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Senior Back End Developer (Python/Golang, AI Integration & SAP), Colombia

🔥 23 hours ago
Go (golang)PythonSAP S/4HANAOdata
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📜 Description

  • Design, develop, and maintain scalable backend services and APIs using Go and Python.
  • Apply microservices and event-driven architecture to distributed applications.
  • Integrate LLM capabilities, including RAG pipelines, tool calling, and AI orchestration.
  • Build cloud-native services on Microsoft Azure and optimize performance and resource use.
  • Implement Redis distributed caching and resilient service patterns, including fault tolerance, retries, timeouts, and error handling.

🛠️ Requirements

  • Languages: Go (Golang) and Python.
  • SAP integration (required): S/4HANA and ERP via OData, IDocs, BAPIs, RFCs, APIs and middleware. Preferred: BTP, CPI, MDG, Variant Configuration.
  • Azure integration: APIM, Service Bus, Event Hubs, PostgreSQL, SQL, Entra ID, OAuth 2.0 and OIDC, Key Vault, networking, IaC.
  • Caching (required): Redis, distributed caching, cache-aside, invalidation.
  • AI (lighter): LLM integration, tool calling, RAG, and AI coding tools (Codex, Claude Code, Copilot).
  • Architecture: microservices, event-driven systems, resiliency and retries.

✨ Benefits

  • Premium Healthcare
  • Meal voucher
  • Maternity and Parental leaves
  • Mobile services subsidy
  • Sick pay-Life insurance
  • CI&T University
  • Paid Vacations
Full job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.


We are looking for a Senior Backend Engineer to design, develop, and scale high-performance backend services, integrating AI capabilities into modern distributed systems. This role combines strong backend engineering expertise with hands-on experience in LLM integrations, Retrieval-Augmented Generation (RAG), and tool calling, leveraging technologies such as Go, Python, and Microsoft Azure.

The ideal candidate will bring a solid understanding of microservices architecture, event-driven systems, distributed caching, and resilient service design to build reliable, scalable, and AI-enabled backend solutions.

Responsibilities:
  • Backend Architecture & Development: Design, develop, and maintain scalable backend services and APIs using Go and Python, applying microservices and event-driven architecture principles to support high-performance, distributed applications.
  • AI & LLM Integration: Integrate LLM capabilities into backend services, implementing RAG pipelines, tool calling, and AI orchestration patterns to enable intelligent, context-aware application workflows.
  • Cloud Infrastructure & Performance Optimization: Build and integrate cloud-native services on Microsoft Azure, implementing distributed caching strategies with Redis and optimizing service performance, scalability, and resource utilization.
  • Reliability & Distributed Systems Engineering: Design resilient backend architectures by implementing fault tolerance, retries, timeouts, and appropriate error-handling strategies, ensuring reliable communication and execution across distributed services and AI-powered workflows.
Requirements:
  • Languages: Go (Golang) and Python.
  • SAP integration (required): S/4HANA and ERP via OData, IDocs, BAPIs, RFCs, APIs and middleware. Preferred: BTP, CPI, MDG, Variant Configuration.
  • Azure integration: APIM, Service Bus, Event Hubs, PostgreSQL, SQL, Entra ID, OAuth 2.0 and OIDC, Key Vault, networking, IaC.
  • Caching (required): Redis, distributed caching, cache-aside, invalidation.
  • AI (lighter): LLM integration, tool calling, RAG, and AI coding tools (Codex, Claude Code, Copilot).
  • Architecture: microservices, event-driven systems, resiliency and retries.
#LI-LO1
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. Our benefits include:   - Premium Healthcare - Meal voucher - Maternity and Parental leaves - Mobile services subsidy - Sick pay-Life insurance - CI&T University    - Colombian Holidays - Paid Vacations And many others.      Collaboration is our superpower, diversity unites us, and excellence is our standard.  We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
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