Cloud (AWS / Azure / GCP) (regular)
We are looking for people who are able to solve unfamiliar problems and fast adapting to changes in technology and procedures.
We give autonomy to work unsupervised with good results. At the same time, we expect to actively look for problems and bring possible solutions.
If you fulfil 1-2 requirements listed below and have some understanding of others that should be more than enough.
Azure Kubernetes Platform
We are part of the Azure enablement programme. We help application teams (Software Engineers) minimize the distance between onboarding and fully operational infrastructure.
As part of our day to day work, we build reusable infrastructure components in Terraform which are open for contribution.
Also, we’re building an internal platform for developers to centralize the technology and lower entry barriers to the cloud.
You can think about us as Enabling Team overcoming obstacles and helping organizations with cloud native technologies and modern ways of working.
Azure, Kubernetes, Terraform, Go, GitHub Actions, Azure DevOps, GitOps
When building a centralized internal platform for developers the problem space is massive. In order to build truly scalable solutions we need to put a lot of effort into solid design and a good level of automation.
This creates a room for really interesting problems to solve ranging from developing Kubernetes operators, operating complex distributed systems in production and building developer’s community around that.
We are a team of self-organizing and multidisciplinary engineers who are passionate about the cloud native technology landscape.
We are distributed among different localisations, so we follow remote ways of working. We value autonomy and high-level of automation.
Cloud & Data Engineering
We see a lot of demand when it comes to cloud and data areas. We are building a dedicated team of engineers who are willing to develop skills in these fields.
We are building complex systems ranging from computer vision to hurricane prediction.
AWS (IAM, Glue, Athena, EMR, Lake Formation, DynamoDB), Azure (Data Warehouse, Data Lake, Data Factory, Hadoop, HDInsights, CosmosDB, Databricks) Kubernetes, Terraform, Python
We cover a wide spectrum of cloud & data technologies. The biggest challenge is to develop multidisciplinary skills within the team.
The cloud and data landscapes are overlapping, so day to day work might require some level of understanding of individual areas, while developing the core skills for example in cloud engineering.
The team consists of experienced engineers from various technical backgrounds, both data and cloud. We are aiming to build a team of five.
What we expect in general
We do not expect you to qualify for all of the above points. A good understanding of some of these areas and a willingness to develop expertise in others may actually be sufficient.
We are not concerned with your education or any other formalism. What we are concerned with are your passion, knowledge and experience.
What’s on offer?