Software Engineering Specialist

Job not on LinkedIn

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Laqus

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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