Senior Backend Engineer

hace 2 semanas

Buenos Aires, Buenos Aires C.F., Argentina Powdevs A tiempo completo

You will play a pivotal role in designing, implementing and delivering a foundational platform for AI and Automation, leveraging Microsoft Azure as the primary technology stack.

This platform will power next-generation AI enabled business processing services, focusing initially on creating robust user interfaces enabling advanced data capabilities—including ingestion, mapping, and extraction for structured, semi-structured, and unstructured data as well as building agentic AI intelligent interfaces.

Key Responsabilties

  • Design, develop, and deploy scalable, secure, and robust back-end solutions on Azure, with an emphasis on back-end components
  • Ensure software engineering best practices across design, code, and testing across APIs and maintain high quality documentation
  • Troubleshoot, debug, and upgrade existing back-end components and services as the platform grows
  • Experience working in an integrated DevOps and CI/CD environment and awareness of practices for streamlined deployment and platform reliability
  • Work independently with minimal supervision, proactively identifying and addressing challenges and opportunities

Must-Have for this role

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 5+ years of experience in back-end development, with hands-on expertise in both back-end technologies
  • Proficiency in , Azure App Services, API development
  • Understanding of front-end application integration and deployment architecture
  • Experience working with relational (PostgreSQL) and NoSQL databases (CosmosDB/Azure Data Lake), Azure Blob Storage
  • Experience building AI agents involving Python programming, LLM APIs
  • Strong understanding of Agentic AI
  • Hands-on experience with LangChain
  • Familiarity with handling structured (e.g., databases, CSV), semi-structured (e.g., JSON, XML), and unstructured data (e.g., documents, images, text)
  • Solid understanding of RESTful APIs, microservices architectures, and cloud-native design patterns
  • Experience with source control (e.g., Git), CI/CD pipelines, and DevOps practices
  • Excellent problem-solving skills, attention to detail, and a proactive, self-starting attitude
  • Strong communication skills, with the ability to work effectively in cross-functional teams

Nice to have for this role

  • Experience with Building and optimizing data pipelines for ingesting, mapping, and extracting data from a variety of sources and formats (structured, unstructured, and semi-structured)
  • Strong experience with Microsoft Azure services and building data pipelines, including (but not limited to) Azure App Services, Azure Functions, Azure Storage, and Azure Data Factory
  • Demonstrated experience in building data ingestion, mapping, and extraction workflows for diverse data formats
  • Knowledge of data security, privacy, and compliance best practices on Azure
  • Exposure to business processing services or enterprise transformation projects
  • Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (IaC).

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