About us

At

Softbinator Technologies , we’re driven by innovation and excellence. As an engineer here, you’ll be working on

high-impact projects

that challenge the status quo and push the boundaries of technology. This is a place where you’ll

tackle real-world problems , collaborate with

exceptionally talented engineers , and build

cutting-edge solutions

that have a tangible impact.
Joining Softbinator means not only shaping the future of technology but also working closely with

top-tier, innovative companies worldwide. You'll have the opportunity to contribute to

groundbreaking projects with global reach.

What we are looking for

A

Senior QA Automation Engineer

with deep expertise in automating and validating

data-intensive and AI-powered systems. You’ll play a critical role in ensuring the

reliability, accuracy, and scalability

of data pipelines, AI workflows, and model validation processes. If you thrive at the intersection of data engineering, AI, and quality assurance, and enjoy building robust automation frameworks in Python, this is the role for you.

With these skills, you are our perfect match

5+ years

of experience in QA automation or test engineering, especially within

data engineering

or

AI-driven systems
Strong proficiency in

Python ,

Py Test , or similar test frameworks
Experience testing AI/ML applications, inference pipelines, and automated

ETL validation
Hands-on with

Databricks ,

Snowflake , and

cloud-based data platforms
Familiar with

Azure Dev Ops , CI/CD workflows, and

automated testing pipelines
Solid understanding of

API testing

tools (Postman, Rest Assured, etc.)
Experience with

data quality validation , schema enforcement, and data integrity testing
Knowledge of

Sonar Cloud

or similar static code analysis tools
Excellent debugging and troubleshooting skills in

AI

and

big data environments
High attention to detail and a strong sense of ownership over product quality

How you’ll drive success

Design and implement

automated testing frameworks

for AI workflows and data pipelines
Build and maintain test scripts for

data validation ,

transformation checks , and

AI model evaluation
Ensure

end-to-end regression coverage

for evolving pipelines and workflows
Validate AI inference output,

data enrichment accuracy , and

vector database searches
Integrate automated test suites into

CI/CD pipelines

using Azure Dev Ops
Monitor and enforce

code quality standards

using Sonar Cloud
Conduct

performance, load, and security testing

for high-scale pipelines and endpoints
Ensure

data compliance

(e.g., GDPR, CCPA) and test data privacy practices

Nice to have

Experience with

Open AI API

and evaluation testing
Familiarity with

ETL pipeline testing

and database validation
Knowledge of

SFTP-based data exchange testing
Exposure to

vector databases

(e.g., FAISS, Pinecone)
Awareness of

data security

and compliance regulations