DevOps Engineer

We are looking for a DevOps Engineer specializing in AWS to work with multiple customers across a variety of projects and industries.

The role includes building AWS environments from the ground up, implementing infrastructure and CI/CD processes, and working closely with customers' development and infrastructure teams.

You’ll gain wide and diverse experience in a dynamic environment, different technologies and architectures, while using AI tools in your daily work and taking part in projects involving AI solutions.

Responsibilities

AWS & Cloud Infrastructure

Build Greenfield AWS environments, including Organizations, Multi-Account structures, Landing Zones / Control Tower, and SCPs.
Design and implement AWS infrastructure, including VPC, Subnets, Routing, Transit Gateway, VPN, Security Groups, Route 53, Load Balancers, KMS, and IAM.
Apply AWS Well-Architected Framework best practices across security, availability, performance, and cost.
Develop and maintain Infrastructure as Code using Terraform / CloudFormation.
DevOps & Customer Collaboration

Build and improve CI/CD processes using tools such as GitHub Actions, Bitbucket, and GitLab.
Implement and manage Observability and monitoring solutions, including CloudWatch, Prometheus, Grafana, and ELK.
Support multiple DEV, STG, and PROD environments across several customers.
Work directly with customers' Development, QA, and Security teams to understand requirements and provide solutions.
Use AI tools such as Claude Code and Kiro for coding, IaC, automation, and troubleshooting.
Participate in building infrastructure for AI projects, including Amazon Bedrock and SageMaker.
דרישות התפקיד
Requirements

2–3 years of experience as a DevOps Engineer, with hands-on AWS experience
Practical experience building AWS environments and Networking.
Experience with AWS Organizations, Multi-Account environments, and IAM.
Hands-on experience with Infrastructure as Code (Terraform / CloudFormation).
Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab, or similar.
Experience with Docker and familiarity with Kubernetes.
Experience working with Linux and scripting using Bash / Python.
Regular use of AI tools in day-to-day work.
Ability to work on multiple projects and customers simultaneously, with strong prioritization and context-switching skills.
Strong service orientation, interpersonal skills, and customer-facing abilities.
Ability to work independently and as part of a team, with a strong self-learning mindset.
Nice to Have

Experience in a project-based company, consulting firm, or MSP.
AWS certifications, such as Solutions Architect – Associate, SysOps Administrator, or Advanced Networking.
Experience with AWS Control Tower / Landing Zone.
Experience with EKS, Helm, and Argo CD / Flux CD.
Knowledge of Cloud Security, including SCPs, WAF, GuardDuty, and Security Hub.
Experience building infrastructure for Agentic AI solutions, including platforms and SDLC processes.
Familiarity with FinOps and AWS cost optimization.
Good English, including working with international customers.
Familiarity with Agile / Scrum methodologies.