Site Reliability Engineer – AI

Job not on LinkedIn

🕒 April 15

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 38%

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Logo of Madiff

Madiff

51 - 200 employees

Founded 2015

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.

📋 Description

• 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

• Minimum 5+ years of experience in SRE, Platform, or Production Engineering • Strong hands on experience with Kubernetes and production environments • Experience with Azure and Azure DevOps • Experience with monitoring tools such as Datadog • Strong understanding of incident management and root cause analysis • Ability to build practical monitoring and alerting systems • Nice to have: Experience with AI or LLM pipelines • Nice to have: Experience building monitoring platforms across multiple systems • Nice to have: Experience with Grafana • Nice to have: Experience working in large scale or distributed 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

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