Senior DevOps Engineer

1 Week ago • 4 Years + • DevOps

Job Summary

Job Description

Senior DevOps Engineer needed with 4+ years of experience in infrastructure solutions design, implementation, and support. Expertise in Azure, Terraform, and solution architecture is crucial. The role involves designing and implementing scalable infrastructure solutions, consulting on DevOps processes, and driving best practices in cloud environments. This project focuses on pricing assets using machine learning models, encompassing ELT processes, data modeling in SQL (MSSQL on Azure), model training and prediction, and Power BI integration. Strong scripting (Bash, Python, PowerShell), CI/CD, monitoring, logging, and collaboration skills are essential.
Must have:
  • 4+ years DevOps/Cloud Engineering experience
  • Strong Azure & infrastructure management skills
  • Terraform expertise (IaC)
  • Azure & Terraform production project experience
  • Solution architecture guidance
  • DevOps best practices implementation
  • CI/CD, monitoring, logging experience
  • Scripting skills (Bash, Python, PowerShell)
  • Experience with managed services
  • Cross-functional team collaboration
  • Excellent problem-solving skills
Good to have:
  • Familiarity with Astronomer (managed Airflow)
  • Cloud security, compliance, and governance experience
  • AI/ML workload and optimization understanding
  • Independent work and team leadership
  • AZ-204, AZ-700, AI-900 certifications
Perks:
  • Flexible working format (remote, office, flexible)
  • Competitive salary and compensation package
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events and team buildings

Job Details

We are seeking an experienced and innovative Senior DevOps Engineer with expertise in Azure, Terraform, and solution architecture to join our client’s team. The ideal candidate will have at least 4 years of commercial experience in infrastructure solutions design, implementation and support. The ideal candidate will have at least one production project experience and a strong ability to design and implement infrastructure solutions. This role requires someone who can consult on DevOps processes, design scalable architectures, and drive best practices in cloud environments.

This project involves pricing assets under the company's management. It utilizes machine-learning models that operate on data ingested from third-party APIs. The process includes ELT (extract, load, transform), data modeling in SQL, training ML models, running predictions, and storing predictions back in a SQL database (MSSQL on Azure). Users interact with the data using Power BI.

Must Have

  • 4+ years of experience in DevOps or Cloud Engineering.
  • Strong hands-on experience with Azure services and infrastructure management.
  • Expertise in Terraform for infrastructure as code (IaC), including designing modular and reusable solutions.
  • Experience working on at least one production project with Azure and Terraform.
  • Ability to provide solution architecture guidance, not just execution.
  • Strong consulting skills, with the ability to define and implement DevOps best practices.
  • Experience with CI/CD pipelines, monitoring, and logging solutions.
  • Strong scripting skills (e.g., Bash, Python, or PowerShell).
  • Experience working with managed services.
  • Collaborate with cross-functional teams, including data engineering
  • Excellent problem-solving skills and analytical thinking.
  • Fluent communication

Nice to Have

  • Familiarity with Astronomer (managed Airflow service) is a plus.
  • Experience with security, compliance, and governance in cloud environments.
  • Understanding of AI/ML workloads and optimization strategies.
  • Ability to work independently and lead DevOps initiatives within a team.

Nice to have Certifications (any of the mentioned below)

  • AZ-204 Microsoft Certified: Azure Developer Associate, MS Azure
  • AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
  • AI-900: Microsoft Azure AI Fundamentals, MS Azure

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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