Software Engineer, Real-Time AI & Streaming Infrastructure

IBM; Markham; On-site; GBP 90,000 - 120,000; Full time

Job summary

IBM Software seeks a Software Developer on the AI team to design and operate the infrastructure that powers in‑place AI on streaming data within Confluent Cloud. You will own critical backend components and help scale for real‑time workloads.

You will tackle distributed systems challenges across networking, compute, and security, collaborating with cross‑team partners to deliver reliable, cost‑efficient serving layers that enable customers to run AI agents at scale.

Qualifications

• 2-5 years of industry experience designing, building, and supporting backend systems.
• Strong fundamentals in distributed systems, cloud infrastructure, and networking.
• Proficiency in Java, Scala, C++, Go, or other statically typed languages.
• BS, MS, or PhD in computer science or related field, or equivalent work experience.

Responsibilities

• Design, develop, and operate large-scale, high-performance infrastructure powering 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 across Confluent to optimize infrastructure for real-time data streaming use cases.
• Troubleshoot and improve system reliability, observability, and performance across multiple cloud providers (AWS, Azure, GCP).

Skills

Distributed systems

Cloud infrastructure

Networking

Backend systems

Java/Scala/C++/Go

Education

BS, MS, or PhD in computer science or related field

Tools

AWS

Azure

GCP

Job description

IBM Software seeks a Software Developer on the AI team to design and operate the infrastructure that powers in‑place AI on streaming data within Confluent Cloud. You will own critical backend components and help scale for real‑time workloads.

You will tackle distributed systems challenges across networking, compute, and security, collaborating with cross‑team partners to deliver reliable, cost‑efficient serving layers that enable customers to run AI agents at scale.