Overview
On Site
170k - 200k
Full Time
Skills
Network
Cloud Computing
Customer Facing
IaaS
Customization
DevOps
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Kubernetes
GitHub
Software Development
Python
Machine Learning Operations (ML Ops)
Management
Collaboration
Insurance
SAP BASIS
Job Details
A fortune 500 company is looking for a senior level Staff DevOps Engineer to contribute to an innovative team that is responsible for building their platform. This hybrid opportunity is based in Chicago and requires a full-time candidate with 7+ years of experience in platform or infrastructure engineering.
Join a team that is consistently ranked as one of the best places to work and offers competitive compensation and benefits package. You will have the opportunity to impact engineering, network, and security each step of the way bv using your knowledge of Kubernetes, Cloud, and Machine Learning to create a customer-facing product that delivers real solutions to real people.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Join a team that is consistently ranked as one of the best places to work and offers competitive compensation and benefits package. You will have the opportunity to impact engineering, network, and security each step of the way bv using your knowledge of Kubernetes, Cloud, and Machine Learning to create a customer-facing product that delivers real solutions to real people.
Required Skills & Experience
- 7+ Years of experience or equivalent in staff-level platform or infrastructure engineering
- Strong Kubernetes administration experience
- Strong experience with scalable cloud infrastructure
- SRE Operation Expertise (emphasis on monitoring, observability, and customizing solutions)
- DevOps and CI/CD experience (GitHub Pipelines, IaC, Monitoring)
- Development experience (specifically developing production-grade software with Python, Go, or other JVM language)
- Chicago residents preferred
- Machine learning domain knowledge
Tech Breakdown
- 40% Kubernetes administration
- 30% GitHub pipelines
- 20% Software Development with Python (or other JVM language)
- 10% Machine Learning operations
- 50% Hands On
- 40% Management Duties
- 10% Team Collaboration
The Offer
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.