Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
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 Database as a Services (DBaaS) in IBM Cloud.
The developer will participate in the design of the service, writing tools and automation, building containers, developing automated tests, implementing monitoring and runbooks, and handling complex customer escalations. The developer must have a deep understanding of the HA configurations, and general operations in a production environment. The key requirement is to have a passion for Developing a High quality, Highly Available service.
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We are 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. You will follow runbooks to resolve issues and use your troubleshooting and analytical skills to diagnose or troubleshoot platform or Data Service issues.
Required Technical and Professional Expertise
- Bachelor's in Engineering, Computer Science, or relevant experience
- 4 - 6 years of relevant experience
- Have customer facing skills, with experience in communicating with and mentoring customers through data migration, application architecture, data lifecycle management, and query optimisation challenges
- Strong SQL and backend application skills in one or more of Python and Go. Experience with configuring and optimising drivers for database services.
- Appreciation of cloud architectures and deployment models, especially elastic scaling, data access redundancy techniques, and cross-region failover.
- Experience in Data query optimisation using topN cluster query identification, and EXPLAIN/ANALYZE techniques. Comfortable with investigating and improving data management processes such as periodic-refresh materialized views, vacuuming, analyzing.
Preferred Technical and Professional Expertise
- Advanced Experience with Kubernetes
- Experience in use of SQL Proxies such as ProxySQL or PgBouncer.
- Administrative Experience on PostgreSQL, Kafka, Elastic, MySQL, Redis, or MongoDB
- In depth knowledge of at least one Cloud Provider IaaS ecosystem (VPC, Storage, IAM)