Cloud Engineer(GCP)

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

re-zoo-me is seeking a Cloud Engineer to join our engineering team and help build a hybrid cloud data platform handling petabytes of data in the cloud. You will work with data scientists and ML workloads, designing scalable data ingestion and analysis components.

You will deploy and operate GCP infrastructure, embrace Terraform and container orchestration, and drive CI/CD with a strong emphasis on security and observability within a hybrid cloud environment.

Qualifications

• Experience deploying and managing GCP infrastructure and data services.
• Proficient with Terraform for automating provisioning in GCP.
• Experience with Kubernetes, Docker, and serverless architectures in GCP.

Responsibilities

• Design, implement, and operate scalable distributed data ingestion and analysis systems in the cloud.
• Collaborate with analytics system architects and promote best practices in backend infrastructure and distributed computing.
• Apply Agile practices, CI/CD, and cloud-native patterns with TDD.
• Evaluate new cloud technologies to maximize performance of analytical systems.

Tools

Terraform

Kubernetes

Docker

GKE

Dataproc

BigQuery

Spark

Avro

Parquet

OpenTelemetry

Git

Jira

Confluence

MySQL

PostgreSQL

GCP

Job description

Responsibilities

As a Cloud Engineer, you'll be an Engineering Specialist and help us discover the information hidden in vast amounts of data. You'll be part of the team which builds a hybrid cloud data platform that runs heavy computation jobs in the cloud as well as supports data scientist in their AI/ML modelling journey.

• Design, implement and operate key components for highly scalable, distributed data collect on and analysis system built for handling petabytes of data in the cloud.
• Work with architects of the analytics system and help in adopting best practices in backend infrastructure and distributed computing, that supports Machine Learning and Agentic workloads.
• Implement core practice of Agile, leveraging cloud-native architecture patterns and using Test Driven Development, continuous integration/continuous delivery
• Continuously discover, evaluate and implement new cloud technologies to maximize analytical system performance

Requirements

• Hands-on experience with Google Cloud Platform (GCP), including deploying and managing infrastructure and data services
• Enterprise experience building complex solutions within GCP and experience with architecting GCP production workloads for Business and IT operations, across a hybrid cloud environment.
• Proficiency with infrastructure-as-code tools like Terraform to automate provisioning, configuration management, and orchestration within GCP
• Hands-on experience with containers and containers orchestrators (Kubernetes, Docker), as well as serverless architectures within GCP
• Hands-on experience with GKE, Dataproc, BigQuery
• Experience with Spark and different schema formats (Avro, Parquet)
• Understanding of infrastructure monitoring, log analysis, and automation for incident response within GCP
• Ability to instrument, validate, and automate security controls within GCP
• Demonstrable strong cloud architecture or development experience, specifically Google Cloud Platform (GCP) with associate or specialist level certification.
• Manage and resolve Operational issues as the L2/L3

Nice to have:

• Development experience in Java/Python and pride in producing clean, maintainable code.
• Familiarity with tracing/observability solutions, e.g. Open Telemetry
• Mastery of key development tools such as GIT, and familiarity with collaboration tools such as Jira and Confluence or similar tools.
• Experience with SQL engines (e.g. MySQL, PostgreSQL)
• The ability to work with loosely defined requirements, and exercise your analytical skills to clarify questions, share your approach and build/test elegant solutions in weekly sprint/release cycles.