About the Role
As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining scalable and reliable cloud infrastructure using AWS/Azure/Openstack/Kubernetes. You will apply DevOps practices and solutions, conduct client workshops to identify challenges, develop transformation roadmaps, and deliver technical solutions. Additionally, you will coach delivery teams on DevOps best practices and approach projects with an engineering consultant mindset, providing expert guidance and strategic consulting to clients.
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 PALO IT 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.
- Utilize AI development tools such as GitHub Copilot and Cursor to enhance development processes and improve efficiency.
Qualifications:
- 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.
We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.
