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Backend and DevOps Engineer

BlackEdge·Tel Aviv, Israel·en
PresencialTiempo completoDevOps & SREFinancial Services

Join a financial services company’s technology team to build and operate production AI systems. The role combines Python backend development and cloud infrastructure, with responsibilities spanning the system lifecycle. This is a full-time, office-based position in Tel Aviv.

Responsabilidades

  • Build and maintain cloud infrastructure with Terraform, including environments, networking, storage, and access management.
  • Develop and maintain CI/CD pipelines for automated testing, Docker builds, deployments, and rollbacks.
  • Implement monitoring, logging, and alerting; troubleshoot production issues and improve reliability, performance, and cost efficiency.
  • Manage secrets, identities, permissions, and secure communication between services.
  • Develop Python backend services with FastAPI, including REST APIs, asynchronous workflows, queues, and background jobs.
  • Integrate language models using tool calling, structured outputs, streaming, and conversation-context management.
  • Build document-processing, knowledge-retrieval, and RAG workflows connected to enterprise information.
  • Develop integrations with internal enterprise systems and external services.
  • Write automated tests and evaluate AI workflows for quality, reliability, latency, and token usage.

Requisitos

  • At least three years of hands-on experience developing Python backend services and operating them in production.
  • Practical experience with at least one major cloud provider: Azure, AWS, or GCP.
  • Hands-on experience with Terraform, Docker, Linux, and CI/CD pipelines.
  • Experience with REST APIs, asynchronous programming, relational databases such as PostgreSQL, and message queues.
  • Practical experience building LLM applications and integrating model APIs.
  • Understanding of authentication, authorization, secrets management, and service security.
  • Ability to work independently, navigate existing codebases, and troubleshoot across application and infrastructure layers.
  • Ability to write clear, maintainable code and work collaboratively.

Se valora

  • Around five years of relevant backend, DevOps, or hybrid engineering experience.
  • Azure experience, particularly Container Apps, Key Vault, Microsoft Entra ID, and Service Bus.
  • Experience building AI agents and using tool calling or the Model Context Protocol (MCP).
  • Experience with RAG, embeddings, vector search, and pgvector.
  • Familiarity with OpenTelemetry, Grafana, and distributed-system monitoring.
  • Experience integrating with Microsoft Graph and Microsoft 365.

Compatibilidad

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