We are seeking a highly skilled and motivated Software Engineer to join our team in Australia. The successful candidate will have a strong background in Software Engineering, to be part of our team.
What You Will Do
- Designing, architecting and development of H2OAI Hybrid Cloud Installer.
- Planning and implementing release cycles and cadences for streamlined release process.
- Leading Hybrid Cloud team in Sri Lanka and engaging with members dispersed globally.
- Maintaining and Managing H2OAI Cloud.
- Customer support and customer engagements for H2O cloud deployments.
- Working with s
- Working with solutions architecture teams to deliver recommendations for customers.
- Engagement across multiple technologies such as Terraform, Cloud formation, AWS, GCP
- Azure, Python, Helm and H2OAI product stack.
- Carrying out DevOps Engineering interviews on candidates for open vacancies.
- Bachelor’s or a higher education degree in Computer Science/Engineering, or related field.
- Proven experience with 8+ years of hands-on experience in a similar role.
- Experience across technologies such as Terraform, Cloud formation, AWS, GCP.
- Certifications in Microsoft, Linux, or Cisco is advantageous.
- Proficiency Linux/Mac OS.
- Attention to detail and good problem-solving skills.
- Excellent interpersonal skills.
- Good written and verbal communication.
- Market Leader in Total Rewards
- Remote-Friendly Culture
- Flexible working environment
- Be part of a world-class team
- Career Growth
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
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