Poject 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: 140000 - 150000 USD Gross per year based on your interview results
.
Responsibilitie
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
t.
Mandatory Skills Descripti
- on:Python — Strong proficiency in Python for automation, scripting, infrastructure tooling, and building CI/CD utiliti
- es.Kubernetes — Expert-level knowledge of Kubernetes including cluster management, Helm charts, service mesh (Istio), pod orchestration, troubleshooting, and production-grade deploymen
- ts.CI/CD — Hands-on experience designing, building, and maintaining end-to-end CI/CD pipelines with a focus on reliability and spe
- ed.GitLab CI/CD — Deep expertise in GitLab pipelines, including multi-stage pipelines, templates, shared runners, artifacts, and pipeline-as-code best practic
- 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
on.
Nice-to-Have Skills Descript
- ion:Infrastructure as Code (Terraf
- orm)Monitoring and observability (Prometheus, Grafana, Azure Monitor,
- ELK)Shell scripting (Bash/PowerSh
- ell)Networking fundamentals (DNS, load balancing, ingress controll
- ers)Incident management and on-call experi
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