Senior Software Engineer

• Location: Remote - Anywhere in LATAM
• Job Type: Full-Time - Independent Contractor
• Compensation: USD

To be considered for this position, you must have an advanced level of English & Spanish

At GBS Group, we help entrepreneurs and executives start, run, and manage their businesses in the United States through Start-Up Services, Financial & Tax Advisory, and operational support solutions. As we continue scaling our internal capabilities, we are investing heavily in automation, AI-driven workflows, and internal platforms that improve how we operate, deliver, and scale. We are building a high-leverage internal systems layer powered by automation and AI—and this role is critical to that effort.

This role owns the design, development, deployment, security, and maintenance of internal tools, automation systems, and AI-driven workflows. AI is expected to be a core part of how this work is done, from development and testing to deployment and ongoing improvement. It combines internal product development, platform engineering, DevOps, and applied AI systems to improve operational efficiency and scale business processes. You will also be responsible for the security, reliability, and integrity of these systems, ensuring safe handling of data, access, and system interactions across all automation and AI workflows.

This is a high-ownership, builder role for someone who thinks beyond code and focuses on driving real business impact through systems.

Key Responsibilities

Internal Tools & Platforms

Build and evolve internal tools that support core business operations

Design systems that improve operational efficiency and scalability

Treat internal tools as products with long-term ownership

Automation & System Orchestration

Design and implement automation across workflows, systems, and data pipelines

Connect APIs, third-party tools, and internal systems into cohesive workflows

Continuously identify and execute high-impact automation opportunities

AI Systems & Workflows

Integrate AI tools, copilots, and agent-based processes into day-to-day operations

Design and manage AI-driven workflows that are reliable and production-ready

Establish guardrails for AI usage (data exposure, prompt injection risks, etc.)

Infrastructure, DevOps & Reliability

Own CI/CD pipelines, deployment processes, and environment management

Maintain infrastructure reliability, monitoring, and observability

Troubleshoot system failures, integration issues, and performance bottlenecks

Security & System Integrity

Implement and maintain security best practices across internal tools and AI workflows

Manage authentication, authorization, and access controls (RBAC, secrets, API keys)

Ensure secure handling of sensitive data across integrations and AI systems

Monitor for vulnerabilities, misconfigurations, and potential abuse

Protect systems against risks specific to AI-enabled environments

Cross-Functional Impact

Work closely with operations and leadership to translate business needs into systems

Improve how teams operate by reducing manual work and increasing leverage

What Makes Someone Successful Here

Thinks like a product builder , not just a developer

Comfortable owning systems end-to-end (build → deploy → maintain → improve)

Strong at debugging messy, real-world system issues

Uses AI as a core development tool across the software lifecycle, while maintaining strong technical judgment and ownership of the final result

Understands tradeoffs between speed (AI-assisted builds) and reliability

Focused on business outcomes , not just technical elegance

Proactively identifies opportunities to improve systems and processes

Requirements & Qualifications

5+ years of experience in software engineering, platform engineering, or similar roles

Proven experience building and maintaining internal tools, automation systems, or operational platforms

Strong backend and system design fundamentals, with the ability to design scalable, reliable systems

Experience with API integrations and system orchestration , connecting multiple tools and services into cohesive workflows

Practical experience with CI/CD pipelines, deployment workflows, and infrastructure management

Familiarity with observability, logging, and monitoring systems to ensure reliability and performance

Strong experience designing and implementing workflow automation and system optimization

Ability to analyze processes and identify opportunities to improve operational efficiency

Hands-on experience working with AI tools in production environments , including LLMs, agents, or automation platforms

Hands-on experience using AI across the software development lifecycle, including development, testing, debugging, deployment, and ongoing iteration

Ability to integrate AI into real business workflows with sound judgment

Understanding of agent-based systems and orchestration patterns

Solid understanding of security fundamentals , including authentication, authorization, encryption, and secrets management

Experience with secure API design and integration practices

Familiarity with common vulnerabilities (OWASP mindset) and ability to identify risks

Understanding of AI-specific security risks , such as data leakage, prompt injection, and over-permissioned agents

Strong debugging and troubleshooting skills across applications, infrastructure, and integrations

Ability to navigate and resolve complex, real-world system issues

Strong understanding of system reliability, performance, and operational excellence

Ability to operate independently with high ownership and accountability

Nice to Have

Experience designing AI-powered internal platforms or automation layers

Experience with agent-based systems or workflow orchestration tools

Familiarity with cloud platforms and containerized environments

Background in scaling internal systems in fast-growing companies

What We Offer You

Competitive compensation based on experience and impact

High-autonomy environment with strong ownership expectations

The opportunity to shape how GBS builds automation-first and AI-native systems

Flexible time off and company-wide holidays

Direct impact on business efficiency and scalability

A role focused on building systems that matter , not just shipping code