Reliability Driven Systems Specialist

1 day ago

Varanasi, Uttar Pradesh, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,50,000
Incident Resilience Engineer\

Organizations rely on seamless operations to drive revenue and trust. Conversely, even brief outages can have devastating effects.

BugRaid's innovative solution is a pioneering incident copilot – an intelligent system capable of detecting, diagnosing, and resolving complex production incidents.

Achieving autonomous reliability for enterprise infrastructure is our vision. Inspired by the convergence of AIOps and generative AI, we are designing a cutting-edge platform that prioritizes security, scalability, and production readiness.

We seek an experienced Incident Resilience Engineer or Research Scientist with a track record of developing and deploying AI/ML systems at scale. Your contributions will shape BugRaid's agentic intelligence, enabling our platform to conduct root cause analysis and automated remediation in demanding environments.

This role bridges AI research and production engineering, requiring you to experiment with LLMs, reinforcement learning, and synthetic data while implementing these concepts into scalable and dependable systems.

  • Enterprise-Grade AI Development: Design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.
  • LLM & Agent Research: Develop and test reasoning workflows, prompting strategies, and tool-use policies tailored for large-scale observability data.
  • Training & Alignment: Utilize techniques like fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows, minimizing reliance on toy datasets.
  • Synthetic Data Generation: Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
  • Cross-Team Collaboration: Collaborate closely with infrastructure engineers, SREs, and product leaders to integrate AI research into the BugRaid platform.
  • Production Excellence: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
  • Frontier Tracking: Stay abreast of the latest research in LLMs, agentic AI, and reliability, incorporating innovations into enterprise production environments.

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