Staff Platform Engineer - Big Data Platform Management

Csit
Singapore
On-site

Who this role is best for

Candidates with experience in Big Data infrastructure and a background in national security or defense with leadership capabilities will find this senior-level role meaningful.

Best fit for

  • Candidates with 8+ years of experience managing Big Data platforms and proven skills in Hadoop, Spark, and Kubernetes.
    — “At least 8 years of experience in managing Big Data Platforms. Proven experience with technologies like Spark, Iceberg, Trino, Elastic Stack, NiFi, Kafka, Airflow.”
  • Individuals who have led engineering teams and worked on AI/ML infrastructure in secure environments.
    — “Experience in leading engineering teams.”
  • Professionals with expertise in data security, including encryption and access control protocols.
    — “Ensure the security and governance of the Big Data Infrastructure platform, including managing access controls, implementing data encryption, and conducting regular security audits.”

Things to consider

  • Only Singapore Citizens are eligible for this role, which is a strict geographic requirement.
    — “As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.”
  • The role involves managing large-scale data environments and requires a high level of technical expertise.
    — “Managing large-scale data processing and analytics environments.”

How to stand out

  • Highlight experience in designing secure, scalable data architectures with technologies like HDFS, S3, and Kafka.
    — “Design, implement and manage the Big Data Infrastructure platform, including Hadoop, Spark, NoSQL databases, and data lakes.”
  • Showcase hands-on experience with Kubernetes and CI/CD integration for Big Data platforms.
    — “Proficient in Kubernetes orchestration, leveraging its ecosystem for automated scaling, self-healing, and seamless CI/CD integration.”
  • Demonstrate skills in optimizing streaming and batch pipelines for AI/ML workloads.
    — “Expertise in Big Data Engineering, especially in building streaming/batch pipelines, architecting data warehouses, and deploying AI/ML infrastructure.”
  • Include specific examples of securing applications with SSL/TLS and OIDC/OAuth2 protocols.
    — “Strong knowledge in securing applications through SSL/TLS encryption, data at rest encryption, and robust authentication/authorization (AuthN/AuthZ) using OIDC/OAuth2.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and implement storage solutions for Big Data workloads
  • Ensure high availability, scalability, and performance of Big Data Infrastructure platform
Typical background
Bachelor’s degree in Computer Science, Engineering, or a related fieldAt least 8 years of experience in managing Big Data Platforms

Skills & requirements

Required

Big Data PlatformsHadoopSparkNosql DatabasesData LakesKubernetesScripting LanguagesAgile MethodologiesVersion Control SystemsSecurity ProtocolsNetworking Principles

Preferred

Hadoop Certified DeveloperSpark Certified DeveloperLlm-based Ai/ml Applications

Stack & domain

HadoopSparkNosql DatabasesData LakesS3HDFSSsl/tls EncryptionData At Rest EncryptionOidc/oauth2Core Networking PrinciplesFirewall ConfigurationDNS ManagementRouting And SubnettingBashPythonScalaJavaKubernetesGitAgentic Ai/ml ApplicationsLeadershipHadoop Certified DeveloperSpark Certified DeveloperNational SecurityCounter-terrorismComputer Network Defence

About the role

Original posting from Csit via Lever

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.

Responsibilities:

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. 

  • 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):

  • Bachelor’s degree 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-haves:

  • 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 

As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.

Source: Csit careers (Lever)

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