Cloud Engineer(GCP)

ENCORA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ENCORA TECHNOLOGIES PTE. LTD. is seeking a Cloud Engineer in Singapore to help build a hybrid cloud data platform. You will work on scalable data collection, processing, and AI/ML support in the cloud, collaborating with architects to implement best practices in backend infrastructure.

You will design and operate GCP-based production workloads, leverage IaC tools, containerization, and modern data processing frameworks. A strong focus on security and reliability is essential.

Qualifications

• , must have hands-on GCP experience and capable of architecting production workloads (GCP)
• - proficient with infrastructure-as-code to automate provisioning in GCP
• - experience with containers and orchestration (Kubernetes, Docker) in GCP
• - familiarity with data engineering stacks and batch/stream processing
• - strong security controls in cloud environments and incident handling
• - associate or specialist GCP certification preferred

Responsibilities

• Design, implement and operate scalable data collection and analysis systems in the cloud.
• Work with analytics architects to adopt cloud-native patterns for ML workloads.
• Contribute to CI/CD pipelines and automation for reliability and security.
• Continuously evaluate new cloud technologies to maximize performance.

Skills

GCP expertise

Terraform

Kubernetes

BigQuery

Dataproc

Spark

Avro/Parquet

Cloud security

CI/CD

OpenTelemetry

Tools

GKE

Dataproc

BigQuery

Docker

Jira

Confluence

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.