Platform Engineer - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Roles & Responsibilities

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

We’re looking for a Platform Engineer with a strong foundation in data architecture, distributed systems, and modern cloud-native platforms to architect, build, and maintain intelligent infrastructure and systems that power our AI, GenAI and data-intensive workloads.

You’ll work closely with cross-functional teams, including data scientists, ML & software engineers, and product managers & play a key role in designing a highly scalable platform to manage the lifecycle of data pipelines, APIs, real-time streaming, and agentic GenAI workflows, while enabling federated data architectures. The ideal candidate will have a strong background in building and maintaining scalable AI & Data Platform, optimizing workflows, and ensuring the reliability and performance of Data Platform systems.

Responsibilities

Platform & Cloud Engineering

• Develop and maintain real-time and batch data pipelines using tools like Airflow, dbt, Dataform, and Dataflow / Spark
• Design and develop event-driven architectures using Apache Kafka, Google Pub / Sub, or equivalent messaging systems
• Build and expose high-performance data APIs and microservices to support downstream applications, ML workflows, and GenAI agents
• Architect and manage multi-cloud and hybrid cloud platforms (e.g., GCP, AWS, Azure) optimized for AI, ML, and real-time data processing workloads
• Build reusable frameworks and infrastructure-as-code (IaC) using Terraform, Kubernetes, and CI / CD to drive self-service and automation
• Ensure platform scalability, resilience, and cost efficiency through modern practices like GitOps, observability, and chaos engineering

Data Architecture & Governance

AI & GenAI Platform Integration

Engineering Enablement

Qualifications

Why You’ll Love This Role

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Tell employers what skills you have

Airflow

Scalability

Kubernetes

Azure

Pipelines

Software

Reliability

Data Engineering

SQL

Distributed Systems

Python

GCP

Java

Cataloging

Orchestration

API

Databases