DevOps Engineer

We are seeking an enthusiastic DevOps Engineer who’s ready to join a talented, hard-working and ambitious operations team to build and support the next generation restaurant commerce and management engine and cloud-interactive applications.

What You’ll Do Here

• Design, Document, Deploy, and Diagnose cloud and distributed client services and act as escalation support for internal customer service and operations teams

Experience We’re Looking For

• Cloud microservice structuring and deployment experience in AWS/Docker/Linux
• Design experience with service and database vertical and lateral scaling
• Service monitoring with CloudWatch, Elaticsearch
• Windows 10/11 UWP/MAUI app deployment and OS servicing model
• REST Based Web Services (managing both services and clients of services)
• Database-connected applications in .NET framework
• Familiarity with C#, Javascript, Python and whitebox debugging
• Testing of APIs using Postman, JMeter, Karate, Insomnia
• Gitflow and CI/CD environments servicing 24/7/365 application stacks

• Desired
• Docker, Swarm, Kubernetes
• AWS, GCP, Azure
• MongoDB/NoSQL/LiteDB/DynamoDB Database
• Terraform infrastructure as code
• ControlTower well-architected framework

The Type of Team Player We Need

• Excited and loves to understand complex software 
• Proactive mindset - enjoys and exhibits a high-degree of ownership and initiative
• Experience working in a product company or product type software development experience
• Comfortable working in a small company, start-up, fast moving, ambitious environment
• Flexible mindset and able to deal with ambiguity 
• Excellent communication - in person, on the phone, and in writing
• Comfortable communicating with a wide range of individuals - including customers, peers, juniors, and seniors and executives 
• Intellectually curious, forward thinking, willing to suggest / try new technologies and creative approaches to problems
• Work in a small team and across development squads to monitor new software releases, configuration dependencies, and forecast operational difficulties