Owner, QA, and DevOps. Support and mentor junior developers.

Negotiation

Senior Data Engineer

Ho Chi Minh - Viet Nam

Product

We're seeking a Staff Data Engineer to own and evolve our data infrastructure as we scale globally. You'll design and build the data systems that power our platform - from real-time pipelines and analytics infrastructure to the AI/ML foundations enabling intelligent insurance products.#Data Architecture & Engineering Design and implement scalable, future-proof data architectures aligned with business objectives across multiple regions and regulatory environments Build and maintain data pipelines for ingestion, transformation, and delivery using modern orchestration tools (Airflow, Spark, Kafka) Architect data solutions spanning data warehousing, data lakes, and real-time analytics Create and maintain data models (conceptual, logical, physical) using recognized modeling approaches Develop and document the enterprise data landscape, mapping data stores and flows across our microservices architecture#AI/ML Infrastructure Build and maintain data infrastructure supporting ML model training, deployment, and monitoring (MLOps) Design and implement vector database solutions for AI-powered features (e.g., MongoDB Atlas Vector Search, Pinecone, Weaviate) Develop data pipelines feeding recommendation engines, claims processing automation, fraud detection, and other AI-driven capabilities Ensure AI infrastructure scales globally while meeting data residency and compliance requirements#Data Operations & Quality Implement DataOps practices ensuring data quality, lineage, and governance across the platform Define and enforce data strategy and architectural principles across engineering teams Build monitoring and alerting for pipeline health, data quality, and SLA compliance Optimize query performance and cost efficiency across data systems#Technical Leadership Collaborate with product and engineering teams to translate business requirements into data solutions Act as a change agent, driving adoption of modern data practices across the organization Contribute to architectural reviews and technical decision-making Own data problems through to resolution

Negotiation