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在 Kenvue，我們意識到日常護理的非凡力量。我們以一個多世紀的傳統為基礎，植根於科學，是標誌性品牌的品牌 - 包括您已經熟悉和喜愛的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科學是我們的熱情所在;關心就是我們的才能。

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我們的全球團隊由 ~ 22,000 名才華橫溢的員工組成，他們的職場文化中，每個聲音都很重要，每一個貢獻都受到讚賞。 我們熱衷於洞察， 創新並致力於為我們的客戶提供最好的產品。憑藉專業知識和同理心，成為 Kenvuer 意味著每天有能力影響數百萬人。我們以人為本，熱切關懷，以科學贏得信任，以勇氣解決——有絕佳的機會等著您！加入我們，塑造我們和您的未來。有關更多資訊，請按兩下 here.

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Senior Software Engineer - Data Platform Engineering

Role Overview

We are seeking a Senior Software Engineer to build, automate, and operate enterprise-scale data platforms powered by Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud-native technologies. This role focuses on platform engineering, DevOps automation, reliability, observability, security, and self-service enablement for data engineering and analytics teams.

The ideal candidate will have strong experience managing modern data platforms, implementing Infrastructure as Code, automating deployments, optimizing platform performance, and ensuring operational excellence across cloud-based environments.

Key Responsibilities

Data Platform Engineering

• Design, implement, and support enterprise data platforms based on Databricks, Snowflake, and Microsoft Fabric.
• Build reusable platform capabilities enabling self-service onboarding, provisioning, monitoring, and governance.
• Standardize platform architecture, deployment patterns, and operational processes.
• Support multi-environment strategies (Development, QA, Production).

Kubernetes & Cloud Infrastructure

• Build and manage Kubernetes-based platform services supporting data processing workloads.
• Deploy and operate containerized applications and platform services using Kubernetes.
• Implement auto-scaling, high availability, disaster recovery, and resiliency patterns.
• Manage infrastructure through Infrastructure as Code (Terraform, Bicep, Helm).

DevOps & Platform Automation

• Develop CI/CD pipelines for platform deployment and configuration management.
• Automate provisioning of Databricks workspaces, Snowflake objects, Fabric resources, and Kubernetes infrastructure.
• Implement GitOps and automated release management practices.
• Build platform automation frameworks to reduce manual operational effort.

Reliability Engineering & Operations

• Establish monitoring, observability, and alerting across platform components.
• Drive platform reliability, stability, and performance improvements.
• Perform root cause analysis and remediation of platform incidents.
• Support production operations and critical issue resolution.

Security & Governance

• Implement platform security controls, RBAC, secrets management, and network security.
• Ensure compliance with enterprise governance standards.
• Support metadata management, auditing, lineage, and monitoring controls.
• Partner with cybersecurity teams to address platform vulnerabilities and risks.

Cost Optimization & Capacity Management

• Optimize Databricks clusters, Snowflake warehouses, Fabric capacities, and Kubernetes resources.
• Monitor platform utilization and recommend cost-saving opportunities.
• Implement FinOps practices and governance guardrails.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 5-7 years of experience in Platform Engineering, DevOps, Cloud Engineering, or Data Platform Operations.
• Strong experience supporting Databricks, Snowflake, or Microsoft Fabric platforms.
• Experience managing Kubernetes-based workloads in production environments.
• Hands-on experience with CI/CD, Infrastructure as Code, and cloud-native architectures.
• Strong scripting and automation experience using Python, PowerShell, Bash, or similar languages.
• Experience working within Agile and DevOps delivery models.

Required Technical Skills

Data Platforms

• Databricks
• Snowflake
• Microsoft Fabric
• Delta Lake
• Data Lakehouse Architecture

Kubernetes & Containers

• Kubernetes
• Docker
• Helm
• Kustomize
• Container Lifecycle Management

DevOps & Automation

• Azure DevOps
• GitHub Actions
• Jenkins
• Git
• CI/CD Pipelines

Infrastructure as Code

• Terraform
• Bicep
• ARM Templates
• Infrastructure Automation

Cloud Platforms

• Microsoft Azure (Preferred)
• AWS or GCP Exposure

Monitoring & Observability

• Prometheus
• Grafana
• Azure Monitor
• Log Analytics
• OpenTelemetry

Platform Security

• RBAC
• Azure AD / Entra ID
• Secret Management
• Key Vault
• Security Automation

Programming

• Python
• SQL
• PowerShell
• Bash

Preferred Qualifications

• Databricks Certified Data Engineer or Platform Administrator.
• SnowPro Certification.
• Microsoft Fabric Certification.
• Certified Kubernetes Administrator (CKA).
• Terraform Associate Certification.
• Experience with: Apache Airflow Kafka Spark on Kubernetes Kyuubi GitOps ArgoCD Service Mesh Platform SRE Practices

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