
Software Engineering Specialist
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Brazil.
• Engage with critical systems within the capital markets.
• Play a key role in advancing solution architecture and enhancing reliability.
• Innovate new capabilities by applying Artificial Intelligence to products and business operations.
• Analyze complex issues and offer viable solutions.
• Design intelligent agents and integrate Large Language Models (LLMs).
• Automate processes using AI and transform emerging technologies into valuable customer solutions.
• Involve yourself in hands-on development activities.
• Guide professionals and aid in the technical growth of the team.
• Collaborate with Product, Operations, Engineering teams, and customers.
• Strong background 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 using RabbitMQ and Kafka.
• Proficient in PostgreSQL and Redis, with insights into persistence, caching, and performance optimization techniques.
• Experience with Docker, Kubernetes, Linux, and GitLab CI/CD workflows.
• Understanding of observability tools such as OpenTelemetry, Grafana, CloudWatch, or similar.
• Familiarity with automated testing, code reviews, static analysis, and best practices in software quality.
• Knowledge of secure development practices, Secure Software Development Life Cycle (SDLC), and OWASP guidelines.
• Capability to investigate and address complex issues in critical systems.
• Understanding of or practical experience with Generative AI, LLM integration, AI Agents, Retrieval-Augmented Generation (RAG), semantic search, tool/function calling, and AI-driven process automation.
• Ownership mentality, autonomy, and proactive approach to driving issues and deliverables forward.
• Strong critical thinking skills and ability to make pragmatic technical decisions.
• Product and business insight, linking engineering choices to value generation.
• Curiosity, adaptability, and a willingness to experiment with new technologies, especially in AI solutions.
• Excellent communication and collaboration abilities across various functions, including Product, Operations, Engineering, and customer interactions.
• Ability to mentor team members and contribute to the technical development of the team.
• Composure under pressure, adeptness in handling incidents, and managing highly complex situations.
• Intellectual humility, openness to feedback, and dedication to continuous learning.
• Preferred: experience with OpenAI Agents SDK, LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen.
• Preferred: knowledge of MCP, LLMOps, AgentOps, Evaluations, and agent tracing.
• Preferred: experience with various AI models or providers, along with routing strategies, caching, and cost/token optimization.
• Preferred: understanding of multi-agent architectures, context engineering, agent memory, embeddings, and vector databases.
• Preferred: experience with products, services, or automations that integrate AI into user experiences.
• Preferred: knowledge of micro-frontends, React, and Next.js.
• Preferred: background in the financial, banking, or capital markets sectors.
• Preferred: understanding of Blockchain, Distributed Ledger Technology (DLT), Smart Contracts, and Tokenization.
• Preferred: familiarity with DORA metrics.
• Meal Voucher.
• Food Allowance.
• Health Insurance with no copayment, including options for dependents.
• Dental Insurance with no copayment, including options for dependents.
• Life Insurance.
• Semiannual Bonus.
• Referral Program with bonus payments.
• Subsidy for courses, training, and professional development.
• Psychological Support Allowance.
• Childcare Assistance.
• Birthday Day Off.
• TotalPass.
• Dog Day at the office.
• No dress code.
• High Potential Program.
• Stock Options.
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