Our client is a leading financial services and insurance group headquartered in Singapore with a strong regional presence across Asia.
We are looking for a skilled
DevOps Engineer
to support a financial services project. The engineer will be responsible for managing and automating deployments, troubleshooting issues across big data and CI/CD environments, and ensuring smooth operations of large-scale systems.
Key Responsibilities:
Design, implement, and maintain CI/CD pipelines for software build, test, and deployment.
Troubleshoot and resolve complex deployment issues, performance bottlenecks, and system failures.
Develop and maintain automation scripts in
Bash
and
Python
to streamline system administration tasks.
Collaborate with data engineers, scientists, and development teams to optimize workflows.
Manage and administer
Linux environments (RHEL, Ubuntu)
in both on-premise and data center setups.
Handle database administration for
Hadoop (CDP), MySQL, SQL
.
Support security configurations including
Kerberos, LDAP, TLS, Ranger, SSSD
.
Deploy and administer
Dataiku DSS and Project Deployer
.
Document processes, configurations, and troubleshooting steps.
Provide technical guidance and production support.
Requirements
Bachelor's degree in Computer Science, IT, or equivalent experience.
4-7 years of DevOps / system engineering experience.
Strong hands-on experience with
Linux administration (RHEL preferred)
.
Proficiency in
shell scripting (Bash)
and
Python
.
Experience with
CI/CD tools (Jenkins, GitLab CI/CD)
.
Knowledge of
big data technologies (Hadoop, Cloudera CDP)
.
Familiarity with
Dataiku deployment & administration
is highly desirable.
Strong troubleshooting and problem-solving skills.
Good communication and stakeholder collaboration skills.
Exposure to
cloud platforms (AWS)
is a plus.
Interested candidates are kindly requested to
email their CV
with their experience to
sandeep.sringeripai@global.nt
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