Site Reliability Engineer – AI Platform

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• Monitor and support production platform systems • Define and track SLIs, SLOs, and error budgets for availability, latency, and throughput • Design and maintain dashboards, alerts, and telemetry for AI solution behavior and model usage • Monitor token consumption, request latency, throttling, quota limits, error rates, cost attribution, and output quality or drift signals • Run and support Kubernetes clusters and Azure cloud services • Manage capacity planning, autoscaling, upgrades, workload health, and resource optimization • Partner with DevOps engineers to automate and improve GitHub Actions CI/CD pipelines • Embed reliability checks, automated testing, progressive delivery, and rollback practices • Use Terraform and other infrastructure-as-code tools to provision and manage cloud environments • Participate in on-call and incident response • Lead blameless post-incident reviews, maintain runbooks, and drive corrective actions • Conduct capacity planning, load and failure testing, and disaster recovery readiness • Collaborate with developers, data scientists, security, and enterprise architecture teams • Document operational guidance for platform consumers

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field • 5+ years of practical experience in site reliability engineering, DevOps, or cloud operations • Strong hands-on experience running production workloads on Kubernetes, including deployment and configuration management, networking, autoscaling, cluster upgrades, and troubleshooting • Experience operating production workloads in a major public cloud: Azure, AWS, or GCP • Proficiency with observability tooling such as Azure Monitor, Prometheus, Grafana, or Dynatrace • Experience with OpenTelemetry-based tracing, metrics, and logging • Experience defining SLIs, SLOs, and error budgets • Experience building actionable alerting that reduces noise • Experience with CI/CD pipelines, preferably GitHub Actions • Experience with infrastructure as code, preferably Terraform • Scripting or programming experience with Python, Bash, PowerShell, or Go • Strong incident management and troubleshooting skills • Experience in on-call rotations and blameless post-incident reviews • Curiosity and willingness to learn how AI solutions and models behave in production • Preferred: Azure services, AI/ML or generative AI workload monitoring, Helm, KEDA, service meshes, GPU-enabled workloads, DevSecOps, secrets management, policy as code, supply chain security, and relevant certifications

🏖️ Benefits

• Flexible, supportive environment • Well-being prioritized • Be Well programs supporting financial, mental, physical, and social health • Personalized development goals and continuous feedback • Certifications with Microsoft, Google, and Amazon • Coaching and hands-on learning experiences • Cutting-edge learning opportunities • Career path tools and professional development support • Full-time employment