Senior Software Engineer - Remote Latam

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.

Key Responsibilities

Architecture & Software Engineering

Lead the design and implementation of complex tools, features, services, and technical initiatives across the SaaS platform.

Design scalable, reliable, and maintainable applications using C#, .NET, ASP.NET MVC, and Blazor.

Make architectural and technical decisions that support long-term scalability, performance, maintainability, and reliability.

Design and develop APIs, services, integrations, and distributed application components.

Apply sound software engineering principles, including SOLID principles, design patterns, separation of concerns, and maintainable architecture.

Evaluate technical approaches and select solutions based on business requirements, system constraints, performance, and long-term maintainability.

Translate clearly defined product and business requirements into robust technical designs and implementations.

Partner with Product and implementation stakeholders to clarify requirements and identify the best technical approach without taking ownership of product management responsibilities.

Large-Scale Data & Performance

Design and optimize applications that operate against very large datasets, including datasets exceeding 100 million records.

Identify and resolve database, application, API, and architectural performance bottlenecks.

Design efficient data access, processing, querying, and transformation strategies.

Analyze system behavior under high data volumes and identify opportunities for significant performance improvements.

Develop solutions that remain responsive, reliable, and scalable as data volumes and customer usage increase.

Use profiling, monitoring, benchmarking, and other engineering techniques to validate performance improvements.

Balance performance optimization with maintainability, reliability, and development velocity.

AI-Assisted Development

Use Claude , the organization’s approved AI coding assistant, to accelerate development and engineering workflows.

Apply AI to appropriate development activities, including coding, refactoring, debugging, test generation, documentation, and technical exploration.

Create clear technical specifications, acceptance criteria, and implementation requirements that provide AI coding tools with sufficient context.

Review and validate AI-generated code for correctness, security, performance, maintainability, and architectural fit.

Use independent engineering judgment to determine when AI-generated solutions require modification, rejection, or deeper technical investigation.

Help establish effective team practices for AI-assisted development while maintaining appropriate human review and accountability.

Continuously evaluate how AI can improve engineering efficiency without compromising software quality.

Technical Leadership Mindset

Act as a senior technical authority for complex engineering and architectural challenges.

Provide technical guidance and mentorship to other engineers.

Conduct code reviews and promote high standards for software quality and maintainability.

Identify opportunities to improve engineering practices, tooling, architecture, and development efficiency.

Participate in technical planning, design discussions, backlog refinement, and implementation planning.

Communicate technical trade-offs and recommendations clearly to engineering, product, implementation, and business stakeholders.

Take ownership of technical problems from initial discovery through implementation and production delivery.

Required Qualifications

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 ASP.NET MVC and/or 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 meaningful open-source/side-project work. Quality and substance are more important than the number of repositories.

Strong written and verbal communication skills.

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

Experience building tools used by internal implementation, operations, or professional services teams.

Experience building customer-facing data validation, configuration,