DevOps Platform Engineer (mid/senior)

Why this role matters

On the Platform Engineering Tooling Team you will build internal tool sets which benefit our employees in their daily routines reducing toil and streamline the process of modernizing internal applications. The primary focus is delivering and maintaining MLA stacks built to support a myriad of platforms.  You’ll be involved in every aspect of engineering from software development quality assurance delivery and operationalization.

All this will be done working on a scrum team with a mixture of experienced developers and engineers.  The team will listen to organizational challenges outline proposals and work to deliver the requirements.  This requires an outgoing personality a sense of ownership and being able to work with others to create the best possible product.

This is a fully remote position from anywhere in Poland.

What you will do:

In this position you’ll actively seek out ways to contribute and bring new ideas to the group.  You will have the opportunity to extensively utilize open source projects/software often focusing on developing the 'glue' that integrates systems and enhancing their feature sets.  Bringing a sense of vision and contributing to the requirements is expected and encouraged.

What you will bring:

• Strong experience in software development and/or scripting in multiple languages (ex. Java Python Elixir Ruby & JavaScript).

• Linux skills around administration and troubleshooting.

• A background in Cloud Computing environments preferably AWS (EC2/Lamba/ECS/EKS/RDS).

• Experience with Opensource Products like Kubernetes Helm Argo Terraform Grafana OpenSearch and Kibana.

• Experience in Agile software development methodology: Scrum Kanban etc.

• Enjoyment in picking up new skills and technologies on a frequent basis.

• Ability to troubleshoot all layers of the stack .

• History of troubleshooting production systems in high pressure situations.

• An engaging personality that enjoys working with all types of people.

Technologies we often use:

• Numerous datastores from both SQL and NoSQL technologies.

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