Senior Real-Time Stream Processing Engineer (Cloud)

IBM; Boston (MA); On-site; USD 76,000 - 112,000; Full time

Job summary

IBM is seeking a Senior Software Developer - Stream Processing to build and operate large-scale real-time data infrastructure for Confluent Cloud. You will tackle distributed systems challenges and contribute to a high-ownership, high-autonomy environment.

The role emphasizes designing reliable, scalable backend systems across cloud platforms (AWS, Azure, GCP) and requires strong fundamentals in distributed computing and networking.

Qualifications

• 2-5 years of industry experience designing, building, and supporting backend systems in production.
• Strong fundamentals in distributed systems, cloud infrastructure, and networking.
• Experience in building and operating large-scale, high-availability systems.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and their services.
• Proficiency in Java, Scala, C++, Go, or other statically typed languages.
• BS, MS, or PhD in computer science or a related field, or equivalent work experience.
• A self-starter with strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities

• Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud.
• Build foundational software to improve reliability, scalability, and efficiency across cloud environments.
• Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation.
• Collaborate with teams to optimize infrastructure for real-time data streaming use cases.
• Troubleshoot and improve system reliability, observability, and performance across cloud providers AWS, Azure, and GCP.

Skills

Distributed systems

Cloud infrastructure

Networking

Java

Scala

C++

Go

Education

Bachelor's Degree

Master's Degree

Tools

AWS

Azure

GCP

Kubernetes

Docker

Job description

IBM is seeking a Senior Software Developer - Stream Processing to build and operate large-scale real-time data infrastructure for Confluent Cloud. You will tackle distributed systems challenges and contribute to a high-ownership, high-autonomy environment.

The role emphasizes designing reliable, scalable backend systems across cloud platforms (AWS, Azure, GCP) and requires strong fundamentals in distributed computing and networking.