Requirements:
Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here.
Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns.
Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit.
Software engineering background, or proven strong development ability in Go and/or Python - you write production code, not just glue scripts.
Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after.
Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship.

Requirements:
Education
* Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related field. Experience
* Strong hands-on experience with Microsoft Azure (5+ years).
* At least 5 years of experience as a DevOps / Platform Engineer.
* Strong experience with Kubernetes (AKS preferred).
* Hands-on experience with Docker and containerized environments.
* Experience with Infrastructure as Code (Terraform preferred).
* Experience with GitHub Actions and CI/CD pipelines.
* Experience with GitOps methodologies and Argo CD.
* Experience with Python scripting and automation.
* Experience supporting production environments.
* Strong understanding of networking technologies including DNS, TLS, Load Balancers and Ingress Controllers.
* Experience with monitoring and observability platforms such as Datadog, Grafana, Prometheus, Elastic or similar.
* Experience with PostgreSQL and/or SQL Server. Advantages
* Experience working in SaaS environments.
* Experience with Azure App Configuration and Azure Key Vault.
* Experience with Cloudflare.
* Experience with RabbitMQ, Redis and Elasticsearch.
* Experience implementing Kubernetes Network Policies.
* Experience developing internal automation platforms and developer self-service tools. Language Skills
* Fluent English (written and spoken).
* Hebrew professional proficiency. Personality
* Strong problem-solving and analytical skills.
* Independent, proactive and hands-on approach.
* Excellent communication and collaboration skills.
* Ability to work in a dynamic, fast-paced environment.
* Team player with a continuous improvement mindset.

Requirements:
Education
Bachelor's degree in Computer Science, Software Engineering, Information Systems or a related field.
Experience
Strong hands-on experience with Microsoft Azure (5+ years).
At least 5 years of experience as a DevOps / Platform Engineer.
Strong experience with Kubernetes (AKS preferred).
Hands-on experience with Docker and containerized environments.
Experience with Infrastructure as Code (Terraform preferred).
Experience with GitHub Actions and CI/CD pipelines.
Experience with GitOps methodologies and Argo CD.
Experience with Python scripting and automation.
Experience supporting production environments.
Strong understanding of networking technologies including DNS, TLS, Load Balancers and Ingress Controllers.
Experience with monitoring and observability platforms such as Datadog, Grafana, Prometheus, Elastic or similar.
Experience with PostgreSQL and/or SQL Server.
Advantages
Experience working in SaaS environments.
Experience with Azure App Configuration and Azure Key Vault.
Experience with Cloudflare.
Experience with RabbitMQ, Redis and Elasticsearch.
Experience implementing Kubernetes Network Policies.
Experience developing internal automation platforms and developer self-service tools.
Language Skills
Fluent English (written and spoken).
Hebrew professional proficiency.
Personality
Strong problem-solving and analytical skills.
Independent, proactive and hands-on approach.
Excellent communication and collaboration skills.
Ability to work in a dynamic, fast-paced environment.
Team player with a continuous improvement mindset.

Requirements:
7+ years of professional software engineering experience.
Strong TypeScript - the primary language across our backend, frontend, and agent code.
Proficiency in modern UI frameworks like React, Angular, or Vue, combined with a strong understanding of JavaScript.
A minimum of 3 years of production experience in backend development using Node.js.
Production experience with LLM-based applications, including prompt engineering, agent/tool-calling design, and RAG.
Hands-on experience with an agent framework (e.g., LangGraph, LangChain).
Vector databases and semantic search with embedding-based retrieval.
Cloud experience on AWS - compute, storage, IAM, and managed LLM services (e.g., Bedrock or equivalent).
Solid web fundamentals - REST APIs, WebSockets, auth (token/OIDC), and modern React.
Docker and standard CI/CD practices.

Requirements:
A proactive team player adept at navigating high-pressure environments to deliver outstanding results.
Over 5 years of experience in DevOps, with extensive knowledge of managing infrastructure in large-scale environments.
Proficiency with all major cloud providers, such as AWS, Azure, and Google Cloud Platform.
Expertise in containerization and orchestration technologies, including Docker and Kubernetes.
A strong understanding of financial operations in cloud environments (FinOps) and experience with cost optimization strategies.
A passion for building scalable applications and systems that can handle the demands of rapid business growth.
Advantages:
Experience with infrastructure as code (IaC) tools such as Terraform or Ansible.
Familiarity with security practices and compliance in cloud environments.
Practical experience with Python.
Experience with databases and search engines such as PostgreSQL, MongoDB, or Elasticsearch.