DevOps Platform Engineer

We are looking for an experienced DevOps Platform Engineer to join our Application Infrastructure team.

In this role you will design build and operate scalable platforms and infrastructure that enable engineering teams to develop deploy and run services efficiently securely and reliably.

You will work in a complex large-scale production environment using AWS Kubernetes Infrastructure as Code automation observability and AI-driven technologies.

What youll do:

• Design build and maintain application infrastructure and platforms used by engineering teams.
• Develop scalable reliable and secure infrastructure on AWS.
• Build and improve CI/CD pipelines deployment processes and infrastructure automation.
• Manage and operate Kubernetes-based production environments.
• Develop self-service tools and platform capabilities that improve developer productivity and experience.
• Improve system reliability availability performance and scalability.
• Define and implement best practices for infrastructure deployments observability and security.
• Lead troubleshooting incident investigation and root cause analysis for complex production issues.
• Collaborate with R&D Security Architecture Data and Cloud teams.
• Evaluate and implement AI-based tools for infrastructure automation operational efficiency incident analysis and developer workflows.
• Develop or integrate AI agents LLM-based tools and AIOps capabilities into platform engineering processes.

What you have:

• 3-5 years of hands-on experience in DevOps Platform Engineering or Infrastructure Engineering roles.
• Strong hands-on experience working with AWS in production environments.
• Proven experience with AWS services such as EKS EC2 IAM VPC Route 53 S3 RDS Lambda CloudWatch or similar services.
• Strong experience with Kubernetes and containerized environments.
• Hands-on experience with Infrastructure as Code tools preferably Terraform.
• Experience building and maintaining CI/CD pipelines using GitHub Actions GitLab CI Argo CD or similar technologies.
• Experience writing automation or production-grade code using Python Go Bash or a similar language.
• Strong understanding of Linux networking DNS load balancing and distributed systems.
• Experience with monitoring logging tracing and observability platforms.
• Strong troubleshooting skills and the ability to investigate complex production issues.
• Ability to work independently take ownership and drive projects from design through production.
• Strong English communication skills and the ability to collaborate across multiple engineering teams.

AI Experience you have:

• Hands-on experience using AI and Generative AI tools as part of software development infrastructure or operational workflows.
• Experience working with LLM APIs AI coding assistants or AI automation tools.
• Ability to identify processes that can be improved through AI and translate them into practical engineering solutions.
• Understanding of prompt engineering responsible AI usage and the secure handling of sensitive information.
• Experience with CAG AI agents RAG MCP LLM integrations or AIOps solutions is an advantage.

Bonus points:

• Experience working with data platforms data infrastructure or large-scale data processing systems.
• Understanding of data pipelines data ingestion streaming systems or distributed data architectures.
• Experience operating large-scale multi-region or multi-account AWS environments.
• Experience with GitOps tools such as Argo CD or Akuity.
• Experience with service mesh API gateways or service discovery solutions.
• Experience with Datadog Prometheus Grafana OpenTelemetry or similar observability tools.
• Experience with cloud security secrets management and Vault

As a global company operating from 25 offices across 19 countries we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race gender culture or sexual orientation. We value and encourage curiosity diversity and innovation from all our employees customers and partners.

As a Customer Obsessed company we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go Kaniel CEO