Senior DevOps Engineer with Python

Job Description

Poject Description:

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\n 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

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.Compensation for NYC: 140000 - 150000 USD Gross per year based on your interview results

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\n Responsibilitie

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s: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 environmen

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\n Mandatory Skills Descripti

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• on:Python — Strong proficiency in Python for automation, scripting, infrastructure tooling, and building CI/CD utiliti

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• es.Kubernetes — Expert-level knowledge of Kubernetes including cluster management, Helm charts, service mesh (Istio), pod orchestration, troubleshooting, and production-grade deploymen

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• ts.CI/CD — Hands-on experience designing, building, and maintaining end-to-end CI/CD pipelines with a focus on reliability and spe

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• ed.GitLab CI/CD — Deep expertise in GitLab pipelines, including multi-stage pipelines, templates, shared runners, artifacts, and pipeline-as-code best practic

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• es.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 optimizati

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\n Nice-to-Have Skills Descript

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• ion:Infrastructure as Code (Terraf

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• orm)Monitoring and observability (Prometheus, Grafana, Azure Monitor,

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• ELK)Shell scripting (Bash/PowerSh

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• ell)Networking fundamentals (DNS, load balancing, ingress controll

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• ers)Incident management and on-call experi

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ence