
51 - 200 employees
Founded 2010
💼 Consulting
📦 Logistics
💳 Fintech
Consulting • Logistics • Fintech
Laqus is a Brazilian financial infrastructure company that provides end-to-end services to connect companies with capital markets, enabling origination, formalization, distribution, custody and monitoring of structured credit and tokenized assets. It offers a platform and APIs for agents of guarantees, bookkeeping, depositaries, custody and compliance, serving banks, fintechs, securitizers, credit managers and tokenizers with regulatory-compliant custody and operational workflows. Laqus focuses on secure, scalable, and compliant execution of structured finance operations, including debentures, commercial notes and securitizations.
🔥 21 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
Angular
AWS
Docker
Grafana
JavaScript
Kafka
Kubernetes
Linux
Next.js
Node.js
Postgres
RabbitMQ
React
Redis
SDLC
TypeScript
.NET
Where this job comes from
Posted on Laqus's careers page, not through a job board
First seen by Remote Rocketship 21 minutes ago

51 - 200 employees
Founded 2010
💼 Consulting
📦 Logistics
💳 Fintech
Consulting • Logistics • Fintech
Laqus is a Brazilian financial infrastructure company that provides end-to-end services to connect companies with capital markets, enabling origination, formalization, distribution, custody and monitoring of structured credit and tokenized assets. It offers a platform and APIs for agents of guarantees, bookkeeping, depositaries, custody and compliance, serving banks, fintechs, securitizers, credit managers and tokenizers with regulatory-compliant custody and operational workflows. Laqus focuses on secure, scalable, and compliant execution of structured finance operations, including debentures, commercial notes and securitizations.
• Work on critical systems in the capital markets • Contribute to the evolution of solution architecture and reliability • Develop new capabilities with Artificial Intelligence applied to products and business • Investigate complex problems and propose solutions • Create intelligent agents and integrate LLMs • Automate processes with AI and transform emerging technologies into valuable solutions for customers • Perform hands-on development • Mentor professionals and contribute to the team’s technical growth • Collaborate with Product, Operations, Engineering, and customers
• Solid 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, especially 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 resolve 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 mindset, 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 creation • Curiosity, adaptability, and willingness to experiment with new technologies, especially AI solutions • Strong communication and collaboration skills across functions, including Product, Operations, Engineering, and customers • 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 OpenAI Agents SDK, LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen • Preferred: knowledge of MCP, LLMOps, AgentOps, Evals, and agent tracing • Preferred: experience with multiple AI models or providers, routing strategies, caching, and cost and token optimization • Preferred: knowledge of multi-agent architectures, context engineering, agent memory, embeddings, and vector databases • Preferred: experience with products, services, or automations featuring 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 Allowance • Health Insurance with no copayment, including the option to add dependents • Dental Insurance with no copayment, including the option to add 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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