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Laqus

Software Engineering Specialist

Laqus

. Work on critical capital markets systems .

Posted 10/16/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AngularAWSDockerGrafanaJavaScriptKafkaKubernetesLinuxNext.jsNode.jsPostgresRabbitMQReactRedisSDLCTypeScript.NET

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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