DS STREAM logo

DevOps Engineer (Azure)

DS STREAM·Salary not specified

Primary stack

TerraformAzureCI/CD

Nice to have's

CommunicationAgile

Job description

About the Position

Join our team as a DevOps Engineer (Azure) to manage cloud infrastructure, optimize pipelines, and enhance platform performance.

Responsibilities

  • Building and maintaining cloud infrastructure using Terraform, emphasizing provider selection, backend design, and version compatibility
  • Managing stateful and stateless resources, with a focus on Azure
  • Utilizing advanced Terraform techniques, including import, state manipulation, and modularization
  • Implementing and optimizing Azure cloud services (Azure Machine Learning, Azure Databricks, Storage Accounts, Azure PostgreSQL, Key Vaults)
  • Designing effective network topologies and managing inter-service networking across resource groups and VNETs
  • Applying knowledge of RBAC, Managed Identity, and secret management patterns in complex enterprise environments
  • Working across CI/CD pipelines (e.g., GitHub Actions), ensuring seamless integration and deployment
  • Diagnosing issues and optimizing platform performance; confidently tackling underlying infrastructure challenges
  • Creating thorough documentation and taking end-to-end process ownership

Requirements

  • Proven experience with infrastructure as code, especially Terraform in Azure environments
  • Knowledge of resource state management, modular architecture, and code versioning best practices
  • Deep expertise with Azure cloud services and related platform components
  • Strong understanding of networks, service connectivity, and cloud security standards
  • Hands-on experience building, optimizing, and troubleshooting CI/CD pipelines
  • Excellent documentation, communication, and knowledge-transfer skills
  • High sense of initiative and ownership, combining independent work with effective team collaboration
  • Agile mindset with readiness to adapt to evolving cloud and AI strategies
  • Fluent English, both spoken and written

We Offer

  • 100% remote work with the option to use our Warsaw office
  • Flexible working hours
  • Company events and networking opportunities
  • Money return for passed certifications
  • Access to exclusive Microsoft Azure and Google Cloud Platform training packages for partners
  • Opportunity to leverage our in-house incubator for developing your own ventures
  • Supportive community with 50+ consultants, each bringing 10+ years’ experience in Data Warehouse and Big Data -...and much more!

About the Company

CAREERS

DevOps Engineer (Azure)

DevOps Engineer (Azure)

Mid-Level

Can’t find your ideal role?

No worries! You’re welcome to send us your resume, and we’ll reach out if a suitable position comes up. We believe we’ll find the right spot for you that matches your skills and aspirations.

CONTACT US

© DS STREAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

DS STREAM logo
DS STREAM

FMCG,Retail,E-commerce,Healthcare,Telco,Finance,Logistics

About the Company DS Stream is a fast-growing AI & Data consulting company focused on analytics and data management for global brands. The company employs a team of over 200 senior experts who specialize in Data Science, Machine Learning, and MLOps. Their mission is to transform know-how into effective architectures for their clients. Products, Services & Tech Stack Core Solutions Data Engineering: Transforming disparate data into valuable insights for informed business decisions. AI Engineering: Providing modern AI technologies and custom AI tools to support AI-driven business decisions. MLOps: Integrating ML technologies with DevOps practices to automate Machine Learning workflows and improve efficiency. Technologies & Frameworks Specific platforms, languages, or tools are not mentioned in the provided text. Project Scope & Target Clients Client Base Industries Served: FMCG, retail, e-commerce, healthcare, telco, finance, logistics, and more. Engineering Scale The company delivers tailored and complex data analytics for global corporations. Projects include real-time intelligence for the longevity ecosystem, category management for FMCG, and sales automation for resort packages.

Popular searches