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Open nowPosted 15 days ago

Cloud DevOps Engineer, Banking (1-year renewable contract)

MyCareersFuture94,028 open roles

Pay
SGD 10,000 – SGD 12,000 a Monthly
Where
Singapore
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Your applicationOpen nowCloud DevOps Engineer, Banking (1-year renewable contract)MyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 15 days ago

The posting

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to [email protected]

(preferred, as I may overlooksome CVs due to the high volume).

Please note that visasponsorship is not available at this timtime.

Job Responsibilities

We're looking for a hands-on, forward-thinking Cloud DevOps Engineer to help us build and scale our cloud infrastructure from the ground up.

In our fast-paced entrepreneurship like environment, you'll play a key role in shaping how we architect, automate, and secure our cloud systems—primarily on Google Cloud Platform (GCP).

If you're passionate about solving complex problems, love working across teams, and thrive in environments where your ideas can make a real impact, we’d love to meet you.

• Design and Implement Cloud Solutions Architect and deploy scalable, secure, and cost-effective cloud infrastructure tailored to business and technical requirements.

• Infrastructure as Code (IaC) Develop, maintain, and troubleshoot IaC scripts using tools like Opentofu, Terraform, AWS CloudFormation, or Google Cloud Deployment Manager.

• Cloud Platform Management Manage and optimize cloud environments (AWS, Azure, GCP), ensuring high availability, performance, and compliance with security standards.

• Automation and Orchestration Automate cloud operations and workflows using scripting languages (e.g., Python, Bash) and orchestration tools (e.g., Ansible, Chef, Puppet).

• Monitoring and Incident Response Implement monitoring solutions and respond to incidents, ensuring system reliability and quick recovery from failures.

Security and Compliance Enforce cloud security best practices, including IAM policies, encryption, and vulnerability management, aligned with regulatory requirements.

• Cost Optimization Analyze cloud usage and implement strategies to optimize resource allocation and reduce operational costs.

• Cross-Team Collaboration Work closely with development, DevOps, and security teams to support application deployment and troubleshoot cloud-related issues.

• Documentation and Knowledge Sharing Maintain clear documentation of cloud architecture, configurations, and procedures. Educate teams on cloud technologies and best practices.

• Continuous Improvement Stay updated with emerging cloud technologies and recommend improvements to enhance infrastructure efficiency and agility.

Job Requirements

• Education: Bachelor’s degree in Computer Science, IT, or a related field. Master’s degree is a bonus but not required.

• Experience: 3–5 years of hands-on cloud engineering experience, with strong expertise in GCP.

• GCP Mastery: Deep knowledge of GCP services like Compute Engine, Cloud Storage, VPC, Cloud Functions, Cloud Run, and BigQuery.

• IaC Skills: Proficient in Terraform. Experience with GCP Deployment Manager is a plus.

• Scripting & Automation: Strong scripting skills in Python, Bash, or Go for automation and cloud operations • CI/CD & DevOps: Experience with GCP-native tools like Cloud Build and Artifact Registry, and Git-based workflows.

• Security & IAM: Solid understanding of IAM, service accounts, and cloud security principles.

• Monitoring & Logging: Familiarity with GCP’s operations suite (formerly Stackdriver) for observability.

• Networking Fundamentals: Understanding of VPCs, subnets, firewalls, load balancers, and hybrid connectivity.

• AI Adoption: Good Understanding on Building AI Agents and integrating them with workflows wherever applicable, MCP and A2A communication. Preferable to have understanding on Vertex AI, GCP Agent space and Gemini.

• API Integration: Experience working with GCP APIs and integrating with external systems.

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    The review screen in CV Rocket: how each CV was read, round by round.

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3×

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