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Mid-level generalist SRE with broad cloud, Kubernetes, and Python requirements increases competition.
Cloud-native SRE skills are broadly transferable across industries.
Explicit years plus mandatory cloud, Kubernetes, IaC, CI/CD, and observability skills enforce strict filters.
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Design, deploy, and optimize cloud infrastructure on AWS and Azure, including management of Kubernetes clusters and serverless solutions.
Build automation frameworks and IaC for scalable, secure, and cost-optimized workloads using Python and tools like Terraform, CloudFormation, or Azure Bicep.
Implement and maintain CI/CD pipelines, observability practices, and participate in 24/7 on-call rotations for incident management and reliability improvement.
3–6 years of experience in Site Reliability Engineering, DevOps, or Cloud Engineering.
Strong expertise with AWS (EC2, S3, Lambda, CloudWatch, RDS, VPC) and Azure (VMs, Functions, Monitor, Networking).
Hands-on experience with Kubernetes (EKS, AKS), Docker, Python programming, CI/CD tools (Jenkins, GitHub Actions, GitLab, Azure DevOps).
Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Azure Bicep) and observability tools (Prometheus, Grafana, ELK/EFK, Datadog, New Relic).
Experienced cloud engineer comfortable managing multi-cloud environments with deep expertise in both AWS and Azure ecosystems.
Proactive in driving automation, operational excellence, and infrastructure scalability using Python and IaC.
Capable of on-call incident management, root cause analysis, and mentoring junior engineers in cloud-native operations and observability.