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Product QA Engineer - SAR & EO Image Validation

GalaxEye Space Solutions
Bengaluru, IND
Full-time
Entry · 2+ years experience
Onsite
Discovered 1 weeks ago
QGISSNAPENVIPythonSARAI/ML
Free

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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, EOl 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.

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