[{"Salary":null , "Posting_Title":"Product QA Engineer - SAR EO Image Validation" , "Is_Locked":false , "City":"Bengaluru" , "Industry":"Aerospace Defence","Job_Description":"

About GalaxEye

GalaxEye is a Space-Tech startup pioneering the worlds first Multi-Sensor Earth Observation Satellite, integrating SAR (Synthetic Aperture Radar) and MSI (Multi-Spectral Imaging) on a single platform. As we move towards building a constellation of indigenous satellites, we are also developing advanced data platforms that fuse satellite data, AI analytics, and geospatial intelligence.

About the role

We are seeking a QA/QC Engineer responsible for the structured testing and validation of SAR and EO imagery products, AI/ML model outputs, and the associated image analysis applications.

This is a testing-first role with end-to-end ownership of product QA, responsible for:

- Validation of SAR/EO imagery and AI/ML model outputs

- End-to-end application and workflow testing

- Smoke, functional, exploratory and regression testing across releases

- Structured defect tracking and verification

- QA automation, reporting and release validation

- Maintaining repeatable, audit-ready QA processes

The role is expected to operate independently from development and processing teams, providing an objective assessment of product quality and release readiness.

Key Responsibilities

A. Image Model Output Validation

Inspect SAR and EO imagery for distortions, inconsistencies and other quality issues.

Validate model outputs including detections, classifications, annotations and overlays against defined benchmarks.

Identify false positives, missed detections, localization errors and recurring model failure patterns.

Perform regression validation when models, processing pipelines or module configurations are changed.





Provide structured QA inputs and independent assessment of release readiness prior to internal release or customer delivery.

B. End-to-End Product Release Testing

Test complete image analysis workflows from data ingestion through processing, analysis and visualization.

Validate application functionality, UI workflows, overlays, annotations, layers and analysis outputs.

Perform functional, smoke, exploratory and regression testing across standalone and server-based product versions.

Maintain reusable smoke and regression test suites to support frequent product releases.

Verify fixes and ensure changes do not introduce regressions elsewhere in the system.

C. Test Planning and Automation

Develop and continuously improve structured test cases, regression suites, checklists and QA workflows covering imagery, model outputs and application functionality.

Identify gaps in test coverage, tooling and processes and implement improvements to increase QA efficiency and coverage.

Identify repetitive QA activities suitable for automation and build Python-based scripts and utilities where feasible.

Maintain reusable test templates and frameworks to support rapid release cycles.

D. Defect and Issue Management

Identify, document and classify defects with clear reproduction steps, evidence, severity and priority.

Track defects through resolution, retesting and closure.

Maintain structured visibility of issues by product version, module, defect type,



status and customer/deployment location.

Track recurring, unresolved and deferred issues across releases and highlight systemic quality concerns.

E. QA Reporting Documentation

Maintain structured reports for feature, smoke, regression and release testing.

Maintain test cases, execution records, checklists, defect logs and supporting evidence.

Establish reusable reporting templates to support rapid release cycles and consistent QA practices.

Generate summaries of open issues, recurring defects, regression status and release readiness.

Ensure QA results are reproducible, traceable and audit-ready, including support for customer-facing quality documentation.

Requirements

Required Qualifications:

Bachelors/Masters degree in Remote Sensing, Geoinformatics, GIS, Physics, Electrical Engineering, Computer Science or a related field.

23 years of experience in QA/testing roles, preferably involving image, data-heavy or software products.

Experience with manual, functional, regression and end-to-end testing.

Experience or familiarity with SAR and/or Electro-Optical imagery analysis.

Familiarity with image analysis/GIS tools such as QGIS, SNAP, ENVI or equivalent.

Basic Python scripting skills for test automation and data validation.

Strong documentation, reporting and defect-tracking skills.

Solid analytical thinking, attention to detail and systematic problem-solving ability.

Preferred:

Experience testing AI/ML-based image analysis or computer vision outputs.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Product QA Engineer - SAR (Bengaluru)
🏢 GalaxEye Space
📍 Bengaluru