Staff Cloud Platform Engineer — Distributed Systems Leader

IBM

Toronto

On-site

CAD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Job summary

IBM is seeking a Staff Software Engineer I to design and deliver advanced control plane platforms for our Confluent Cloud. You will own complex initiatives spanning multiple teams, shaping architecture, scalability, and reliability of our cloud platform.

You will mentor engineers, drive high-impact projects, and improve platform observability and deployment safety, while partnering with Cloud Platform, Kafka, Security, and SRE teams to align on long-term strategy.

Qualifications

  • 8+ years of software engineering experience.
  • Distributed systems design and cloud-native architectures.
  • Experience with Kubernetes or similar orchestration platforms.
  • Proficiency in Go, Java, or Scala.
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Responsibilities

  • Own end-to-end architecture and delivery of control plane systems for cloud products.
  • Lead cross-team initiatives, define requirements, and drive execution.
  • Improve platform reliability with observability, SLOs, runbooks, and safe deployment.
  • Collaborate with Cloud Platform, Kafka, Compute, Security, SRE, and others to align architecture.
  • Mentor engineers and elevate engineering standards across the org.
  • Enhance developer productivity with tooling, CI/CD, and testing strategies.
  • Influence technical roadmaps aligned to business goals.
  • Contribute to engineering culture through docs, reviews, and knowledge sharing.

Skills

Architectural leadership
Cross-team leadership
Strong communicator
Operational excellence
Distributed systems

Education

Master's degree

Tools

Kubernetes
Kafka
Go
Java
Scala
AWS/GCP/Azure

Job description

IBM is seeking a Staff Software Engineer I to design and deliver advanced control plane platforms for our Confluent Cloud. You will own complex initiatives spanning multiple teams, shaping architecture, scalability, and reliability of our cloud platform.

You will mentor engineers, drive high-impact projects, and improve platform observability and deployment safety, while partnering with Cloud Platform, Kafka, Security, and SRE teams to align on long-term strategy.

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