Software Engineering Specialist
Posted 57mins ago
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Job Description
Especialista em engenharia de software evoluindo sistemas críticos do mercado de capitais na Depositária. Criando agentes inteligentes, automações e soluções de IA para clientes.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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



















