Senior Software Architect - Data Streaming (Remote)

IBM

Boston (MA)

On-site

USD 99,000 - 135,000

Full time

4 days ago
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Job summary

IBM is seeking a Senior Software Developer/Architect to contribute to the Connect Platform Team at Confluent. The role focuses on designing, building, and operating connectors that bridge Apache Kafka with external systems, for both on-prem and cloud deployments.

You will lead and mentor engineers, shape the roadmap for a Data Streaming Platform, and leverage Java, Kubernetes, and cloud services to deliver low-latency, highly available data pipelines across diverse environments.

Qualifications

  • 7+ years of relevant software development experience.
  • Leading delivery of large-scale, secure, highly available, low latency systems.
  • Leading and mentoring technical teams.
  • Deep hands-on expertise in hyper-scale distributed systems engineering.

Responsibilities

  • Work with distributed systems, cloud-native development, and secure, scalable data integration.
  • Architect a complex engineering system from end to end.
  • Partner across engineering to create and execute the roadmap for a Data Streaming Platform.
  • Evaluate and enhance the platform's technology stack with industry-leading solutions.
  • Provide technical guidance to the team in specialized areas.
  • Improve stability, performance, and scalability across critical systems.
  • Lead and mentor a team of developers.

Skills

Distributed systems
Cloud platforms
Java
Kubernetes
AWS/GCP/Azure
Leadership
Mentoring
On-call rotation
Security
Communication

Education

Bachelor's Degree
Master's Degree

Job description

IBM is seeking a Senior Software Developer/Architect to contribute to the Connect Platform Team at Confluent. The role focuses on designing, building, and operating connectors that bridge Apache Kafka with external systems, for both on-prem and cloud deployments.

You will lead and mentor engineers, shape the roadmap for a Data Streaming Platform, and leverage Java, Kubernetes, and cloud services to deliver low-latency, highly available data pipelines across diverse environments.

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