Company Description

We’re a forward thinking digital process consultancy, implementor and outsourcer, with domain expertise in sales planning, forecasting, incentive compensation, total pay and back office administration.

Job Description

The Product Support Engineer is someone who enjoys the technical side of things but likes talking to people every once in a while. You will need the ability both to investigate technical problems and communicate them to others. When someone has a challenge on their automations, they come to us.

You will have access to a wide array of resources. With these tools, we expect you to be bold and immersed in all manners related to the supportability of our RPA products.

If you like complex challenges, cutting edge technologies this would be the role for you.

Responsibilities

·        Engage with customers, investigate technical issues they may have, and either solve the issue or escalate them to the product team. (Expect to be challenged on a technical level!)

·       Your primary technical focus will be on the infrastructure and deployment of our products.

·        Typical customer engagements can include investigating bugs, troubleshooting deployments, handling outages, etc.

·        Set up environments for debugging, explore products, and cultivating supportability knowledge.

·       You will mentor and knowledge share with the support team.

Qualifications

• Experience with troubleshooting and administrating networks (HTTPS, network diagnostics, etc). All our technologies have web server-based components and rely heavily on HTTPS.

• Demonstrated knowledge and experience with Web Server technologies (experience with IIS is a plus).

• Unix-like administration experience (We expect you to be able to troubleshoot and configure software running on a Unix-like operating system).

• Experience working in a cloud hosted environment (Azure, AWS, etc). This includes setting up testing environments, and advising customer on their setups.

• Experience with containerization technologies (Kubernetes is preferred, but Docker is okay).

• Experience in writing scripts.

• Demonstrated experience working with customers and organizations

• Fluent written and spoken English is mandatory, fluency in any other language is a plus

• English: Advanced 80% - 90%