2 дня назад
Senior DevOps Engineer (Big Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevOps Engineer (Big Data/AWS): Building and evolving cloud and on-premises infrastructure for Big Data and AI products with an accent on CI/CD, Kubernetes, Infrastructure as Code, and observability. Focus on designing scalable deployment pipelines, automating operations, and troubleshooting production environments across AWS and on-premises systems.
Location: All; fully remote, with the possibility to visit the office.
Company
develops technology solutions and supports Big Data products for Ukraine's leading telecom operator.
What you will do
- Build and evolve the infrastructure behind Big Data and AI products across cloud and on-premises environments.
- Design and implement CI/CD pipelines tailored to Big Data solutions.
- Manage and maintain AWS and on-premises infrastructure throughout its lifecycle.
- Monitor systems, improve observability, troubleshoot incidents, and support staging and production environments.
- Automate software deployment, monitoring, and routine operational tasks.
- Manage release cycles and assist customers with operational issues.
Requirements
- 3+ years of experience as a DevOps Engineer.
- Practical experience with AWS or other cloud providers.
- Hands-on experience with Docker, Kubernetes, Infrastructure as Code, and Terraform.
- Experience building CI/CD pipelines, preferably with GitLab.
- Strong understanding of Unix/Linux operating systems, networking fundamentals, and Bash or Python scripting.
- Experience with relational and non-relational databases, monitoring, and alerting tools such as Prometheus and Grafana.
Nice to have
- Experience with AI agents or AI-driven tooling.
- Experience working with remote or distributed teams.
Culture & Benefits
- Remote work with flexible working hours and optional office visits.
- Competitive salary and annual bonus.
- Paid vacation and sick leave.
- Medical and life insurance.
- Professional development and career growth opportunities.
- Collaboration with experienced business, data, and technology professionals in an innovation-driven environment.
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