Technical Operations Engineer (SRE / QA / Data) Compensation: $2,000 to $3,500 USD / month (depending on experience and at client’s discretion)

Location: Remote (Latin America or Philippines)

Shift / Schedule: Full-Time (US EST Time-Zone Overlap)

Employment Type: Independent Contractor

About The Company The client's company s a fast-growing performance marketing company specializing in connecting motivated homeowners with real estate investors, with expanding operations across home services and other consumer verticals.

They're a lean, fast-moving startup that values ownership, resourcefulness, and results. Operates across multiple marketing channels, manage a growing network of partners, and move quickly to capitalize on new opportunities.

They don't believe in unnecessary bureaucracy or meetings for the sake of meetings. They believe in hiring smart, capable people who can solve problems, take initiative, and make things happen. If you thrive in a dynamic environment where priorities evolve and your work has an immediate impact, you'll fit right in.

About The Role They need a generalist technical operator. Someone who can move fluidly between reliability engineering, QA, data integrity, and technical support without waiting to be told which hat to wear. You'll be the person who keeps our systems observable, our integrations clean, and our data trustworthy, while using AI tools as a thinking partner rather than a crutch. This isn't a narrow, single-lane role: if it's technical and it's broken, slow, or unclear, it's probably yours to fix.

Responsibilities

- Monitor system health and lead incident response. Catch issues before they become fires, and run clean, fast post-incident fixes when they don't
- Build and maintain automation, alerting,



and observability tooling to reduce manual toil across the team
- Own data integrity across core tools - CRM, customer portal, product analytics investigating and resolving discrepancies before they compound
- Build dashboards and reporting that let non-technical teammates self-serve answers instead of pinging engineering
- Use AI tools daily to move faster, but verify, question, and override them when they're wrong; you own the outcome, not the model

Requirements

- Hands-on experience across at least two of: SRE/DevOps, QA automation, data operations, or technical support
- Working proficiency with AWS, Terraform, Datadog (or comparable monitoring stack), and Cypress or another test automation framework
- Comfortable in TypeScript/JavaScript or Python, and confident writing and reading SQL/NoSQL queries (MongoDB experience a plus)
- Experience keeping data clean and synced across CRM, payments, and support tools
- Excellent written and verbal communication. You are able to explain a technical problem to a non-technical stakeholder in plain language, fast fluent, thoughtful use of AI tools: you use them to think faster and check your own work, not to skip thinking a bias toward action over process.
- You are comfortable owning ambiguous problems with minimal oversight results.

In Your First 90 Days, Success Looks Like

- Fewer recurring incidents, because you've automated away the manual checks that used to catch them late
- A visible drop in "why is the data wrong" tickets, because you've found and fixed the root causes
- Dashboards and tools that let other teams answer their own questions without opening a ticket
- The team trusts you with ambiguous, undefined problems because you've shown you can figure out the right fix without a lot of hand-holding

📌 Technical Operations Engineer (SRE / QA / Data) - 65083572146 (Colombia)
🏢 Somewhere
📍 Colombia