Remote Automation engineer 2 technical support Jobs – 77 Open Jobs Today

QA Engineer
Augusta Hitech Soft Solutions —Remote
- Remote
- Azure
- SQL
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Principal Systems Engineer
Foundever —Remote
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SOC Lead, Professional Services Delivery Engineer IV - IN
Rackspace —Remote
- Full-time
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- Azure
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GCP Data Engineer
Shreem Talent Bridge —Remote
- ₹2,00,000 - ₹28,00,000 a year
- Full-time
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Quick apply
Sr. Staff Engineer - Payments & Commerce Platform
HighLevel —Remote
- Remote
- APIs
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1d
Network Engineer – L2+ (Juniper Routing & Switching)
InOpTra Digital —Remote
- Full-time
- Remote
- Oracle
- Analysis skills
- Bachelor's degree
Full-Stack Engineer (AI-Native Web, Automations & Integrations)
The Bluebox Group —Remote
- ₹6,00,000 - ₹9,00,000 a year
- Full-time
- Remote
- Software troubleshooting
- Master's degree
- Project management
- Paid time off
- Work from home
Quick apply
QA Tester – AI Observability & Monitoring
TestUnity —Remote
- ₹1,000 - ₹1,200 an hour
- Remote
- Computer Science
- Master's degree
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Quick apply
Senior DevOps Engineer
Mactores —Remote
- ₹15,00,000 - ₹35,00,000 a year
- Full-time
- Remote
- Azure
- DevOps
- Windows
- Health insurance
- Work from home
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Senior DevOps Engineer Automation/Configuration Management
MNJ Software —Remote
- Full-time
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- Azure
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Engineering Manager - Custom Objects Team
HighLevel —Remote
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Automation Lead
OpenBots Inc. —Remote
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- Azure
- Oracle
- Computer Science
Quick apply
Enterprise Solution Engineer
Sprinto —Remote
- Remote
- Azure
- AWS
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Quick apply
Senior Data Engineer
avilamb —Remote
- Up to ₹1,45,000 a year
- Full-time
- Remote
- Azure
- B.Sc
- Salesforce
- Paid time off
Quick apply
Strategic Cloud Engineer – GCP Platform & FinOps
Ontrac Solutions —Remote
- Rotational shift
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- Azure
- AWS
- Computer networking
Quick apply
Edge Network Engineer
Speedcast —Remote
- Full-time
- Remote
- Azure
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- Scripting
AI Growth Partner
Drytis —Remote
- ₹2,500 - ₹5,000 a month
- Part-time
- Remote
- Marketing
- English
- Bachelor's degree
- Work from home
- Flexible schedule
Quick apply
Senior Staff Engineer
Sprinto —Remote
- Remote
- Master's degree
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Quick apply
Senior Associate Technical Consultant | Cloud & AI | Platform Engineering
AHEAD —Remote
- Full-time
- Remote
- Azure
- AWS
- AI
- Health insurance
- Paid time off
Game Hosting Engineer
Ultahost, inc —Remote
- Full-time
- Remote
- Doctoral degree
- Master's degree
- Bachelor's degree
Quick apply

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automation engineer 2 technical support jobs near remote

QA Engineer

Augusta Hitech Soft Solutions
Remote

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Job details

Contractual / Temporary

Qualifications

CI/CD
Cloud infrastructure
Azure
Cloud architecture
Big data
Test automation
Git
SQL
Quality assurance
Machine learning
Continuous integration
GitHub
ETL
Software testing
Predictive analytics
Data science
AI
Python

Full job description

Required Skills: ETL Testing, Data Validation

Country: India
Job Overview

We are seeking a meticulous Senior QA Engineer / Data Validation Engineer to own the quality assurance, data integrity, and model validation processes for our enterprise Demand Forecasting platform.

Unlike traditional software testing, this role focuses heavily on data accuracy, pipeline reliability, and statistical outcome validation. You will work side-by-side with our Data Science and Data Engineering teams within Azure Databricks and Azure AI Foundry to ensure that data feeding our algorithms is flawless, pipelines are resilient, and the forecasted outputs match expected statistical and business boundaries.

Key Responsibilities

1. Data Integrity & Pipeline Validation
- Design, implement, and execute comprehensive test plans to validate complex ETL/ELT pipelines within Azure Databricks and Azure Data Factory.
- Write advanced SQL queries and Python validation scripts to verify data transformations, aggregations, schema conformance, and data completeness across Delta Lakes.
- Implement automated data quality checks, including missing time-series intervals, duplicate records, null values, and out-of-bounds historical data.
2. Machine Learning & Forecasting Outcome Testing
- Establish testing frameworks to validate model inputs, features, and forecast outputs generated by XGBoost, LSTM, and similar forecasting models.
- Validate model performance metrics, including MAPE, RMSE, and WAPE, against historical baselines to support regression testing of model updates.
- Verify the integrity of model artifacts, versioning, and endpoint deployments managed within Azure AI Foundry and MLflow.
- Design sanity-testing logic to catch forecast anomalies such as negative demand predictions, massive unexplained spikes, or flatline forecasts.
3. Test Automation & MLOps Integration
- Build and maintain automated testing suites using Python-based frameworks such as PyTest, Great Expectations, or Great Expectations integrated with Databricks.
- Integrate data quality testing and validation steps directly into CI/CD deployment pipelines using Azure DevOps or GitHub Actions.
- Monitor and audit model drift and data drift alerts in production environments.
Required Technical Skills & Qualifications
- Experience: 4+ years of experience in QA Engineering, Data Validation, or Big Data Testing, with exposure to validating Machine Learning or Predictive Analytics platforms. Time-Series / Demand Forecasting experience is a major plus.
- Strong Coding/Querying: Proficient in Python, specifically for data validation libraries, and expert-level SQL for data profiling and auditing.
- Big Data Platform: Hands-on experience executing tests and validating data directly within Azure Databricks using PySpark or SparkSQL.
- Cloud & AI Infrastructure: Familiarity with the Azure cloud ecosystem and tools such as Azure AI Foundry or MLflow to track how models are deployed and executed.
- Data Testing Frameworks: Experience with data quality frameworks such as Great Expectations, Deequ, or custom Python data-validation wrappers.
Preferred Competencies
- Analytical Mindset: Strong understanding of basic statistical concepts, including mean, variance, and error metrics such as MAPE, to effectively evaluate forecasting correctness.
- Detail-Oriented: Ability to trace data anomalies back to their root cause, whether it is a broken upstream data feed, an engineering logic error, or a model misconfiguration.
- Collaborative Communicator: Ability to clearly communicate data discrepancies and model anomalies to both technical data scientists and business analysts.
What We Offer
- A unique, highly technical QA role at the intersection of Big Data, Cloud Architecture, and Advanced AI.
- A collaborative environment where your work directly ensures the reliability of critical business-driving predictions.
- Competitive compensation, robust benefits, and exposure to cutting-edge MLOps methodologies.

Apply Now

Refine Your Search

automation engineer 2 technical support jobs in remote

QA Engineer

Principal Systems Engineer

SOC Lead, Professional Services Delivery Engineer IV - IN

GCP Data Engineer

Sr. Staff Engineer - Payments & Commerce Platform

Network Engineer – L2+ (Juniper Routing & Switching)

Full-Stack Engineer (AI-Native Web, Automations & Integrations)

QA Tester – AI Observability & Monitoring

Senior DevOps Engineer

Senior DevOps Engineer Automation/Configuration Management

Engineering Manager - Custom Objects Team

Automation Lead

Enterprise Solution Engineer

Senior Data Engineer

Strategic Cloud Engineer – GCP Platform & FinOps

Edge Network Engineer

AI Growth Partner

Senior Staff Engineer

Senior Associate Technical Consultant | Cloud & AI | Platform Engineering

Game Hosting Engineer

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