Senior DevOps Engineer - Global Data & AI Infra

United States Digital Space LLC

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

the company in Singapore seeks a DevOps engineer to lead our DevOps strategy and optimize cloud infrastructure for performance, scalability, and security across global operations. Based in Singapore, you will partner with cross-functional teams to support rapid growth and reliable data and AI platforms.

You will drive observability, standards, and tooling, collaborate across geographies, and mentor engineers while advancing security and efficiency in a fast-paced, globally distributed

Qualifications

5+ years of DevOps engineering experience.
Demonstrated expertise in Kubernetes, Terraform, and GitOps.
Data streaming engineering experience with Kafka, Flink, Spark, or Databricks.
Hands-on experience with at least one programming language.
Bachelor degree or above in computer science or engineering related majors.

Responsibilities

Lead the design of our DevOps strategy and collaborate with cross-functional teams to evolve cloud infrastructure for performance, scalability and security to support rapid growth.
Own and govern Data and AI infrastructure across the world across multiple countries.
Develop observability and detection capabilities to improve stability while maintaining agility and security.
Build consensus among DevOps engineers across geographies to establish and adopt standard tools and practices.

Skills

Kubernetes

Terraform

GitOps

Data streaming

Programming

Education

Bachelor's degree in computer science or engineering

Tools

Kafka

Flink

Spark

Databricks

Job description

You will drive observability, standards, and tooling, collaborate across geographies, and mentor engineers while advancing security and efficiency in a fast-paced, globally distributed

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