Coderio designs and delivers scalable digital solutions for integral 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 & Work Style
Ability to thrive in an environment with constant and quick iterations, consistently seeking out creative solutions to challenging problems.
Must have strong attention to detail.
Autonomy & Collaboration
Ability to work collaboratively while also being capable of owning a project
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