Live opening · Posted 3 days ago
Sr. Dot Net Developer
RELQ TECHNOLOGIES · Brazil (Remote)
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At a glance
The key details from the original listing.
CompanyRELQ TECHNOLOGIES
LocationBrazil (Remote)
Work modeYes
Source
Linkedin
Listed3 days ago
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About the role
Description supplied by the original job listing.
Role: Senior Software Architect
Location: Brazil(Remote)
Duration 6 to 12 months
About The Role
We are seeking an experienced Senior Software Architect, this hands-on role is responsible for designing scalable, secure, and cloud-native solutions.
As an AI-First Engineering organization, AI-assisted development is a core expectation. You will leverage AI tools, reusable skills, commands, and agentic workflows to improve engineering productivity, automate development tasks, and accelerate software delivery.
Responsibilities
Design scalable, secure, and high-performance SaaS applications using .NET and modern cloud technologies.
Lead architecture across projects and engineering teams.
Mentor senior engineers and drive technical excellence.
Design cloud-native, API-first, microservices, and event-driven solutions.
Collaborate with Architects, Product, Engineering, and DevOps to deliver high-quality software.
Champion AI-first software development practices across the organization.
Required Qualifications
12+ years of software engineering experience with 5+ years in an Architect or Principal Engineer role.
Expert in C#, .NET Core, Entity Framework, and Angular 16+.
Strong experience with SQL Server/PostgreSQL and NoSQL databases (Amazon DocumentDB preferred).
Experience designing enterprise SaaS applications using microservices, DDD, CQRS, and event-driven architecture.
Strong AWS (preferred) Or Azure Cloud Experience.
Excellent communication, leadership, and mentoring skills.
AI-First Development (Required)
Daily hands-on experience with AI coding tools such as Claude Code, GitHub Copilot, Cursor, or similar.
Experience using AI skills, commands, prompts, and agents to automate code generation, testing, documentation, debugging, and refactoring.
Familiarity with LLMs, RAG, MCP, and agentic development workflows.
Ability to evaluate AI-generated code and establish best practices for AI-assisted software development.
Nice To Have
GraphQL
Kubernetes
Terraform
CloudWatch, Datadog, or New Relic
Platform Engineering
AI Agent development
Work arrangement
Yes
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