This job was removed from Madiff's hiring system and is no longer accepting applications. See open jobs like this one.
Listed on Himalayas. You apply through their page. We never charge applicants.
Estimated pay
Estimate$142K–$169K/yr
Estimate — the employer hasn't published pay.
Based on 26 similar mid-level Site Reliability Engineer jobs in United States that show pay. The range is the middle half of their posted pay (25th to 75th percentile), not an offer — ask the employer for the real range.
DevOps & SRE salaries →Prepare for this job
Free on every jobLikely interview questions
At a glance
- Experience asked
- 5+ years
Skills mentioned
About the role
This is a remote position.
We are looking for a Senior Site Reliability Engineer to support advanced AI platforms responsible for production-grade applications and pipelines. The role focuses on building and maintaining reliability, scalability, and operational excellence across multiple AI-driven systems.
The engineer will work on a central operational layer for monitoring and managing AI workloads, improving system stability, and reducing incidents. This is a hands-on role requiring direct involvement in diagnosing production issues, implementing fixes, and optimising monitoring, alerting, and CI/CD processes.
The position requires close collaboration with engineering teams to improve release quality, standardise telemetry, and ensure stable and predictable system behaviour in a distributed cloud environment.
- Build and maintain central monitoring and alerting layer for AI applications and pipelines
- Define and implement SLIs, alerts, and operational dashboards
- Manage incidents including triage, coordination, root cause analysis, and prevention
- Standardise telemetry across systems including latency, throughput, and failures
- Optimise CI CD pipelines and introduce quality gates for reliability
- Work closely with engineering teams to reduce recurring issues and improve stability
Requirements
- Minimum5+ years of experiencein SRE, Platform, or Production Engineering
- Strong hands on experience withKubernetesand production environments
- Experience withAzure and Azure DevOps
- Experience with monitoring tools such asDatadog
- Strong understanding ofincident management and root cause analysis
- Ability to build practical monitoring and alerting systems
- Experience withAI or LLM pipelines
- Experience building monitoring platforms across multiple systems
- Experience withGrafana
- Experience working in large scale or distributed environments
- Strong ownership mindset and accountability for system stability
- Proactive approach to identifying risks and improvements
- Hands on engineer actively working with systems, not only coordinating
- Comfortable working in dynamic and evolving environments
Benefits
- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive healthcare
- Long-term B2B contract with a stable project pipeline
- Work model: fully remote
Originally posted on Himalayas