Senior Software Engineer Technical Lead
7 days ago
We are looking to recruit an expert for backend software development at Webnyay. We are an enterprise SaaS startup catering to India and international markets. We are now growing fast and need a rockstar senior software developer who is an expert in Python/Django and GCP.
What we are looking for:
- At least 5 years of professional software development experience.
- At least 4 years of experience with Python & Django.
- Proficiency in Natural Language Processing (tokenization, stopword removal, lemmatization, embeddings, etc.)
- Experience in computer vision fundamentals, particularly object detection concepts and architectures (e.g., YOLO, Faster R-CNN)
- Experience in search and retrieval systems and related concepts like ranking models, vector search, or semantic search techniques
- Experience with multiple databases (relational and non-relational).
- Experience with hosting on GCP and other cloud services.
- Familiar with continuous integration and other automation.
- Focus on code quality and writing scalable code.
- Ability to learn and adopt new technologies depending on business requirements.
- Prior startup experience will be a plus
Some of your responsibilities would include:
- Work closely in a highly AGILE environment with a team of engineers.
- Create and maintain technical documentation of technical design and solution.
- Build products/features that are highly scalable, secure, highly available, high performing and cost-effective.
- Help team in debugging.
- Perform code reviews.
- Understand the full feature set/ implementation and architecture of the applications.
- Analyze business goals and product requirements and contribute to application architecture design, development and delivery.
- Provide technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support.
- Act as an Interface with business teams to understand and create technical specifications for workable solutions within the project.
- Explore and work with LLM APIs and Generative AI.
- Make performance-related recommendations, identify and eliminate performance bottlenecks (hardware, software, configuration); drive performance tuning, re-design and re-factoring.
- Participate in the software development lifecycle, which includes research, new development, modification, security, reuse, re-engineering and maintenance of common component libraries.
- Participate in product definition and feature prioritization.
- Collaborate with internal teams and stakeholders across business verticals.
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