INACTIVE
Full-Time
Director of Infrastructure and Data Engineering
Used car online marketplace
Data & Analytics
Consumer Software
Senior, Expert
Remote
Required Skills
TCP/IP
Datadog
Kubernetes
Agile
Operating Systems
Postgres
AWS
Terraform
Development Operations (DevOps)
Linux/Unix
Data Analysis
Google Cloud Platform
Requirements
- 5+ years of experience managing teams supporting production cloud infrastructure (must include AWS and Kubernetes)
- 5+ years of experience mentoring engineers in DevOps disciplines of Cloud Infrastructure, Site Reliability Engineering, and Developer Productivity
- 10+ years of experience managing Linux-based Server Operating Systems
- 5+ years of experience managing environments using Infrastructure- and Configuration-as-Code (Terraform/CloudFormation/etc)
- 5+ years of experience managing large high-performance databases and data processing jobs for business-critical reporting applications
- 5+ years of experience managing costs related to cloud providers and SaaS tools, preferably including AWS Reserved and Spot Instances
- Excellent written and verbal communication skills and ability to communicate our long term technical strategy to partners across the business
- Thorough understanding of web service fundamentals, such as HTTP/S, SSL/TLS, TCP/UDP, caching, DNS and load balancing
- Expert knowledge of monitoring systems including host/OS metrics, logging, and web application performance, using SaaS products such as DataDog, StackDriver, etc
- PostgreSQL Database performance tuning and high-availability experience
- Experience working collaboratively with software engineers on web-apps, leveraging your familiarity with MVC frameworks, build pipelines and deployment strategies
- Experience establishing and facilitating agile methodologies to plan and track work across multiple teams
- Experience designing data infrastructure to handle PII to meet privacy regulations and data security concerns
- Production experience with Google Cloud Platform (GCP)
- Experience managing tooling for Machine Learning models and infrastructure for ML Training
Responsibilities
- Manage the infrastructure team and data engineering teams
- Mentor, recruit and guide staff to ensure infrastructure and data services are delivered using modern techniques
- Be a role model and Champion for team and cross-functional collaboration
- Demonstrate professionalism by example and empathy for other functional groups within the business
Shift's mission is to make buying and selling cars fun, fair, and accessible to everyone. The company is transforming the used car industry with a technology-driven, hassle-free customer experience.
Company Stage
IPO
Total Funding
$573M
Headquarters
San Francisco, California
Founded
2014
Growth & Insights
Headcount
6 month growth
↓ -14%1 year growth
↓ -22%2 year growth
↓ -32%Benefits
Flexible work schedule
Generous parental leave
Remote work program
Health insurance benefits
Generous PTO
Company equity
INACTIVE