обновлено 28 дней назад
Senior DevOps Engineer (Azure)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior DevOps Engineer (Azure) (AI/Fintech): Designing and automating Azure environments, CI/CD pipelines, and infrastructure-as-code for mission-critical AI and fintech platforms with an accent on security, observability, and resilient cloud operations. Focus on managing AKS workloads, translating solution designs into automated environments, and meeting performance and compliance requirements for financial services clients.
Location: Greece; remote workplace
Company
Quento Technologies S.A. is the ICT arm of , delivering AI, digital engineering, cloud, and cybersecurity solutions for businesses and financial services clients.
What you will do
- Design, build, and maintain CI/CD pipelines for AI and fintech applications running on Microsoft Azure.
- Own infrastructure-as-code across development, staging, and production environments using Terraform, ARM, and Bicep.
- Implement monitoring, logging, and alerting to maintain reliable and secure client-facing platforms.
- Manage Docker and Kubernetes/AKS workloads supporting AI model deployment and data pipelines.
- Work with client technical teams, solution architects, and data engineers to deliver resilient, secure, and compliant environments.
- Contribute to DevOps standards, tooling, and best practices across multiple projects.
Requirements
- University degree in IT or a related field.
- At least 5 years of hands-on DevOps experience with strong Microsoft Azure expertise, including AKS, Azure DevOps, App Services, Azure Functions, networking, and Key Vault.
- Experience building CI/CD pipelines with Azure DevOps, GitHub Actions, or similar tools.
- Infrastructure-as-code and scripting experience with Terraform, ARM, Bicep, PowerShell, Python, or Bash.
- Experience with Docker, Kubernetes, monitoring, and observability tools such as Azure Monitor, Grafana, or Prometheus.
- Fluent English required; Greek is an advantage. Client-facing communication, security, compliance, ownership, and the ability to manage multiple priorities are expected.
Nice to have
- Exposure to AI/ML or data platforms, including Databricks, ML pipelines, or data lakes.
- Azure certification such as AZ-400 or AZ-104.
Culture & Benefits
- Flexible working model with home equipment benefits.
- Competitive compensation, restaurant card, and annual bonus programs.
- Private health insurance, occupational doctor, and workplace counselor.
- IT equipment, mobile and data plan, and access to modern facilities.
- Mentoring, coaching, and personalized annual learning and development plans.
- Wellbeing, ESG, volunteering, employee referral, gym, and wellness activities.
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