Software Engineering Specialist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Engage with essential capital markets systems.

• Play a key role in advancing solution architecture and ensuring reliability.

• Develop innovative capabilities that leverage Artificial Intelligence for products and business operations.

• Analyze and resolve intricate challenges.

• Design and create intelligent agents.

• Streamline and automate processes.

• Convert emerging technologies into practical solutions that provide significant value to clients.

• Execute solutions through robust technical ownership and hands-on development.

• Collaborate effectively with Product, Operations, Engineering teams, and clients.

• Guide professionals and foster the technical growth of the team.

• Manage incidents and navigate highly complex scenarios.

⛳️ Requirements

• Extensive experience in software engineering, systems architecture, and hands-on development.

• Expertise in C#/.NET, along with experience in Node.js, TypeScript, and Angular.

• Familiarity with microservices, REST APIs, event-driven architecture, and distributed systems.

• Solid understanding of Domain-Driven Design (DDD), Clean Architecture, Hexagonal Architecture, SOLID principles, CQRS, and Design Patterns.

• Experience with AWS services, particularly ECS, Lambda, SQS, SNS, and CloudWatch.

• Knowledge of messaging and asynchronous processing technologies like RabbitMQ and Kafka.

• Proficient in PostgreSQL and Redis, including strategies for persistence, caching, and performance optimization.

• Experience working with Docker, Kubernetes, Linux, and GitLab CI/CD.

• Understanding of observability tools such as OpenTelemetry, Grafana, CloudWatch, or similar solutions.

• Familiarity with automated testing, code reviews, static analysis, and software quality best practices.

• Insight into secure development practices, Secure SDLC, and OWASP standards.

• Ability to analyze and address complex issues in critical systems.

• Knowledge of or practical experience with Generative AI, LLM integration, AI Agents, RAG, semantic search, tool/function calling, and AI-driven process automation.

• Demonstrated ownership, autonomy, and proactivity in advancing problems and deliverables.

• Strong critical thinking skills and the capacity to make pragmatic technical decisions.

• Business and product awareness, linking engineering choices to value creation.

• Curiosity, adaptability, and eagerness to explore new technologies, particularly AI solutions.

• Excellent communication and collaboration skills when engaging with various teams, including Product, Operations, Engineering, and clients.

• Capability to mentor team members and support the technical development of the group.

• Composure under pressure, handling incidents, and managing highly complex situations.

• Intellectual humility, openness to constructive feedback, and a commitment to continuous improvement.

• 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 various AI models or providers, including routing, caching, and cost and token optimization strategies.

• Preferred: understanding of multi-agent architectures, context engineering, agent memory, embeddings, and vector databases.

• Preferred: experience in developing products, services, or automations that incorporate AI into the user experience.

• Preferred: familiarity with micro-frontends, React, and Next.js.

• Preferred: background in the financial, banking, or capital markets industries.

• Preferred: knowledge of Blockchain, DLT, Smart Contracts, and Tokenization.

• Preferred: understanding of 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.