Senior Software Engineer

GBS Group

Medellín

Remote

COP 373,680,000 - 560,521,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation

High autonomy

Shape automation-first strategy

Flexible holidays

Job summary

GBS Group is expanding its automation-first and AI-native systems. We are seeking a high-ownership engineer to design, deploy, and maintain internal tools, automation systems, and AI-driven workflows.

You will secure data handling, manage access, and orchestrate complex integrations across diverse platforms. The role blends platform engineering, DevOps, and applied AI to reduce manual work and scale business processes.

Qualifications

5+ years of experience in software engineering or platform engineering.
Proven experience building and maintaining internal tools, automation systems, or operational platforms.
Strong backend and system design fundamentals for scalable, reliable systems.
Experience with API integrations and system orchestration.
Practical experience with CI/CD pipelines, deployment workflows, and infrastructure management.
Familiarity with observability, logging, and monitoring for reliability and performance.
Hands-on experience with AI tools in production environments (LLMs, agents, etc.).

Responsibilities

Build and evolve internal tools supporting core business operations.
Design systems to improve operational efficiency and scalability.
Treat internal tools as products with long-term ownership.
Design and implement automation across workflows, systems, and data pipelines.
Connect APIs and tools into cohesive workflows; identify high-impact automation opportunities.
Integrate AI tools and design reliable AI-driven workflows.
Own CI/CD pipelines, deployment processes, and environment management.
Maintain security and integrity across tools and AI workflows.
Collaborate with operations and leadership to translate business needs into systems.

Skills

Software eng

Platform engineering

DevOps

AI tooling

System design

API integrations

CI/CD

Security basics

Tools

CI/CD pipelines

Job description

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