Coderio designs and delivers scalable digital solutions for general companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end.
We work with international clients, value autonomy and clear communication, and build long‐term partnerships through technical excellence.
More information: This is a high-impact technical role.
We are looking for a motivated and adaptive DataOps Engineer, Technical Referent to join our fast-paced environment.
You will operate at the intersection of data engineering, cloud infrastructure, and DevOps, where a high tolerance for ambiguity and a passion for constant learning are essential.
Your primary mission involves interacting with customers to understand their needs, extract requirements, and both design and propose scalable solutions.
You will be responsible for tackling the challenge of working within a team to develop solutions, as well as executing hands‐on technical work to ensure robust data operations.
What To Expect In This Role (Responsibilities) Automation & Integration: Develop Python components, Terraform modules, and pipelines to integrate and automate various tools and processes.
API & System Orchestration: Promote the use of APIs from distinct systems to extract and update data, trigger and monitor processes, and help tie infrastructures together.
Cloud Reliability & Operations: Deploy, maintain, and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect.
Data Modeling & Documentation: Help create Data Models, technical documents, and best practices for our users.




DataOps Best Practices & Innovation: Develop policies, processes, and best practices regarding DevOps and DataOps.
You will also help identify opportunities, generate innovative solutions, and improve existing product features.
Requirements Development & Scripting: Strong proficiency in Python and bash, and fluency in SQL as a second language.
Data Ecosystems & Pipelines: Deep familiarity with databases, data warehouses, and data lakes, as well as being adept at data pipelines and process improvement.
Cloud & Tooling Mastery: Strong knowledge of AWS environments, including EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, and EKS.
Must also be familiar with modern development tools like Terraform, GitHub, Docker, and dbt.
Mindset & Ws and priorities
Availability to work Monday-Friday during U.S. Eastern Time business hours
Preferred Qualifications
Hands-on experience with GoHighLevel (GHL)
Experience with Instantly, Clay, n8n, or similar automation platforms
Experience building AI-powered prospecting or sales workflows
Background in LegalTech, professional services, or B2B sales
Experience coordinating professional screening, vetting, or onboarding
How Success Is Measured
Within the first 30 days,



the primary performance target is:
15 qualified attorney meetings per week for the Account Executive.
Additional success indicators include:
Consistent outbound activity and timely prospect follow-up
Accurate CRM records and clear pipeline visibility
Strong booking conversion and meeting attendance rates
Early identification and resolution of funnel bottlenecks
Effective use of AI and automation to improve operational efficiency
Why Join Us?
$2,200 USD/month fixed compensation
Potential performance bonuses, to be discussed after the first quarter of work
Fully remote opportunity from Latin America
Major U.S. holidays observed, following the company's working calendar
Monday-Friday schedule aligned with U.S. Eastern Time
Opportunity to work with modern sales technology, CRM systems, and AI
Direct impact on the growth of an innovative U.S.-based LegalTech company
Important Notes
This position requires a combination of hands-on business development and sales operations expertise.
Candidates must be comfortable directly engaging prospects while also managing CRM systems and improving workflows.
GoHighLevel experience is preferred, not mandatory.
Strong experience with HubSpot, Salesforce, or a comparable CRM is acceptable.
Candidates who are uncomfortable with technology or lack practical experience using AI tools are unlikely to be a strong fit.
Performance bonuses are not guaranteed and may be discussed after the first three months.
This is a remote/telecommute position.
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