Storage Software Engineer

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A Distributed Systems Control Plane will be designing, building, and maintaining the control plane of large-scale, distributed storage systems. The control plane is responsible for orchestration, configuration, management, and policy enforcement, ensuring the efficient operation of the data plane, which handles actual data processing and traffic. You will design scalable, fault-tolerant, and high-performance systems that automate provisioning, monitoring, and lifecycle management of services across cloud and on-premises environments.

Who You Are

• Passionate about distributed storage systems and infrastructure automation.
• Able to balance scalability, performance, and operational simplicity.
• Comfortable working in fast-paced environments with complex dependencies.
• Strong problem-solver and self propelled who enjoys debugging and optimizing critical infrastructure components.
  
  
  

Key Responsibilities

• Design and implement control plane components that manage distributed storage infrastructure, ensuring reliability and efficiency.
• Develop APIs and automation to enable seamless integration with orchestration frameworks in Kubernetes environment.
• Build and maintain distributed coordination systems to manage service discovery, leader election, and configuration.
• Ensure high availability, scalability, and fault tolerance of control plane services through robust engineering practices.
• Implement security, authentication, and authorization mechanisms for safe access to control plane resources.
• Collaborate with SREs, DevOps, and infrastructure teams to define operational best practices.
• Monitor and optimize control plane performance, identifying and resolving bottlenecks.
• Contribute to open-source projects and stay up to date with industry trends in distributed systems and cloud infrastructure.
  
  
  

Required Skills

• Strong programming experience in Golang, Python, C++ , or Java.
• Expertise in distributed systems, microservices, and cloud-native architectures.
• Hands-on experience with Kubernetes, service meshes (Istio), and container orchestration.
• Knowledge of API design, gRPC, REST, and event-driven architectures.
• Experience with consensus algorithms (Raft, Paxos) and distributed coordination frameworks.
• Understanding of observability tools (Prometheus, OpenTelemetry) for monitoring control plane health.
• Strong debugging and performance tuning skills in distributed environments.
• Experience building control planes, schedulers, or orchestration frameworks in large-scale infrastructure environments.
• Ability to debug and optimize distributed systems for performance and resource efficiency.
  
  
  

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