Senior DevOps Engineer with Python

##### **Project description** Working on a cloud\-native enterprise data platform hosted on Microsoft Azure, supporting large\-scale data processing, storage, and analytics workloads. The platform provides a centralized foundation for data\-driven applications and services, with a strong focus on scalability, reliability, automation, and operational excellence. Compensation for NYC: 90000 \- 114000 USD Gross per year based on your interview results. ##### **Responsibilities** The role involves managing Kubernetes\-based environments, developing automation and platform tooling in Python, implementing and optimizing GitLab CI/CD pipelines, and supporting Azure cloud infrastructure. Responsibilities include infrastructure automation, deployment standardization, monitoring and observability, performance optimization, and ensuring secure and reliable delivery of platform services in a highly regulated enterprise environment. ##### **Skills** Must have Python — Strong proficiency in Python for automation, scripting, infrastructure tooling, and building CI/CD utilities. Kubernetes — Expert\-level knowledge of Kubernetes including cluster management, Helm charts, service mesh (Istio), pod orchestration, troubleshooting, and production\-grade deployments. CI/CD — Hands\-on experience designing, building, and maintaining end\-to\-end CI/CD pipelines with a focus on reliability and speed. GitLab CI/CD — Deep expertise in GitLab pipelines, including multi\-stage pipelines, templates, shared runners, artifacts, and pipeline\-as\-code best practices. Azure Cloud — Solid knowledge of Azure services (AKS, Azure DevOps, Virtual Networks, IAM/RBAC, Storage, Key Vault, Monitor) with experience in cloud architecture and cost optimization. Nice to have Infrastructure as Code (Terraform) Monitoring and observability (Prometheus, Grafana, Azure Monitor, ELK) Shell scripting (Bash/PowerShell) Networking fundamentals (DNS, load balancing, ingress controllers)