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DevOps Architect

3 weeks ago

Singapore beBeeCloud Full time $100,000 - $150,000
Job Summary

This position offers a unique opportunity to play a key role in our organization's success by applying DevOps principles and solutions. As a Senior DevOps Engineer, you will design, build, and maintain scalable and reliable cloud infrastructure using AWS/Azure/Openstack/Kubernetes.

The successful candidate will be responsible for conducting client workshops to identify challenges, developing transformation roadmaps, and delivering technical solutions. Additionally, they will coach delivery teams on DevOps best practices and approach projects with an engineering consultant mindset.

Key Responsibilities
  • Provide customers with reliable and scalable cloud solutions using AWS, Azure, and Kubernetes.
  • Design, build, configure, maintain, and support cloud infrastructure.
  • Implement and support various CI/CD, security, and testing tools.
  • Develop multi-stage CI/CD pipelines to enable faster and frequent releases to production; assist delivery teams in automating their build and deployment processes.
  • Document and share knowledge on developed DevSecOps solutions.
  • Conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions.
  • Collaborate with clients and other teams to understand client requirements, design comprehensive end-to-end approaches, and implement DevOps solutions that meet client needs.
  • Approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.
Required Skills and Qualifications

Proficiency in working with AI coding assistants (e.g., GitHub Copilot, Cursor) for code generation and problem-solving is essential. You should also have understanding of prompt engineering principles for optimal AI tool interaction.

A strong background in cloud computing technologies, deployment, costing, HA/DR, etc., as well as experience with automation and infrastructure-as-code using tools like Terraform, AWS CloudFormation, SAM, ARM, and Bicep, is required.

You should be able 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, as well as container technologies (e.g., Docker, Kubernetes, AWS EKS, AKS), is necessary.

Hands-on experience in designing, developing, and migrating CI/CD pipelines (e.g., GitHub Actions, Azure DevOps Pipelines), setting up and configuring monitoring tools (e.g., ELK, Prometheus, Grafana, Splunk) and security tools (SAST, DAST, etc.), is desirable.

A deep understanding of microservice and event-driven architectures and DevSecOps practices for complex distributed systems is required. Strong RDBMS and NoSQL skills in deploying and fine-tuning databases such as MySQL, Oracle, and Elasticsearch are also necessary.