DevOps Engineer в Corezoid, Дніпро, віддалено

Corezoid

  • Днепр
  • Постоянная работа
  • Полная занятость
  • 2 д. назад
Corezoid is more than process automation-it's a transition from traditional fragmented project and process management to an integrated, continuously evolving digital twin.
/ /1 вересня 2025DevOps EngineerДніпро, віддаленоTech Stack:- Cloud & IaC: AWS (primary), Terraform;
- Containers & Orchestration: Kubernetes (on-prem and cloud) • EKS • Docker • Helm;
- GitOps & CI/CD: Argo CD • Jenkins • GitLab CI;
- Observability: Prometheus • Grafana • ELK (Elasticsearch, Logstash, Kibana);
- Databases & Queues: PostgreSQL • Redis • MongoDB • RabbitMQ.Requirements:
- Proficiency in leveraging AI-powered tools to automate and accelerate DevOps workflows.
- 3 + years of hands-on DevOps experience in production environments.
- Extensive experience with AWS (GCP or Azure is a plus).
- Strong expertise in Terraform and Kubernetes (both on-premises and in the cloud).
- Solid experience with Helm and Docker.
- CI/CD pipeline design and maintenance using Jenkins and/or GitLab CI; excellent Git skills.
- 5 + years working with Linux systems.
- Proven track record building highly available, scalable, and reliable infrastructure.
- Good understanding of networking fundamentals.
- Proficiency in scripting (Bash, Python, or Go).
- Experience administering PostgreSQL, MongoDB, and Redis.
- Hands-on with monitoring/alerting stacks such as Prometheus, Grafana, Zabbix, or CloudWatch.
- Configuration-management expertise with Ansible.
- Self-sufficient, highly hands-on engineer and an excellent team player with strong communication skills.
- Comfortable working in a fully remote, distributed team.Responsibilities:
- Support and maintain several existing projects and their infrastructure.
- Drive DevOps activities for new projects from inception to production.
- Investigate and resolve infrastructure-related issues and incidents.
- Design and provision infrastructure using Terraform (EKS/Kubernetes, Docker Compose, AKS, etc.).
- Containerize applications and prepare robust CI/CD pipelines for automated deployment.
- Troubleshoot performance, reliability, and security issues across the stack.
- Migrate legacy infrastructure to Terraform-based infrastructure-as-code.
- Continuously improve automation, observability, and reliability-leveraging AI tools wherever they add value.

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