Technical Operations Engineer (SRE / QA / Data) - 65083572146

somewhere; United States; Remote; USD 22,000 - 39,000; Full time

Job summary

Not disclosed Real Estate Tech Firm is seeking an autonomous Technical Operations Engineer to act as a generalist across SRE/DevOps, QA automation, data integrity, and technical support. You will own system observability, data accuracy, and tool integrations across CRM, customer portal, and product analytics.

You will leverage modern AI tools daily to accelerate output, maintain code quality, and own execution outcomes in a fast-paced, highly autonomous environment with full ownership over

Qualifications

• Hands-on experience across at least two core areas: SRE/DevOps, QA automation, data operations, or L3 technical support.
• Proficient with AWS, Terraform, Datadog or similar monitoring stacks, and Cypress or equivalent test automation framework.
• Strong coding in TypeScript/JavaScript or Python; ability to write complex SQL and NoSQL queries (MongoDB a plus).

Responsibilities

• Monitor system observability, incident response, and post-incident fixes.
• Develop and maintain observability tooling and automated checks to reduce manual toil.
• Manage data integrity across CRM, customer portals, payments, and analytics platforms; resolve discrepancies at root cause.
• Create self-serve dashboards for non-technical stakeholders to access operational insights.
• Leverage AI tools daily to accelerate output while ensuring accuracy and quality.

Skills

SRE/DevOps

QA automation

data operations

L3 technical support

Tools

AWS

Terraform

Datadog

Cypress

MongoDB

Job description

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

Our client is a fast-growing, data-driven real estate technology firm operating at significant scale, participating in 50% of off-market home sales in their target sector over the past 12 months, and actively expanding into home services. Operating with zero corporate bureaucracy, the company prioritizes fast execution, high agency, and tangible results over process and unnecessary meetings.

Role Overview

We are seeking an autonomous, highly adaptable Technical Operations Engineer to serve as a generalist technical operator across SRE/DevOps, QA automation, data integrity, and technical support.

In this role, you will own system observability, clean tool integrations, and data accuracy across core platforms including CRM, customer portal, and product analytics. You will act as the primary technical operator keeping systems reliable and data trustworthy, leveraging modern AI tools as a daily multiplier while maintaining total ownership over final execution and outcomes.

Key Responsibilities

• System Observability & Incident Response: Monitor system health proactively, catch potential points of failure before escalation, and run efficient post-incident fixes.
• Automation & Alerting: Build and maintain observability tooling and automated checks to eliminate manual engineering toil across the organization.
• Data Integrity & Reconciliation: Own core data accuracy across CRM, customer portals, payments, and support platforms, investigating and resolving discrepancies at the root cause level.
• Self-Serve Dashboards & Reporting: Create clear, accessible dashboards that allow non-technical business stakeholders to self-serve operational answers independently.
• AI-Assisted Technical Execution: Utilize modern AI tools daily to accelerate output, verify logic, and troubleshoot, maintaining strict standards for accuracy and code quality.

Qualifications & Requirements

• Multi-Domain Technical Experience: Hands-on experience across at least two core areas: SRE/DevOps, QA automation, data operations, or L3 technical support.
• Core Technical Stack: Working proficiency with AWS, Terraform, Datadog or comparable monitoring stacks, and Cypress or alternative test automation frameworks.
• Programming & Database Skills: Strong proficiency in TypeScript, JavaScript, or Python; confident writing and analyzing complex SQL and NoSQL queries, with MongoDB experience as a plus.
• Data Flow Mastery: Proven track record maintaining clean data syncs across CRMs, payment processors, and analytics platforms.
• Communication & Mindset: Exceptional written and spoken English with the ability to translate complex technical issues into clear language for non-technical teammates. Strong bias for action and comfort operating with high agency in fast-paced environments.

First 90-Day Success Outcomes

• Reduced Incidents: Measurable decrease in recurring technical incidents through proactive automation of manual checks.
• Data Reliability: Visible reduction in data-discrepancy tickets through root-cause remediation across core integrations.
• Self-Serve Analytics: Deployed dashboards enabling non-technical teams to access key operational answers without opening engineering tickets.