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Mid-level backend title with a 3-year range attracts broad applicants; startup brand slightly moderates density.
Core backend skills are transferable, but geoprocessing and ML pipeline requirements increase domain specificity.
Explicit 3-year requirement plus multiple backend, cloud, and DevOps skills create moderate filtering.
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Own end-to-end development and maintenance of backend systems, including internal tools and customer-facing products.
Ensure performance, reliability, and availability of hosted deep learning and geoprocessing services.
Lead and coordinate teams of junior developers, including code reviews and system design for new projects.
3 years of work experience with backend development (preferably Django) and software design/architecture.
Bachelor’s degree in Engineering, Tier-1 institute preferred.
Experience with distributed web services, data processing pipelines, and messaging services like Apache Kafka or RabbitMQ.
Familiarity with cloud services (AWS/GCP) and DevOps tools (Docker, Kubernetes, Jenkins, CI/CD).
Experienced in backend engineering with strong emphasis on building scalable, maintainable backend systems involving ML/AI pipelines or geoprocessing.
Capable of leading junior developers and translating product requirements into technical designs and code.
Comfortable working in startup environments with responsibility for end-to-end system ownership and deployment.