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Full-Stack Product Engineer — Automation

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Onsite

Full-Stack Product Engineer — Automation

Outsourced

Full-Stack Product Engineer — Automation

Skills

SQL QueriesNodeTypescriptPythonPostgreSQLAIAWSNo-code Automations

6 days ago

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Important information


Contract type:

Permanent

Location:

Colombia, Huila, Colombia

Work mode:

Onsite

Published on:

14 October 2026

What they need


About The Role We are looking for a senior full-stack product engineer who can work directly with business and domain experts to turn operational problems into production-ready software.

You will be expected to understand the problem, ask the right questions, challenge

assumptions, propose solutions, and own delivery from idea through production.

A major focus of the role will be building automation across accounting, restaurant operations,

and practice-management workflows. The work may begin as a specific automation, but your

responsibility is to think beyond the immediate request: identify reusable patterns, reduce

manual work, and help turn successful workflows into scalable product capabilities.

What You'll Do

  • Work directly with business, accounting, and operations teams to understand problems

and define practical solutions.

  • Build full-stack product features and automations across frontend, backend, APIs,

integrations, and data workflows.

  • Take loosely defined business needs and turn them into clear, testable, production-ready

implementations.

  • Ask questions early when requirements are incomplete, contradictory, or unclear.
  • Identify when a one-off automation should become a reusable product or platform

capability.

  • Integrate with external systems such as accounting, payroll, POS, and other business

platforms.

  • Design for real production conditions, including incomplete data, failure states,

permissions, retries, observability, and supportability.

  • Own testing, deployment, validation, and follow-through after release.
  • Use AI-assisted development tools aggressively and responsibly to increase engineering

velocity.

  • Participate in architecture and technical design decisions across the broader product.
  • Collaborate with engineers across the US, Latin America, and India.

What we're looking for

  • Strong professional experience building production full-stack applications.
  • Strong backend engineering skills and comfort working across the frontend when

needed.

  • Experience designing and consuming APIs and integrating external systems.
  • Strong SQL and relational-data fundamentals.
  • Ability to operate effectively with ambiguity and incomplete requirements.
  • Strong product judgment: you care whether something solves the user's problem, not

simply whether the code matches a ticket.

  • Comfortable communicating directly with non-technical stakeholders and domain

experts.

  • Able to independently investigate problems, make reasonable decisions, and escalate

only when necessary.

  • Strong debugging and production problem-solving skills.
  • Experience with modern cloud infrastructure, preferably AWS.
  • Fluency with AI-assisted software development workflows.

Especially valuable

  • Experience with workflow automation or agentic systems.
  • Accounting, fintech, restaurant-tech, or practice-management experience.
  • Experience integrating systems such as QuickBooks Online, payroll platforms, POS

systems, or financial APIs.

  • Experience with Python, TypeScript/Node.js, PostgreSQL, AWS, or similar technologies.
  • Experience building internal platforms or turning one-off solutions into reusable

capabilities.

How We Work We expect engineers to own outcomes, not just implementation.

That Means

  • understand the problem before writing code;
  • ask questions rather than silently making assumptions;
  • take work from idea through production;
  • think across the stack rather than staying within a narrow specialization;
  • use judgment when requirements are incomplete;
  • communicate blockers and risks early;
  • improve the system rather than repeatedly work around the same problems.

We increasingly use AI as part of everyday engineering. We expect engineers to use it to move

faster while remaining fully accountable for the quality, security, and correctness of what they

ship.

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