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Senior (8+ years) niche cloud-geospatial role reduces applicant density despite Bangalore metro and company recognition.
Cloud architecture skills transferable, but geospatial and domain-specific model experience increases domain sensitivity.
Explicit 8+ years overall, 4+ years architecture, and required AWS/geospatial tech stack makes filters strict.
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Design and implement scalable cloud-based solutions focused on geospatial data processing, including API development and app integration on AWS.
Lead architecture of secure data pipelines and payment systems, ensuring alignment with real-world datasets and remote sensing integration.
Collaborate across R&D, data engineering, and application teams to optimize systems and mentor engineering teams for scalable project delivery.
Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
Minimum 4 years in solution architecture or similar role, with total experience of 8+ years.
Proficiency in AWS cloud services, API design (RESTful and GraphQL), and programming languages including Python, Node.js, TypeScript, and ReactJS.
Experience with databases including PostgreSQL, DynamoDB, Firebase, and knowledge of geospatial data processing and pipeline orchestration.
Experienced in designing scalable, distributed cloud architectures handling geospatial and large-scale data systems.
Technically adept in full-stack development and integration with strong cross-team collaboration and mentorship capabilities.
Strategic thinker capable of translating business requirements into reliable technical solutions with a focus on security, performance, and innovation in climate tech domain.