Junior DevOps Engineer
SnappyTel AvivГибридот 1 годаПолная занятость
PythonCI/CDKubernetesAWSGrafanaTerraformPrometheusBashGCPJenkinsArgo CD
Описание
Snappy is looking for a Junior DevOps Engineer to join their infrastructure team, focusing on automation, observability, and security with a modern, cloud-native stack across AWS and GCP. The role involves learning from experienced engineers and taking on production responsibility, including using AI tools to streamline operations.
Responsibilities
- Support and maintain AWS/GCP infrastructure (networking, IAM, multi-account setups) under the guidance of senior engineers
- Write and update Terraform code, GitOps flows and CI/CD pipelines (Jenkins, ArgoCD)
- Help deploy and operate Kubernetes clusters and serverless applications
- Build and maintain dashboards and alerts using Prometheus and Grafana, and explore AI-assisted insights
- Apply security best practices and help with compliance automation
- Use AI tools to speed up development, spot anomalies and assist with incident response
- Take part in on-call and incident handling, first as a shadow and then gradually on your own
- Document processes and runbooks
Requirements
- 1–2 years in a DevOps, SRE, cloud or system administration role; strong relevant projects, a military technology unit background or internships also count
- Hands-on experience with AWS, Kubernetes, Terraform and CI/CD pipelines, at the level of working on them rather than designing them end to end
- A basic understanding of AWS core services (EC2, S3, IAM, VPC) and familiarity with AWS Lambda and serverless concepts
- Curiosity about AI automation in DevOps, and an interest in using it in your daily work
- A strong desire to learn, take ownership and work well in a team
Nice to have
- Python/Bash scripting skills (Go is a plus)
- Exposure to cloud cost optimization or FinOps
- Interest in internal developer platforms or platform engineering
- Cloud certifications (e.g. AWS Cloud Practitioner or Associate level)
We offer
- Employment Type: Full time
- Location Type: Hybrid