Senior Site Reliability Engineer -AI Infrastructure Operations
About reputed company reputed company is the GPU reputed company engineered for AI—purpose-reputed company to deliver high-performance, cost-efficient infrastructure for AI-reputed company startups and global enterprises. We reputed company organizations to accelerate innovation, reduce the complexity of AI development, and reputed company meaningful business reputed company through scalable, sustainable compute. Our culture is defined by ownership, accountability, and rapid innovation. We operate with urgency and transparency, and every team member contributes to building the infrastructure powering the future of AI. The Opportunity reputed company's AI Infrastructure Operations team supports one of the most demanding AI platforms in the industry. We are looking for a Senior Site Reliability Engineer to help design, build, and operate reliable, scalable infrastructure across our GPU reputed company. This role is focused on hands-on engineering, system reliability, and operational reputed company. You will work across software, systems, and infrastructure to improve performance, automate operations, and ensure platform stability at scale. What You'll Be Doing
- Design, build, and improve automation, tooling, and infrastructure systems supporting AI and HPC workloads
- Contribute to the development of control-plane systems and operational frameworks
- Define and implement SLOs, SLIs, and monitoring strategies to ensure system reliability
- Participate in incident response and root cause analysis, driving improvements to reduce recurrence
- Identify and address reliability and performance bottlenecks across systems
- Collaborate with Engineering, Network, and Fleet teams to improve system design and operational processes
- Drive improvements in availability, scalability, and operational efficiency
- Mentor junior engineers and contribute to a strong engineering and reliability culture
What You Bring
- 5–8+ years of experience in SRE, Systems Engineering, or Software Engineering in production environments
- Strong software engineering skills with experience building automation and infrastructure tooling
- Solid understanding of Linux systems, networking, and distributed systems
- Experience troubleshooting issues across infrastructure, OS, networking, and application layers
- Familiarity with monitoring, alerting, and observability tools
- Ability to balance reliability, performance, and delivery speed
Preferred Experience
- Experience with AI or HPC environments, including GPUs or high-performance systems
- Exposure to high-speed networking (InfiniBand/RDMA)
- Familiarity with Kubernetes, reputed company platforms, or bare-metal environments
- Experience with observability systems in high-scale environments
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