Senior Software Engineer

gbsgroup

Medellín

A distancia

COP 300.060.000 - 500.100.000

Jornada completa

Hace 11 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Competitive compensation
High autonomy
AI-native systems
Flexible time off

Descripción de la vacante

GBS Group is seeking a Senior Systems Engineer to own the design, deployment, and security of internal tools, automation systems, and AI-driven workflows. This role blends internal product development, platform engineering, DevOps, and applied AI to improve operational efficiency and scale business processes.

You will design reliable AI-enabled workflows, ensure data protection and system integrity, manage CI/CD pipelines, and work cross-functionally with leadership to translate business needs

Formación

  • 5+ years in software or platform engineering, with internal tools or automation focus.
  • Strong backend and system design fundamentals for scalable, reliable systems.
  • Experience designing and implementing workflow automation and automation pipelines.
  • Hands-on experience with AI tools in production, including LLMs or agents.
  • Experience with API integrations and system orchestration across multiple tools.
  • Familiarity with security, authentication, authorization, and secrets management.
  • Proactive problem solving across applications, infrastructure, and integrations.

Responsabilidades

  • Own design, development, deployment, security, and maintenance of internal tools and automation systems.
  • Build and evolve internal tools as products with long-term ownership.
  • Design and implement automation across workflows and data pipelines.
  • Integrate AI tools and agent-based processes into daily operations.
  • Own CI/CD pipelines, deployment processes, and environment management.
  • Maintain system reliability, monitoring, and observability.
  • Implement security best practices and manage access controls.
  • Collaborate with operations and leadership to translate business needs into scalable platforms.

Conocimientos

Backend & system design
API integrations
CI/CD pipelines
Observability & monitoring
AI in production
Security fundamentals
Troubleshooting
Independent ownership
Product mindset
Workflow orchestration
LLMs & agents
AI-driven security

Herramientas

CI/CD tooling
Cloud platforms
Containerization

Descripción del empleo

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
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