Senior Backend Developer

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 hiring a Senior Backend Developer to join a cross-functional team working in the alcoholic beverage industry. We operate a B2B e-commerce platform that is active in 30 countries and serves as one of our largest partnerships.

In this role, you will work on a managed integration platform. Your job is to connect our partners’ main business systems (ERP, CRM, OMS, WMS) to our global e-commerce platform. You will extract data about products, customers, pricing, inventory, orders, and fulfilment from these systems and ensure it reaches the downstream platform reliably.

You will work across the entire project lifecycle — building solutions, deploying them, supporting urgent issues (hypercare), and providing ongoing operations. You will also participate in a 24/7 on-call rotation to handle escalations and production issues. This is a heavily customer-facing role, so you will partner closely with partner technical teams throughout.

You will use AI coding agents as a core part of your daily work — this is not optional. You will evaluate AI-generated code critically to catch errors and ensure quality.

What You Will Do

• Design and deliver integration solutions that connect partner systems (ERP, CRM, OMS, WMS) to the global e-commerce platform
• Own the complete data integration flow: extract data, transform it, map it, validate it, check accuracy, and deliver it downstream
• Lead technical conversations with partner teams across the entire project lifecycle
• Build, test, deploy, and operate integrations that handle commercial, customer, product, pricing, inventory, order, and fulfilment data
• Use observability practices: logging, distributed tracing, alerting, and runbooks to ensure high-quality integrations with low defect rates
• Handle new-partner onboarding, build, deployment, and steady-state operations (with balance determined by leadership)
• Participate in 24/7 L3 on-call rotation (24-hour shifts, rotating daily; respecting legally required rest between shifts)
• Troubleshoot production incidents and make technical decisions under pressure with incomplete information
• Use AI coding agents as your primary delivery tool, critically evaluating AI output for accuracy
• Utilize best tools and technologies to refine integration development and operations practices

What You Need to Know

• Senior experience designing, delivering, and operating integrations between enterprise systems (ERP/CRM) and commerce platforms
• Strong knowledge of the complete data integration flow end-to-end: extraction, transformation, mapping, validation, reconciliation, ingestion, and delivery
• Experience with multiple integration methods: REST/SOAP APIs, webhooks, event streaming, file exchange (SFTP), middleware, ETL/ELT tools, and batch processing
• Java backend development (production-level experience)
• Azure Data Factory
• REST APIs
• Spring Boot (Spring MVC, Spring Security, production-depth)
• Message brokers (RabbitMQ or equivalent)
• PostgreSQL
• Docker and Kubernetes
• Testing (JUnit, end-to-end tests)
• Observability discipline (logging, distributed tracing, alerting, runbooks)
• Customer-facing maturity — comfortable leading technical conversations with partner teams
• Ability to work effectively under pressure (production incidents, urgent issues, customer-visible outages)
• AI-native engineering (required, not optional) — daily, fluent use of AI coding agents as your primary delivery tool, with critical evaluation of AI output
• Advanced English proficiency, fluent in technical meetings with external stakeholders
  
  
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Nice to Have

Python (for auxiliary services, validation logic, and transformation scripts)
MongoDB or CosmosDB
Web infrastructure experience
Microservices architecture
Application optimization and performance tuning

What Success Looks Like

Delivering reliable, well-tested integration solutions that handle large data volumes across global systems
Maintaining low defect rates through observability and quality practices
Onboarding new partners efficiently while maintaining steady-state operations
Handling production incidents and escalations effectively under pressure
Earning trust from partner technical teams through clear communication and technical expertise
Using AI coding agents effectively and responsibly as a core part of your delivery workflow
Contributing to continuous improvement of the platform’s integration practices and operations