Software Engineer | Private Cloud Systems in India at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer | Private Cloud Systems in India.
This role sits at the core of a greenfield initiative to build next-generation private cloud infrastructure designed to replace and extend existing public cloud dependencies. You will work on low-level systems that power large-scale, high-throughput testing infrastructure processing millions of tests and petabytes of data monthly. The environment is highly technical, collaborative, and grounded in first-principles thinking, where engineers are encouraged to experiment, learn from failures, and engage in open, ego-free technical discussions. You will contribute directly to systems that demand extreme reliability, scalability, and performance while shaping foundational infrastructure used across multiple internal platforms. This is a hands-on engineering role where deep systems expertise meets continuous innovation. The work requires close collaboration with a small, highly skilled team building resilient distributed systems from the ground up.
You will be responsible for designing, building, and evolving core private cloud infrastructure systems while ensuring performance, reliability, and seamless integration across internal platforms.
- Design and develop major infrastructure components with a strong focus on fault tolerance, scalability, and performance
- Own systems end-to-end, from architecture and implementation to production deployment and ongoing maintenance
- Collaborate with cross-functional teams to ensure smooth integration and operation of infrastructure services
- Contribute to a culture of distributed leadership, adapting between leading, collaborating, and supporting peers as needed
- Promote a data-driven and code-first approach to decision-making across engineering initiatives
- Drive continuous improvements in system reliability, usability, and operational efficiency
- Participate in building an environment that values experimentation, learning from failures, and collective improvement
This role requires strong systems engineering expertise, deep technical curiosity, and hands-on experience building and optimizing distributed or low-level infrastructure systems.
- 5+ years of experience in systems software development and optimization
- Strong expertise in at least one of the following areas: virtualization, storage systems, service modeling, REST API/SDK generation, scientific or high-performance computing, or kernel development
- Proven experience designing, developing, or troubleshooting distributed systems
- Proficiency in systems programming languages such as C or C++, Go, and scripting languages like Python or Bash
- Comfortable working in Unix/Linux environments and command-line systems
- Strong analytical mindset with curiosity to learn new and adjacent technologies
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
- Bonus: experience with low-level performance monitoring and profiling tools (e.g., perf, BPF, PCM)
- Bonus: exposure to distributed AI/LLM inference tools (e.g., OpenVino, llama.cpp)
- Bonus: familiarity with distributed SQL systems such as SingleStore or similar technologies
- Competitive salary aligned with experience and market standards
- Performance-based bonuses (where applicable)
- Comprehensive health, medical, and insurance coverage
- Flexible working arrangements supporting hybrid/remote collaboration
- Opportunities to work on large-scale, cutting-edge infrastructure systems
- Learning and development support for technical growth and specialization
- Inclusive and collaborative engineering culture emphasizing experimentation and learning
- Exposure to advanced systems challenges in cloud, distributed systems, and AI-adjacent technologies