Software Engineering Specialist

• Work on critical capital markets systems
• Contribute to the evolution of solution architecture and reliability
• Develop new capabilities with Artificial Intelligence applied to products and business operations
• Investigate complex problems
• Create intelligent agents
• Automate processes
• Transform emerging technologies into solutions that deliver real value to clients
• Implement solutions through strong technical ownership and hands-on development
• Collaborate with Product, Operations, Engineering, and clients
• Mentor professionals and contribute to the team’s technical growth
• Handle incidents and highly complex scenarios

• Strong experience in software engineering, systems architecture, and hands-on development
• Proficiency in C#/.NET and experience with Node.js, TypeScript, and Angular
• Experience with microservices, REST APIs, event-driven architecture, and distributed systems
• Practical knowledge of DDD, Clean Architecture, Hexagonal Architecture, SOLID, CQRS, and Design Patterns
• Experience with AWS, particularly ECS, Lambda, SQS, SNS, and CloudWatch
• Knowledge of messaging and asynchronous processing with RabbitMQ and Kafka
• Proficiency in PostgreSQL and Redis, as well as persistence, caching, and performance optimization strategies
• Experience with Docker, Kubernetes, Linux, and GitLab CI/CD
• Knowledge of observability using OpenTelemetry, Grafana, CloudWatch, or equivalent tools
• Experience with automated testing, code reviews, static analysis, and software quality best practices
• Knowledge of secure development, Secure SDLC, and OWASP
• Ability to investigate and solve complex problems in critical systems
• Knowledge of or practical experience with Generative AI, LLM integration, AI Agents, RAG, semantic search, tool/function calling, and AI-powered process automation
• Ownership, autonomy, and proactivity in driving problems and deliverables forward
• Critical thinking and the ability to make pragmatic technical decisions
• Product and business acumen, connecting engineering decisions to value generation
• Curiosity, adaptability, and willingness to experiment with new technologies, especially AI solutions
• Strong communication and collaboration skills when working with different areas, including Product, Operations, Engineering, and clients
• Ability to mentor professionals and contribute to the team’s technical growth
• Maturity to handle pressure, incidents, and highly complex scenarios
• Intellectual humility, openness to feedback, and commitment to continuous learning
• Preferred: experience with AI frameworks and SDKs such as OpenAI Agents SDK, LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen
• Preferred: knowledge of MCP (Model Context Protocol), LLMOps, AgentOps, Evals, and agent tracing
• Preferred: experience with multiple AI models or providers, including routing, caching, and cost and token optimization strategies
• Preferred: knowledge of multi-agent architectures, context engineering, agent memory, embeddings, and vector databases
• Preferred: experience developing products, services, or automations with AI integrated into the user experience
• Preferred: knowledge of micro-frontends, React, and Next.js
• Preferred: experience in the financial, banking, or capital markets sectors
• Preferred: knowledge of Blockchain, DLT, Smart Contracts, and Tokenization
• Preferred: familiarity with DORA metrics

• Meal Voucher
• Food Voucher
• Health insurance with no copay, with the option to add dependents
• Dental insurance with no copay, with the option to add dependents
• Life insurance
• Semiannual bonus
• Referral Program with bonus
• Subsidy for courses, training, and professional development
• Psychological support
• Childcare assistance
• Birthday Day Off
• TotalPass
• Dog Day at the office
• No dress code
• High Potential Program
• Stock Options