Senior Full Stack Software Engineer

15 hours ago

Alleppey, Kerala, India beBeeFullStack Full time US$ 1,80,000 - US$ 2,40,000
Key Senior Role in Full Stack Development

We are seeking a seasoned full stack software engineer to help us build cutting-edge software infrastructure for our AI-driven platform.

This is a hands-on role focused on building solutions by combining Python-based full stack development with scalable data engineering. You will be part of a team responsible for the development of dynamic web applications, scalable data pipelines, and high-performance backend services that drive better decision-making across the global transportation industry.

You will report to the CEO, who has 25 years of experience in trucking, and work closely with the CMO/Head of Product, who has 20+ years of experience in building and commercializing customer-focused digital platforms.

The ideal candidate will have 5+ years of professional software development experience, with a proven track record of building enterprise-grade, production-ready software applications for businesses or consumers. They will have required technology experience with the following technologies in a business context: Python as primary programming language, Pandas, Numpy, SQL, AWS and/or GCP cloud configuration / deployment, Git / GitHub, Snowflake, and/or Redshift or Big Query, Docker, Airflow, Prefect or other DAG orchestration technology, Front end engineering (e.g., HTML/CSS, JavaScript, and component-based frameworks).

The responsibilities of this role include designing and building full stack applications using Python, Streamlit, and modern web frameworks to power internal tools, analytics dashboards, and customer-facing products. The engineer will develop scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases. They will implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations. The engineer will integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers.

The successful candidate will define and evolve our data strategy and architecture, including schemas, governance, versioning, and access patterns across business units and use cases. They will implement DevOps best practices, including testing, CI/CD automation, and observability, to improve reliability and reduce technical debt. The engineer will ensure data integrity and privacy through validation, error handling, and secure design.

Note: This job description aims to provide an accurate representation of the role and requirements. However, it's not exhaustive and may be subject to change based on the company's needs and the individual's performance.

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