Introduction
IBM's Cloud Database Services has an exciting opportunity for a Cloud Database Developer in our IBM Cloud Database engineering team.
Your Role and Responsibilities
The IBM Cloud Data Services teams are responsible for developing and operating the Software as a
Service (SaaS) offerings that provide Databases as a Service (DBaaS) in IBM Cloud.
Our team is developing and operating the Software as aService (SaaS) offerings that provide Database as a Services (DBaaS) in IBM Cloud.
You will participate in the design of the service, implementing tools and automation, building containers, developing automated tests,
implementing monitoring and runbooks, and handling complex customer escalations.
You will build a deep understanding of the HA configurations, and general cloud operations in a production environment.
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You should have a passion for Developing a high quality and highly available cloud service.
We live a "You build it, You run it" culture. As a developer, you will join our follow-the-sun rotation where you will be the primary responder for automated system alerts.
In this devops culture you will design and implement new capabilities for our database services and also improve operational aspects continuously.
Required Technical and Professional Expertise
Skills:
- Software development architecture & design
- GoLang and/or Python Development skill
- CI/CD Automation tooling, such as Jenkins or Terraform.
- Agile development methods
- Unit and Integration Testing: Expertise in writing and executing unit, integration, and end-to-end tests for Go and Python applications.
- Microservices architecture and cloud technology in general, specifically Kubernetes
- Agile development including test driven development and pair programming
Preferred Technical and Professional Expertise
- Experience with the installation, administration and operation of a mainstream database technology such as PostgreSQL, Elastic, MySQL, Redis, or MongoDB.
- Kubernetes Proficiency: In-depth understanding of Kubernetes architecture, components, and operations, including pod management, service discovery, and custom resource definitions (CRDs).
- Golang: Proficiency in Go, particularly for writing microservices, custom controllers/operators, and Kubernetes-related tooling.
- Python: Strong Python skills for scripting, automation tasks, and integration with Kubernetes APIs.
- API Development: Experience in developing and consuming RESTful APIs and understanding of gRPC
- Ability to implement or modify existing automations in Python, or bash shell.