GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED - Product QA Engineer - SAR & EO Image Validation

QA Engineer is needed in Bengaluru, India.

Client: GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED

Location: Bengaluru, KA, in

Contract: Freelance

Job Description

GalaxEye is a Space-Tech startup pioneering the world’s 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.

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.

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:

• Bachelor’s/Master’s degree in Remote Sensing, Geoinformatics, GIS, Physics, Electrical Engineering, Computer Science or a related field.
• 2–3 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.
• Strong analytical thinking, attention to detail and systematic problem-solving ability.

Preferred:

• Experience testing AI/ML-based image analysis or computer vision outputs.
• Exposure to model accuracy validation, benchmarking or dataset QA.
• Experience building automated QA or regression testing utilities.
• Familiarity with version-controlled release testing.
• Experience testing standalone and server-based applications.
• Experience supporting customer deployments, UAT, acceptance testing or audit processes.
• Experience in startup or fast-iteration product environments.
• Familiarity with geospatial, satellite imagery, remote sensing or defence applications.

Benefits

• Hands-on experience working with SAR, EO imagery and AI-driven image analysis.
• Opportunity to own and build QA processes, test frameworks, and automation for a growing product.
• Exposure to end-to-end product testing, rapid release cycles, customer deployments, and audit-ready QA.
• Work at the intersection of software, geospatial technology, computer vision and space-tech.
• High ownership and the opportunity to influence product quality directly and release readiness.