Senior DevOps Engineer

We are seeking a talented and experienced DevOps Engineer to join our dynamic team to work in Singapore. As a DevOps Engineer you will be responsible for designing implementing and maintaining our cloud infrastructure CI/CD pipelines and deployment processes. You will work closely with our customers delivering the products into their cloud environments. The ideal candidate should have a strong background in cloud technologies automation a passion for optimizing and streamlining processes and the ability to communicate complex technical concepts to stakeholders.

Responsibilities:
As a DevOps Engineer you will work closely with Technical teams on the Customer side and Customer Success Enterprise Support and Product Engineering teams on the H2O side. Your primary responsibilities would be to

• Design and develop deployment automation management and maintenance of AWS GCP and Azure cloudbased production systems
• Ensure availability performance security and scalability of various cloud production systems
• Management of creation release and configuration of production systems.
• Evaluate new technology alternatives and vendor products
• System troubleshooting and problem resolution across various application domains and platforms
• Provision of critical system security by leveraging best practices and prolific cloud security solutions
• Provide recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics logging and monitoring on cloud platforms
• Design maintain and manage tools for automation of different operational processes.
  
  

Your additional responsibilities include:

• Be the trusted solutions advisor for our customers and partners.
• Communicate effectively with a diverse audience of internal and external stakeholders consisting of: Engineers business people partners executives.

What We Are Looking For

• Degree in computer science or information technology
• 5 years experience with cloud computing technologies
• 2 years experience with Kubernetes for container orchestration and management
• 2 years experience with support procedures and methodologies for production computing environments
• Strong understanding of cloud computing technologies with a focus on AWS GCP or Azure
• Experience in designing deploying and managing productiongrade cloudbased systems
• Experience automating routine tasks including CI/CD pipelines and infrastructure provisioning
• Experience with automation tools like Terraform and Ansible for infrastructure provisioning and configuration management
• Experience of debugging/troubleshooting containerized workloads and familiarity with tools such as kubectl helm etc.
• Experience of working in a customerfacing environment providing technical services
• Excellent interpersonal skills and written/verbal communication skills
• Native born Singaporean
  
  

Nice to Have (not mandatory):

• Certifications in AI machine learning or cloud architecture
• Big Data / ELT experience is a good to have
• Knowledge of data privacy and security principles.
• Experience with natural language processing or computer vision tasks.
• Experience with Generative AI and relevant Generative AI frameworks (langchain autogen etc)

Remote Work :

No