Product QA Engineer - SAR & EO Image Validation

About GalaxEye 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. 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: ● 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.