Senior Engineer x2 at HAUS CONSULTING PTE LTD
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

29 Nov, 25

Salary

8500.0

Posted On

29 Aug, 25

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Code, Infrastructure, Operations, Adherence, Elasticsearch, Code Generation, Critical Thinking, Oracle, Aws, Automation, Azure, Mysql, Distributed Systems, Test Automation

Industry

Information Technology/IT

Description

JOB SUMMARY:

We are seeking a self-driven and technically skilled Senior DevOps with experience in IT, specializing in Cloud Infrastructure, DevOps practices, SRE, and Build/Release Management. The ideal candidate will have strong hands-on expertise in cloud platforms (AWS, Azure), container orchestration (Kubernetes, EKS), CI/CD pipelines, infrastructure as code, and a proven ability to manage secure, scalable, and high-performing environments.

Key Responsibilities:

  • Architect and maintain robust CI/CD pipelines for application delivery using Jenkins, GitLab CI/CD, and Harness.
  • Automate infrastructure provisioning and configuration using Terraform, Ansible, and CloudFormation.
  • Manage containerized deployments using Docker, Kubernetes, and Amazon EKS.
  • Provision and monitor cloud environments on AWS and Azure.
  • Integrate DevSecOps tools into pipelines for vulnerability scanning, code quality checks, and policy enforcement.
  • Monitor application and infrastructure performance using CloudWatch, Grafana, Kibana, Nagios, and Splunk.
  • Collaborate with development and operations teams for smooth delivery across multiple environments (Dev, UAT, Pre-Prod, Prod).
  • Manage source control and branching strategies using Git, Bitbucket, and GitLab.
  • Support high-availability, 24/7 production systems with strong incident response and troubleshooting skills.
  • Document procedures, create knowledge base articles, and contribute to ongoing process improvements.

REQUIREMENTS:

  • Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor) for code generation and problem-solving.
  • Understanding of prompt engineering principles for optimal AI tool interaction.
  • Ability to effectively collaborate with AI tools while maintaining code quality and adherence to best practices.
  • Critical thinking to validate and verify AI-generated code and solutions.
  • Adaptability and willingness to continuously learn and stay updated with the rapidly evolving AI landscape.
  • Deep understanding of cloud computing technologies, deployment, costing, HA/DR, etc.
  • Ability to coach delivery teams on DevOps principles (e.g., CI/CD, test automation, release automation) and engineering practices (e.g., TDD, BDD).
  • Proficiency with public cloud platforms such as AWS and Azure. Strong exposure to container technologies (e.g., Docker, Kubernetes, AWS EKS, AKS).
  • Hands-on experience with automation and infrastructure-as-code using tools like Terraform, AWS CloudFormation, SAM, ARM, and Bicep.
  • Experience in developing and implementing processes for handling releases from development to operations, including rollback solutions.
  • Hands-on experience in designing, developing, and migrating CI/CD pipelines (e.g., GitHub Actions, Azure DevOps Pipelines).
  • Good understanding of microservice and event-driven architectures and DevSecOps practices for complex distributed systems.
  • Proficiency in setting up and configuring monitoring tools (e.g., ELK, Prometheus, Grafana, Splunk) and security tools (SAST, DAST, etc.).
  • Strong RDBMS and NoSQL skills in deploying and fine-tuning databases such as MySQL, Oracle, and Elasticsearch.
  • 6-10 years of experience in platform automation, applying various DevOps principles.

How To Apply:

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Responsibilities
  • Architect and maintain robust CI/CD pipelines for application delivery using Jenkins, GitLab CI/CD, and Harness.
  • Automate infrastructure provisioning and configuration using Terraform, Ansible, and CloudFormation.
  • Manage containerized deployments using Docker, Kubernetes, and Amazon EKS.
  • Provision and monitor cloud environments on AWS and Azure.
  • Integrate DevSecOps tools into pipelines for vulnerability scanning, code quality checks, and policy enforcement.
  • Monitor application and infrastructure performance using CloudWatch, Grafana, Kibana, Nagios, and Splunk.
  • Collaborate with development and operations teams for smooth delivery across multiple environments (Dev, UAT, Pre-Prod, Prod).
  • Manage source control and branching strategies using Git, Bitbucket, and GitLab.
  • Support high-availability, 24/7 production systems with strong incident response and troubleshooting skills.
  • Document procedures, create knowledge base articles, and contribute to ongoing process improvements
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