7 hours ago
Remote, Brazil or São Paulo, BrazilSenior
Responsibilities
- Monitor platform availability, latency, throughput, SLIs, SLOs, error budgets, and overall health.
- Design and maintain dashboards, alerts, and telemetry for AI behavior, model usage, latency, throttling, quotas, errors, costs, output quality, and drift.
- Operate Kubernetes clusters and Azure cloud services, including capacity planning, autoscaling, upgrades, networking, and workload health.
- Partner with DevOps engineers to improve GitHub Actions CI/CD pipelines with reliability checks, testing, progressive delivery, and rollback practices.
- Provision and manage cloud environments with Terraform and other infrastructure-as-code tools.
- Participate in on-call and incident response, lead blameless post-incident reviews, maintain runbooks, and reduce recurring operational toil.
- Conduct capacity planning, load and failure testing, and disaster recovery readiness activities.
- Collaborate with developers, data scientists, security, and enterprise architecture teams and document operational guidance.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- At least 5 years of practical experience in site reliability engineering, DevOps, or cloud operations.
- Strong hands-on experience running production workloads on Kubernetes, including deployment, configuration management, networking, autoscaling, upgrades, and troubleshooting.
- Production cloud operations experience with Azure, AWS, or GCP.
- Experience with Azure Monitor, Prometheus, Grafana, Dynatrace, or similar observability tooling, including OpenTelemetry-based tracing, metrics, and logging.
- Experience defining SLIs, SLOs, and error budgets and creating actionable alerting.
- Experience with CI/CD, infrastructure as code, scripting or programming such as Python, Bash, PowerShell, or Go, and collaboration on pipeline design.
- Strong incident management, troubleshooting, communication, on-call, and blameless post-incident review experience.
- Willingness to learn how AI solutions and models behave in production; prior AI or machine learning experience is not required.
- Preferred qualifications include Azure services such as Azure Kubernetes Service, Azure API Management, and Azure AI Foundry; AI/ML or generative AI workload monitoring; Helm, KEDA, service meshes, GPU-enabled workloads; DevSecOps practices; and CKA, Azure Administrator, or Azure DevOps Engineer Expert certifications.
Benefits
- Hybrid-friendly work culture.
- Be Well programs supporting financial, mental, physical, and social health.
- Career development tools, personalized development goals, continuous feedback, coaching, and hands-on learning.
- Access to certification and learning opportunities with Microsoft, Google, and Amazon.
Tech Stack
Categories
Site Reliability
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.