Cloud-Native Systems Engineer Manager

4 days ago

Bengaluru, Karnataka, India beBeeEngineering Full time US$ 1,50,000 - US$ 2,50,000
Cloud Engineering Leadership

We are seeking a seasoned engineering leader to join our Distributed Cloud team. The successful candidate will have a strong track record of delivering complex, cloud-native systems and will be responsible for guiding a high-performing team of software engineers.

In this role, you will work closely with cross-functional teams to define priorities, scope projects, and deliver high-impact features. You will also be responsible for driving the design, implementation, and operation of large-scale, distributed cloud services across multi-cloud and edge environments.

Key Responsibilities
  • Lead, mentor, and grow a team of software engineers working on F5's Distributed Cloud platform.
  • Partner with Product Management, Architecture, and other engineering teams to define priorities, scope projects, and deliver high-impact features.
  • Drive the design, implementation, and operation of large-scale, distributed cloud services across multi-cloud and edge environments.
  • Champion engineering best practices, including CI/CD, test automation, observability, and operational excellence.
  • Ensure security, scalability, and resilience are core considerations in all deliverables.

The ideal candidate will have a strong technical foundation in areas such as Kubernetes, microservices, networking, and cloud infrastructure (AWS, Azure, GCP). They will also have experience with Go, Python, Java, or similar languages, and familiarity with observability, monitoring, and incident response in large-scale systems.

Requirements
  • 7+ years of professional software engineering experience, including 2+ years in a technical leadership or engineering management role.
  • Proven success delivering complex, distributed systems in production, ideally in SaaS or cloud environments.
  • Strong technical foundation in areas such as Kubernetes, microservices, networking, and cloud infrastructure (AWS, Azure, GCP).
  • Experience with Go, Python, Java, or similar languages.
  • Familiarity with observability, monitoring, and incident response in large-scale systems.

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