Data Streaming Solutions Engineer & POC Lead

International Business Machines Corporation

San Jose (CA)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

International Business Machines Corporation (IBM) is seeking a Solutions Engineer to drive technical evaluation and value realization with customers, partnering with Account Executives on deployments and adoption.

You will surface business needs and craft technical designs, assist in go-live of data streaming use-cases, and help customers mature their Confluent deployments while collaborating with product and engineering teams.

Qualifications

  • 1+ years of Solutions Engineering or similar work experience.
  • Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies.
  • First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development.
  • Experience with Automation, GitOps and Kubernetes.
  • Proficiency in Java, Python or SQL.
  • Technical certifications - Cloud Developer/Architect, Data Engineering & Integration.
  • Clear, confident communication and ability to present to technical and executive audiences.

Responsibilities

  • Help advance new & innovative Data Streaming use-cases from conception to Go-Live.
  • Lead Technical Proofs of Concept.
  • Conduct Discovery & Whiteboard Sessions to develop new use-cases.
  • Provide Thought Leadership by delivering Technical Talks and Workshops.
  • Guide customers with hands-on help and best practices for Confluent Deployment maturity.

Skills

Solutions engineering experience
Event-driven architecture
Cloud architecture
Automation & Kubernetes
Java, Python or SQL

Tools

Kafka
Apache Flink
Kubernetes
GitOps

Job description

International Business Machines Corporation (IBM) is seeking a Solutions Engineer to drive technical evaluation and value realization with customers, partnering with Account Executives on deployments and adoption.

You will surface business needs and craft technical designs, assist in go-live of data streaming use-cases, and help customers mature their Confluent deployments while collaborating with product and engineering teams.

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