Senior Cloud Platform Engineer - Real-Time Data Systems

IBM

Raleigh (NC)

On-site

USD 120,000 - 170,000

Full time

11 hours ago
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Job summary

IBM Software is transforming client challenges into cloud-native, AI-powered solutions. This backend role focuses on scalable, multi-tenant distributed services using Python, Go, C/C++, and Java, running in public clouds with Docker and Kubernetes.

You will lead end-to-end design and delivery, balancing reliability and performance, and help improve observability. You’ll mentor peers and contribute to a culture of continuous improvement within a collaborative team.

Qualifications

  • 4+ years industry experience designing, building, and supporting backend systems.
  • Strong knowledge of Python runtime environments and package management.
  • Proficiency in multiple languages (Python, Go, C/C++, Java).
  • Experience with public clouds and container orchestration (Docker, Kubernetes).

Responsibilities

  • Own and lead the design and implementation of complex backend services in a cloud-native, microservices-based environment.
  • Make architecture and technical decisions balancing reliability, scalability, performance, and operability.
  • Drive end-to-end projects from requirements through production rollout.
  • Improve service reliability by defining SLOs/SLAs and observability.
  • Collaborate to define APIs, data models, and integration points.
  • Identify platform improvements to raise engineering productivity.
  • Mentor engineers through reviews and guidance.
  • Contribute to a culture of continuous improvement and high technical standards.

Skills

Python
Go
C/C++
Java
Observability
Cloud Technologies
Leadership
Communication

Education

Master's Degree in Computer Science or related field

Tools

Docker
Kubernetes
AWS
GCP
Azure

Job description

IBM Software is transforming client challenges into cloud-native, AI-powered solutions. This backend role focuses on scalable, multi-tenant distributed services using Python, Go, C/C++, and Java, running in public clouds with Docker and Kubernetes.

You will lead end-to-end design and delivery, balancing reliability and performance, and help improve observability. You’ll mentor peers and contribute to a culture of continuous improvement within a collaborative team.

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