Your Role and Responsibilities- Work in an Agile, collaborative environment to build, deploy, configure, and maintain IBM Data and AI data management SaaS products on multiple hyperscalers.
- Use continuous integration tools like Jenkins and Artifactory to build automation pipeline to deploy different service workloads for open data management SaaS environments.
- Collaborate multiple development teams to enable a continuous integration environment that sustains high productivity levels and emphasizes defect prevention techniques.
- Design and implement automation for deployment, monitoring, logging, alerting of large-scale open data management SaaS environments.
Required Technical and Professional Expertise
- Overall 9+ years of IT Industry experience
- At least 3 years of experience with:
- Virtualization, containerization technologies, containers orchestration software and cloud platforms
- Kubernetes clusters administration
- Usage of cloud services (Amazon Web Services, IBM Cloud, Microsoft Azure, Google Cloud Platform)
- Languages: GO, Python, Ruby
- CI/CD Tools: Jenkins, Artifactory
- Development and operation of fully managed SaaS services
- Source Control Tools: Git, GitHub
Preferred Technical and Professional Expertise
- Experience with cloud SaaS security
- Familiarity of RDBMS, data warehouse, data lakes, data lakehouse
- Familiarity with Hive metastore and open data formats (Iceberg, Delta Lake, Hudi)
- Open-source data engines: Presto, Spark
- Data governance management
- Open-source software development