Requirements

Expected technologies

Azure Pipelines

Bitbucket Pipelines

GitHub Actions

GitLab Pipelines

Jenkins

TeamCity

Travis CI

Azure Resource Manager

Terraform

Python

SQL

Docker

Kubernetes

Apache Spark

PySpark

Scala

Spark SQL

PowerShell

Bash

Our requirements

• Understanding of DevOps practices, particularly in the automation of: Code delivery to environments (build, deployment), Code quality verification (static code analysis, unit/integration/regression testing), Environment monitoring
• Hands-on experience with CI/CD and Infrastructure as Code (IaC), including building and maintaining pipelines (e.g., Azure Pipelines, Bitbucket Pipelines, GitHub Actions, GitLab Pipelines, Jenkins, TeamCity, Travis CI) and IaC tools (Azure Resource Manager, Terraform)
• Proficiency in programming languages, especially Python and SQL
• 1+ experience with containerization and orchestration technologies (Docker, Kubernetes)
• Practical knowledge of Apache Spark and related technologies (e.g., PySpark, Scala, Spark SQL)
• Familiarity with tools supporting data flow management, such as Delta Lake, MLflow, and integration with data warehouses (e.g., Azure Synapse Analytics)
• Ability to design and implement analytics solutions using Azure Databricks
• Scripting skills and working knowledge of at least one scripting language (e.g., PowerShell, Bash)
• Basic knowledge of Windows/Linux system administration
• Strong sense of ownership, self-reliance, and responsibility in task execution
• Practical command of English at a minimum B2 level (C1+ preferred)

Optional

• Familiarity with Azure App Services or AWS Elastic Beanstalk is a plus

Your responsibilities

• Designing and implementing automated CI/CD pipelines (build, deploy, test)
• Implementing Infrastructure as Code (Azure Resource Manager, Terraform) and provisioning environments from scratch
• Deploying and managing applications in Microsoft Service Fabric
• Implementing Azure Databricks deployments, including ETL flow orchestration and Big Data solutions
• Automating development processes and monitoring environment stability
• Providing technical consultation to clients, analyzing requirements, and supporting business teams
• Administering Windows/Linux systems and maintaining development tooling support