Career
Senior Platform Engineer
Technology
|
Permanent
Technology
Permanent
About Us
Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.
SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN.
As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provides AI and data science services and products to the group.
With a leading-edge cloud native data & AI platform, our vision is to support the group to provide everyone in our region with the opportunity to prosper.
We work on forward-thinking challenges of centralizing, analyzing, and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work. About Team & Role The Sr. DevOps engineer will be a part of a cross-functional team responsible for designing, implementing, and maintaining reliable, scalable, and secure data platform and machine learning infrastructure in an enterprise environment. The Sr. DevOps engineers will play a pivotal role in driving the adoption of DevOps best practices, implementing, and supporting DevOps tools. They will be responsible for improving the efficiency, reliability, and security of the systems while fostering a culture of collaboration and continuous improvement.
Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.
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Benefits
Other
Preferred Qualifications
Exposure to modern data stack tools (Delta Lake, Airflow, dbt).
Experience with cost and performance optimization across large Azure environments.
Experience implementing multi-tenant data platforms with isolation and RBAC.
Familiarity with FinOps and governance policy enforcement.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5+ years of experience in platform or data infrastructure engineering roles.
Proven experience building or operating OSS-based data platforms (Spark, Trino, Jupyter) on Kubernetes.
Hands-on experience with Azure cloud services (AKS, Blob Storage, Key Vault, AAD, Managed Identity, Azure Monitor).
Strong understanding of Apache Spark internals and performance optimization.
Familiarity with Databricks (including Unity Catalog, clusters, jobs, and governance best practices).
Practical experience in observability and telemetry stacks (Grafana, OpenTelemetry, Loki, or Prometheus).
Sound knowledge of CI/CD, Infrastructure as Code (e.g. Terraform, Helm, GitHub Actions).
In-depth understanding of security frameworks, data governance, and compliance for enterprise environments.
Excellent problem-solving, automation, and debugging skills with a strong DevOps mindset.
Responsibilities
Design, build, and operate a Kubernetes-native data platform running OSS components (e.g. Apache Spark, Trino, JupyterHub).
Implement data governance and security controls (access policies, encryption, audit, RBAC) seamlessly into the platform.
Optimize Apache Spark performance at scale (tuning, caching, shuffle optimization, cluster sizing).
Integrate monitoring and observability through Grafana, Prometheus, and OpenTelemetry to ensure system health and reliability.
Collaborate with data engineering and infrastructure teams to enable seamless integration and CI/CD automation for data workloads.
Support adoption and interoperability with Databricks, including workspace governance, job orchestration, and Unity Catalog integration.
Continuously improve platform reliability, cost efficiency, and developer experience.
Participate in architecture design reviews, incident response, and capacity planning.
About Team & Role
We are building an open, cloud-native data platform that leverages best-in-class open-source technologies to serve enterprise-grade analytics, governance, and observability. As a Senior Platform Engineer, you will architect, deploy, and optimize our OSS-based data platform with a strong focus on scalability, performance, and security on Azure.
You will work with distributed systems such as Apache Spark on Kubernetes, Trino, and Jupyter Notebooks, while embedding enterprise-level security, governance, and observability into the platform’s core.