Senior Software Engineer - Remote Latam
Senior engineer building scalable SaaS on C#/.NET, Blazor, and MVC, using AI coding agents to implement specs and mentor peers.
- Compensation
- Not disclosed
- Location
- Brazil
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 10+ years of professional software development experience.
- Demonstrated experience operating at a senior, staff, principal, or architect-level capacity, owning complex technical decisions.
- Strong professional experience with C# and .NET.
- Strong experience developing modern web applications and services using MVC and Blazor.
- Proven experience designing and developing scalable SaaS applications or enterprise software.
- Demonstrated experience working with very large datasets, including applications or systems handling tens or hundreds of millions of records.
- Strong understanding of database performance, data access patterns, query optimization, application performance, and scalable system design.
- Experience designing and developing APIs and distributed services.
- Strong understanding of software architecture, design patterns, SOLID principles, and maintainable application design.
- Experience diagnosing complex performance, scalability, and reliability problems.
- Experience with Git and modern software development workflows.
- Experience using AI coding assistants, preferably Claude or comparable agentic coding tools.
- An active personal GitHub profile or public software repository is required. The repository should demonstrate genuine software development experience, technical curiosity, passion for engineering, or
- Strong written and verbal communication skills.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Architectural Thinker: You understand how individual technical decisions affect the broader system and can design solutions with scalability and long-term maintainability in mind.
- Hands-On Engineer: You are comfortable working directly in the codebase and solving complex technical problems rather than operating exclusively at a conceptual level.
- Scale-Oriented: You have experience building and optimizing systems that work with very large datasets and understand the engineering challenges that emerge at scale.
- Tool Builder: You enjoy creating practical tools that make other people’s work faster, easier, and more reliable.
Nice to have
- Experience building tools used by internal implementation, operations, or professional services teams.
- Experience building customer-facing data validation, configuration, onboarding, or implementation tools.
- Experience working with SaaS products that support complex customer implementations.
- Experience designing systems for high-volume data processing or data-intensive applications.
- Experience with cloud platforms, particularly Microsoft Azure.
- Experience with CI/CD and automated deployment practices.
- Experience with containerized or distributed application environments.
- Experience with observability, monitoring, profiling, and production performance analysis.
- Experience establishing or improving AI-assisted engineering workflows.
- Experience using Claude Code, GitHub Copilot, or other AI coding agents in professional development environments.
- Exposure to AI-enabled product features or technologies such as Azure OpenAI, RAG, or LLM-based applications.
Full description
Location: Remote | LATAM
Employment Type: Full-Time
Overview
We are seeking a Software Engineer IV with 10+ years of professional software development experience to design and build high-impact tools that improve how our SaaS platform is configured, implemented, validated, and delivered to customers.
This is a highly technical, hands-on role focused on solving complex engineering problems and creating scalable tools for both internal implementation teams and customers. The engineer will work on tools that help implementation teams configure and manage the product, as well as client-facing capabilities that enable customers to validate and prepare their data before it is handed over for implementation.
A key focus of the role will be performance at scale, including designing and optimizing applications that work with very large datasets—potentially 100+ million records. The successful candidate must be comfortable reasoning about database performance, application architecture, data processing, scalability, and system efficiency at this level. AI-assisted development is an important part of how we work. Claude is our approved internal AI coding tool, and this role will use AI to accelerate implementation, testing, refactoring, debugging, and documentation. However, AI is a development accelerator—not a substitute for engineering judgment. You will be responsible for defining the problem, creating clear specifications, validating AI-generated output, and owning the quality of the final solution.
This role is ideal for an engineer who combines deep technical expertise, architectural thinking, strong hands-on development skills, and a genuine passion for software engineering.
What You’ll Build
You will design and develop tools that directly improve the efficiency, quality, and scalability of our SaaS implementation process.
Examples include:
- Internal implementation tools that help teams configure, manage, and deploy the product more efficiently.
- Client-facing data validation tools that allow customers to identify and resolve data issues before submitting data for implementation.
- Tools and services that reduce manual implementation effort and improve operational efficiency.
- Scalable applications and services capable of processing and working with very large datasets.
- Technical capabilities that support a high volume of customer implementations and go-live activities.
- Engineering solutions that can be adopted broadly across internal teams and customers.