Remote Cloud engineer with 1 year Jobs – 125 Open Jobs Today

QA Engineer
Augusta Hitech Soft Solutions —Remote
- Remote
- Azure
- SQL
- Machine learning
Junior IT Recruiter
FyerX —Remote
- ₹1,50,000 - ₹2,50,000 a year
- Full-time
- Remote
- Azure
- English
- Java
- Work from home
10d
Senior Backend Engineer / Lead (.NET & Azure)
Nesa Software Pvt Ltd —Remote
- ₹10,00,000 - ₹30,00,000 a month
- Email
- Remote
- Azure
- Computer Science
- Software troubleshooting
Quick apply
8d
Edge Network Engineering Internship
Speedcast —Remote
- Part-time
- Remote
- Azure
- Computer Science
- AWS
Principal Enterprise AI Architect – Strategic Advisory & Governance
Prahartech —Remote
- ₹40,00,000 - ₹70,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- AWS
Quick apply
Senior Software Engineer
Qrusible —Remote
- ₹14,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Java
- SQL
- AWS
Quick apply
Engineering Manager
Astra, Inc. —Remote
- Full-time
- Remote
- Computer Science
- Master's degree
- Databases
GCP Data Engineer
Shreem Talent Bridge —Remote
- ₹2,00,000 - ₹28,00,000 a year
- Full-time
- Remote
- Salesforce
- SQL
- Mentoring
Quick apply
Site Reliability Engineer
Intelex —Remote
- Remote
- Azure
- Computer Science
- Windows
Snowflake Agent Engineer
Technology Next —Remote
- ₹80,000 - ₹1,10,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Software Development Engineer III - Users
HighLevel —Remote
- Remote
- SQL
- JavaScript
- APIs
Lead Security Engineer (Cloud Security & Architecture)
HighLevel —Remote
- Full-time
- Remote
- Azure
- AWS
- JavaScript
SCCM L3 Engineer
Atidan Technologies —Remote
- Remote
- Microsoft Access
- Azure
- Windows
Full-Stack Developer - C#/React
PanApps —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Databases
Backend Engineer - Node.js - Senior
Spark Eighteen —Remote
- Full-time
- Remote
- System design
- Databases
- APIs
- Health insurance
Senior Data Engineering cum Architecture
Ashapura Softech Pvt. Ltd. —Remote
- ₹1,00,000 - ₹1,40,000 a month
- Remote
- Azure
- SQL
- AWS
- Work from home
Quick apply
12d
Engineering Manager
Veltris —Remote
- Full-time
- Remote
- Oracle
- DevOps
- System design
Senior Data Engineer
FinStrat Management —Remote
- Full-time
- Remote
- ERP systems
- English
- Master's degree
Quick apply
Parametric Engineer (Remote, Full-Time) [AS310]
Smart Working Solutions —Remote
- Full-time
- Remote
- Azure
- AWS
- Math
- Health insurance
Quick apply
14d
Staff Engineer - Platform Engineering
HighLevel —Remote
- Remote
- APIs
- AI
- SDLC

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QA Engineer

Augusta Hitech Soft Solutions
Remote

Apply Now

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

cloud engineer with 1 year jobs in remote

QA Engineer

Junior IT Recruiter

Senior Backend Engineer / Lead (.NET & Azure)

Edge Network Engineering Internship

Principal Enterprise AI Architect – Strategic Advisory & Governance

Senior Software Engineer

Engineering Manager

GCP Data Engineer

Site Reliability Engineer

Snowflake Agent Engineer

Software Development Engineer III - Users

Lead Security Engineer (Cloud Security & Architecture)

SCCM L3 Engineer

Full-Stack Developer - C#/React

Backend Engineer - Node.js - Senior

Senior Data Engineering cum Architecture

Engineering Manager

Senior Data Engineer

Parametric Engineer (Remote, Full-Time) [AS310]

Staff Engineer - Platform Engineering

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