Position: Senior DevOps Engineer (Poland)
Company: Interlogic
Category: DevOps
Experience required: 3y
English level: intermediate

How we work:

In small agile cross-functional teams with dedicated Product Owner
Devops work in close collaboration with programmers, data and machine learning engineers
All team members have several trips to Copenhagen per year
We use:

.NET and Cloud (Azure)
Microservices architecture
Kubernetes
Big data management and ML tools such as Azure Data Factory, Databricks, Azure Synapse Analytics (formerly known as Azure Data Warehouse), etc
Automation tools such as Terraform, ARM, Powershell, Azure Devops, etc
We strive:

to deliver a highly secure, efficient and scalable data platform as part of our suite for retailers that is aimed at increasing online presence and client loyalty

KEY RESPONSIBILITIES, CHALLENGES AND OPPORTUNITIES
Management of data platform infrastructure: operational maintenance, automation, optimization(costs, use convenience), scaling, security
Migration of ETL pipelines into Spark data processor on Kubernetes
Finding and learning the best techniques for building, distributing and managing portable .Net API applications using infrastructure-as-a-code, CI/CD pipelines
Contribution to an ongoing pursuit of operational excellence on organizational level

QUALIFICATION AND TRAITS
Solid knowledge of Azure ecosystem
Solid knowledge and hands on experience with cloud Kubernetes offers (CKA or CKAD certification is a plus)
Programming skills sufficient to confidently maintain and develop custom tooling for work with Azure and other APIs (Powershell, Python)
Hands on experience with infrastructure-as-a-code tools: Terraform, Azure ARM
Hands on experience or solid theoretical knowledge of Azure Devops pipelines
Experience or solid understanding of SQL management systems ( ideally AzureSQL, Azure Synapse Analytics)
Knowledge on how Containers, Docker, Kubernetes works
Hands-on experience with Powershell
Experience with or solid theoretical knowledge of security and compliance practices in big data environment
Good communication skills for collaboration with developers, data engineers and managers
Product oriented attitude
Good written and spoken English level
WOULD BE A PLUS
Basic understanding of ML to help with MLOps
Experience with Azure Data Factory, Databricks, Azure Synapse analytics

WE OFFER YOU
Long-term employment
20 days of paid vacation
90 days of fully paid sick leaves
Office in the city center with park area around
No bureaucracy
Free accounting services
Free English courses