Chief Distributed Systems Architect

2 days ago

Hyderabad, Telangana, India beBeeSenior Full time ₹ 12,00,000 - ₹ 17,00,000
Job Summary:

We are seeking a highly skilled Senior Software Engineer to join our team. This role will involve designing and developing large-scale, highly available distributed systems or cloud-based services.

The ideal candidate will have extensive experience in C and C++ programming, focusing on performance and reliability. A solid understanding of Linux clustering technologies such as Pacemaker and Corosync is also essential.

  • Develop software that powers NAS appliances, delivering high performance and reliability to customers
  • Investigate and resolve bugs and defects reported by QA, customer support, and the development team
  • Design and own core technologies for high availability and non-disruptive upgrade mechanisms in distributed systems
Key Responsibilities:
  • Evolving platform architecture and operating system through collaborative efforts
  • Maintaining software quality and ensuring seamless customer experiences
  • Leading technical implementation efforts, including rapid prototyping and delivery of proof-of-concept solutions
Requirements and Qualifications:

To succeed in this role, you'll need:

  • 5+ years of experience building and operating large-scale, highly available distributed systems or cloud-based services
  • Proven expertise in object-oriented design and SDK development in on-premises and cloud environments
  • Deep knowledge of data structures, algorithms, multi-threaded systems, I/O subsystems, and Linux internals
  • Strong grasp of operating systems, distributed systems architecture, and cloud service fundamentals
  • Experience working with hypervisor platforms like ESX, Hyper-V, KVM, or OpenStack
  • Excellent written and verbal communication skills to present complex technical topics to diverse audiences
Bonus Skills:
  • Prior API creation and utilization
  • Open-source community contributions
  • PostgreSQL experience
  • Exposure to Cloud Storage backend integration with AWS or Azure
  • Containerization with Docker and Kubernetes
  • Knowledge of high-level languages like Golang, Java, or Perl

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