Staff Platform Engineer - Big Data Platform Management
On-site Singapore, Singapore Full-time Senior Platform & Infrastructure
At a glance
Senior Platform & Infrastructure role at Centre for Strategic Infocomm Technologies. Singapore, Singapore · full-time.
Pay not stated Platform Engineer salary
RolePlatform & Infrastructure
SenioritySenior
LocationSingapore, Singapore
WorkplaceOn-site
EmploymentFull-time
PostedSep 24, 2026 · 4w ago
Role brief
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run the Big Data platform, covering Hadoop, Spark, NoSQL databases and data lakes
- Keep clusters healthy by monitoring issues, tuning performance, and allocating resources to scheduled jobs
- Create storage for Big Data workloads using HDFS, S3 and other object storage systems
- Protect the platform with access controls, encryption and recurring security reviews
- Work with data engineers and scientists to improve application performance and plan capacity, hardware and software rollouts
What you bring
- A degree or professional credential in computer science, engineering or a related discipline
- At least eight years managing Big Data platforms
- Hands-on knowledge of Spark, Iceberg, Trino or another listed platform technology
- Experience building streaming or batch pipelines, data warehouses, and infrastructure for AI/ML
- Strong skills in Kubernetes, storage protocols, encryption and access controls, plus core networking
Who this fits
This senior role suits an experienced platform engineer who can lead engineering teams and support large search workloads. It is based onsite in Singapore, and only Singapore citizens are eligible.
From the employer
CSIT develops products to advance the national security interests of Singapore. We use our products in a wide range of operations, including but not limited to Counter-terrorism and Computer Network Defence. We are looking for talented Senior Big Data Platform Staff Engineer. Join the awesome CSIT family and use cutting-edge technologies to protect the nation.
We are seeking an experience Big Data Platform Staff Engineer to join our team, responsible for managing and optimizing our Big Data Infrastructure platform. The successful candidate will have a deep understanding of Big Data technologies, architectures, and systems, as well as experience with managing large-scale data processing and analytics environments. The role will involve designing, implementing, and maintaining the Big Data Infrastructure platform, ensuring high availability, scalability, and performance.
Responsibilities
- Design, implement and manage the Big Data Infrastructure platform, including Hadoop, Spark, NoSQL databases, and data lakes.
- Manage Big Data clusters, including monitoring, troubleshooting, and optimizing cluster performance, as well as managing job scheduling and resource allocation.
- Design and implement storage solutions for Big Data workloads, including HDFS, S3, and other object storage systems.
- Ensure the security and governance of the Big Data Infrastructure platform, including managing access controls, implementing data encryption, and conducting regular security audits.
- Collaborate with data engineers and data scientists to optimize Big Data application performance and provide technical support and guidance on using the Big Data Infrastructure platform.
- Plan and manage Big Data resource capacity, including forecasting, procurement, and deployment of new hardware and software.
Requirements (Minimum Qualifications)
- A degree or professional qualification in Computer Science, Engineering, or a related field
- At least 8 years of experience in managing Big Data Platforms. Proven experience with technologies like Spark, Iceberg, Trino, Elastic Stack, NiFi, Kafka, Airflow.
- Expertise in Big Data Engineering, especially in building streaming/batch pipelines, architecting data warehouses, and deploying AI/ML infrastructure.
- Capable of managing and utilizing diverse storage protocols, including S3, NFS, SMB, and HDFS.
- Strong knowledge in securing applications through SSL/TLS encryption, data at rest encryption, and robust authentication/authorization (AuthN/AuthZ) using OIDC/OAuth2.
- Comprehensive understanding of core networking principles, including firewall configuration, DNS management, routing and subnetting.
- Experience with scripting languages, such as Bash, Python, Scala and Java.
- Proficient in Kubernetes orchestration, leveraging its ecosystem for automated scaling, self-healing, and seamless CI/CD integration.
- Experience in supporting search workloads in multi-terabytes and billions of records
- Experience with agile development methodologies and version control systems, such as Git.
- Experience in leading engineering teams.
Nice to Have
- Certifications in Big Data, such as Hadoop Certified Developer or Spark Certified Developer.
- Experience in managing physical and virtual infrastructures.
- knowledgeable in deploying and scaling LLM-based and agentic AI/ML applications.
Why join us?
- The work is purposeful and meaningful
- You will work with the best engineers
- We work with modern technologies and tech stacks
- We have excellent engineering culture and work-life balance
- We aspire to engineering and operational excellence
- We empower to innovate
- We grow together as a family