What will you do?

Build, deploy and support complex AWS Serverless SaaS using innovative automation tools and cutting-edge technologies.

You will help improving and operating a CI/CD delivery model, security, monitoring and following a DevOps engineering approach.
You will work as part of the R&D group – highly energized and professional engineers.

You need to have the ability and skills for a constant eye on areas such as automation, scale, process improvement, metric collection, security, and better visibility into production health and reliability.

Key Responsibilities

  1. Setup and configuration of AWS environments (dev, testing and production).
  2. Implement and manage continuous delivery systems and methodologies on AWS (CI/CD).
  3. Plan and manage upgrades and deployment pipelines.
  4. Perform advanced debug and troubleshooting of complexproblems and recurring platform issues, including performance issues.
  5. Research and implement tools and frameworks for monitoring, logging, and debugging.
  6. Implement and automate security controls, governance processes, and compliance validation.
  7. Design, implement and maintain tools to automate operational processes.
  8. Cost controls and monitoring.
  9. Working closely with development and QA engineers on all AWS aspects.


  1. 3+ years of devops experience, including with a SaaS product support and delivery.
  2. 3+ years of hands-on experience with CI/CD solutions and source control management tools (e.g. Jenkins, Git, Ansible, etc.).
  3. Automation scripting experience with Bash and Python.
  4. 3+ years hands-on experience with AWS and the following services:
    Lambda, Step functions, API gateway, IAM, DynamoDB, CloudTrail, CloudWatch, SAM, S3, RDS, SQS, Cloudformation, VPCs.
  5. 1+ years of hands-on experience in deploying and running AWS serverless applications, preferably Lambda based.
  6. Experience with Infrastructure As a Code (IaaC), Terraform and/or cloud formation.
  7. Experience with centralized log management solution such as ELK, Splunk, logz.io.
  8. An AWS certification is a big advantage (associate level and above).

Knowledge in the following areas – an advantage:

  1. System monitoring platforms (e.g. Datadog, Epsagon, New Relic, Nagios).
  2. Information security orientation (e.g. encryption, authentication protocols) and SDLC.
  3. Additional AWS services:  CDK, Cognito, SNS, EC2, Secret Manager, KMS, Fargate, Route 53, ELBs, AWS WAF, AWS security services.
  4. Familiarity with well-architected SaaS design.
  5. AWS Costs and administration.
  6. Good understanding of high availability, scalability, fault tolerance, redundancy, and load balancing.
  7. Operational knowledge of VMware Vcenter and ESXI.
  8. Experience working with container-based architectures: Docker, K8s.
  9. Azure
  10. MS Graph API

Personal skills

  1. Highly motivated and autonomous, execution-orientated, and a team player.
  2. Proactive by nature, internal drive for excellence and improvement.
  3. Excellent communication skills and an ability to work in a fast-paced, team environment.
  4. High degree of organization and attention to details.
  5. Able to plan, conduct, prioritize, track and measure processes.

To apply, please send your CV to: