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Platform Engineer at Wanderlog | JobVerse
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Platform Engineer
Wanderlog
Website
LinkedIn
Platform Engineer
United States
Full Time
5 hours ago
H1B Sponsor
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Key skills
Airflow
AWS
Azure
Cloud
Google Cloud Platform
Hadoop
Kubernetes
Spark
AI
GCP
Google Cloud
IAM
SSO
CI/CD
Leadership
About this role
Role Overview
Implement and operate the NexusOne platform across on‑prem, hybrid, and cloud environments.
Deploy, configure, and manage data services, pipelines, orchestration, governance, and security components.
Build and maintain CI/CD pipelines and infrastructure‑as‑code (IaC) for platform provisioning and upgrades.
Implement integration points between services (e.g., Spark, Trino, Airflow, NiFi, Ranger, DataHub) and underlying storage/compute layers.
Configure and tune platform components for performance, reliability, and cost efficiency.
Implement platform security controls (IAM, encryption, RBAC, SSO) in alignment with architectural and compliance requirements.
Set up and maintain monitoring, logging, and alerting for platform components using observability tools.
Troubleshoot and resolve issues in data pipelines, platform services, and underlying infrastructure.
Contribute to and maintain runbooks, operational documentation, and platform configuration standards.
Provide feedback to product teams on platform behavior, constraints, and improvement opportunities.
Support client implementation teams by providing technical guidance, best practices, and hands-on assistance during rollouts.
Requirements
3–7 years of experience as a platform engineer, DevOps engineer, site reliability engineer, or data platform engineer.
Hands-on experience deploying and operating open‑source data platforms (e.g., Hadoop/Spark-based platforms or Kubernetes‑based data stacks).
Experience running workloads in at least one major cloud provider (AWS, GCP, Azure) and familiarity with hybrid/on‑prem environments.
Exposure to enterprise security and governance practices; able to implement controls designed by security/architecture teams.
Comfortable working directly with architects, engineers, and customers to understand requirements and resolve issues.
Tech Stack
Airflow
AWS
Azure
Cloud
Google Cloud Platform
Hadoop
Kubernetes
Spark
Benefits
A collaborative team culture built on curiosity and respect
Challenging work where your contributions clearly matter
A leadership team that invests in learning and development
The opportunity to work at the intersection of cloud, data, and AI innovation
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