We are looking for a skilled DevOps Engineer to manage cloud infrastructure, automate deployments, and ensure the reliability, scalability, and performance of production systems. The ideal candidate will have hands‑on experience with CI/CD pipelines, cloud platforms, containerization, infrastructure automation, and monitoring.
Who You Are:
- You have 2+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering.
- You have strong Linux and networking fundamentals, including DNS, TLS, load balancers, and firewalls.
- You have hands‑on experience with AWS services such as EC2, VPC, IAM, RDS, and S3.
- You are comfortable working with Docker and CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or Bitbucket Pipelines.
- You have experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- You can write scripts using Bash or Python to automate repetitive tasks.
- You have strong troubleshooting skills and understand production support and incident management.
What Will Excite Us:
- Experience with Kubernetes or AWS ECS for container orchestration.
- Knowledge of Terraform or similar Infrastructure as Code (IaC) tools.
- Experience with PostgreSQL backups, restores, and performance tuning.
- Exposure to SIP/VoIP, telephony infrastructure, or other real‑time systems.
- Familiarity with Nx, monorepo CI/CD, or Angular application deployment workflows.
- Experience with n8n or other workflow automation tools.
- A proactive approach to improving system reliability, security, and deployment efficiency.
What Will Excite You:
- The opportunity to work on modern cloud infrastructure and production systems.
- Building and optimizing CI/CD pipelines to streamline software delivery.
- Automating infrastructure and deployments to improve scalability and reliability.
- Working closely with development teams to solve real‑world technical challenges.
- Taking ownership of monitoring, incident response, and continuous improvement initiatives.
- Exploring technologies related to cloud engineering, containerization, and workflow automation.