You will design, build, and maintain scalable data pipelines to support accounting and tax systems using SQL, Python, and Spark. Additionally, you will lead the migration to Databricks and develop Python-based backend services for data exposure.
The SAP Consultant will support the implementation, development, and long-term maintenance of SAP as the company's general ledger system. They will translate business requirements into system processes and collaborate with internal teams and external vendors to ensure high-quality, scalable solutions.
You will be responsible for building and maintaining scalable data integration mechanisms and processing pipelines using SQL, Python, and Apache Spark. Additionally, you will contribute to architectural decisions, develop CI/CD pipelines, and ensure high data quality and reliability across the centralized platform.
You will drive end-to-end projects across IT and non-IT departments while managing stakeholders and project roadmaps. Additionally, you will proactively identify risks, remove delivery obstacles, and implement processes based on data to support the PMO.
You will design and develop new functionalities for a trading platform using Angular and TypeScript while collaborating with backend teams on API integrations. Additionally, you will maintain high code quality through best practices, code reviews, and the implementation of unit and integration tests.
You will define the product vision, set KPIs, and translate business requirements into actionable tasks for the development team. You will also coordinate cross-functional collaboration with legal, risk, marketing, and technical departments to ensure successful product launches.
You will be responsible for designing, building, and maintaining scalable data processing pipelines and integration mechanisms. Additionally, you will contribute to architectural decisions, define engineering standards, and ensure high data quality and reliability across the platform.
Develop and expand XTB Thailand’s network of partners across financial, trading, and educational sectors to drive user acquisition. Collaborate with marketing and sales teams to execute joint campaigns and monitor partner performance against KPIs.
Implement and maintain end-to-end AI solutions, focusing on the scalability of LLM pipelines and agentic workflows. Collaborate with product and data teams to integrate production-grade APIs and optimize system performance using evaluation-driven development.
You will develop a standardized observability ecosystem and act as a strategic partner to product engineering teams to ensure system reliability. Additionally, you will participate in on-call rotations and build internal automation to streamline operational workflows.
The Engineering Team Leader will drive the growth and technical direction of the Site Reliability Engineering team while overseeing organization-wide incident management and reliability strategies. They will also lead the design and evolution of the company's observability ecosystem to ensure system scalability and performance.
The Product Manager is responsible for defining the product vision, setting KPIs, and translating these goals into actionable tasks for the development team. They coordinate cross-functional collaboration with departments such as legal, risk, marketing, and engineering to ensure successful product launches.
You will lead a team of over 20 professionals to develop and execute strategies for virality, customer engagement, and growth. This involves overseeing product roadmaps, leveraging AI for rapid experimentation, and ensuring data-driven delivery across international markets.
Develop high-performance, scalable microservices for an innovative investment platform within a Scrum environment. Focus on processing massive data volumes with minimal latency and ensuring high availability for global users.
Design and maintain an enterprise AI platform focusing on LLM routing, agentic workflows, and RAG components. Build scalable deployment pipelines using Kubernetes and ArgoCD to empower developers to deploy AI-driven solutions.
Lead the Platform Engineering team to create tools and services that enable product teams to deliver value faster and more efficiently. Manage technical standards, coordinate solution architectures, and support team growth through mentoring and 1:1 meetings.
