Platform Engineer

Tech Wish, LLC
New York, NY, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Proxy Servers Bash Shell Cyber Security Computer Networks Data Infrastructure Software Debugging Domain Name System (DNS) Identity and Access Management
+18 more
Virtual Private Networks (VPN) Python (Programming Language) OpenID Ansible Prometheus Single Sign-On Data Logging Load Balancing Grafana Amazon Virtual Private Cloud (VPC) Cloudformation Amazon Relational Database Service Kubernetes Information Technology Functional Programming Cloudwatch Terraform Elk Stack

Job description

Platform Engineers at Fractal are responsible for developing, maintaining, and optimizing the infrastructure that powers enterprise analytics platforms. In this role, you will manage dbt and Airflow instances, handle system upgrades, resolve infrastructure issues, and support the development and deployment of custom applications - all while adhering to rigorous security and compliance standards. This is a high-impact engineering role at the heart of a modern cloud-native data stack., * Develop, deploy, and maintain dbt and Airflow instances in production

  • Manage Kubernetes clusters and containerized applications
  • Implement and maintain CI/CD pipelines for data applications
  • Handle system upgrades, version migrations, and maintenance windows
  • Troubleshoot and resolve infrastructure issues affecting pipeline execution
  • Implement monitoring, alerting, and logging for infrastructure health
  • Manage infrastructure as code (IaC) using Terraform or CloudFormation
  • Provide security hardening and ensure compliance with InfoSec policies
  • Support ML compute infrastructure and scaling requirements
  • Collaborate with data engineers on pipeline optimization and troubleshooting
  • Document infrastructure architecture, procedures, and runbooks
  • Participate in on-call rotation for infrastructure support and incident response

Requirements

LatAm Position (G7): 6-10 years of platform/infrastructure engineering experience

  • 3 years with Kubernetes and container orchestration
  • 3 years with AWS or similar cloud platforms
  • 2 years managing data infrastructure (Airflow, dbt, or similar)
  • Expert-level Kubernetes administration and orchestration
  • Advanced AWS knowledge: EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch
  • Proficiency in Infrastructure as Code: Terraform, CloudFormation, or Ansible
  • Strong Python and Bash scripting skills
  • Experience with dbt and Airflow infrastructure and scaling
  • Knowledge of networking concepts: proxies, load balancers, DNS, VPNs
  • Understanding of security best practices: SSO, OIDC, IAM, encryption
  • Monitoring and logging tools: Prometheus, Grafana, CloudWatch, ELK stack

Preferred Skills

  • Strong problem-solving and debugging skills
  • Excellent documentation practices
  • Ability to work under pressure during incidents and outages
  • Collaborative approach to supporting multiple teams
  • Commitment to reliability and operational excellence
  • Bachelors degree in Computer Science, Engineering, or related field
  • Masters degree or relevant cloud certifications preferred

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