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Python
DjangoWe 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 6 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Role Overview
We are looking for a hands-on DevOps Engineer who will own infrastructure, deployment, reliability, and cloud cost optimisation. You will work closely with backend, AI, and product teams to ensure the platform is secure, scalable, and always available.
This is a high-ownership role with real impact on uptime, performance, and developer velocity.
Key Responsibilities
Infrastructure & Cloud Management
- Design, deploy, and manage cloud infrastructure (GCP preferred; AWS acceptable)
- Manage Compute Engine, Cloud Run, Kubernetes (GKE), Cloud SQL, storage, and networking
- Ensure high availability, fault tolerance, and scalability
CI/CD & Deployment
- Build and maintain CI/CD pipelines for backend and AI services
- Automate deployments, rollbacks, and environment management (dev, staging, prod)
- Improve release reliability and deployment speed
Monitoring, Reliability & Security
- Set up monitoring, alerting, and logging (uptime, CPU, memory, errors, latency)
- Proactively identify and resolve performance bottlenecks and incidents
- Implement security best practices: IAM, secrets management, backups, and access controls
Cost Optimisation & Performance
- Monitor and optimise cloud costs (compute, databases, storage)
- Implement autoscaling, right-sizing, and resource optimisation
- Work with engineering teams to balance performance with cost efficiency
Required Qualifications & Skills
- 3–6 years of hands-on DevOps / Cloud Engineering experience
- Strong experience with GCP (or AWS with willingness to transition)
- Experience with Docker, Kubernetes, and containerised workloads
- Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
- Ability to troubleshoot production issues under pressure
- Experience with AI/ML workloads and GPU-based deployments
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonDjangoAbout the role
Webnyay is looking for an experienced Backend Developer to build and scale reliable backend systems for our legal tech platform. You will work on core product architecture, high-performance APIs, and cloud-native services that support AI-driven workflows and large-scale data processing.
Responsibilities
- Develop backend services using Python, Django, and FastAPI
- Build scalable APIs and microservices for product features
- Implement event-driven and asynchronous workflows using Kafka
- Design and maintain backend integrations and data pipelines
- Deploy and manage services on Google Cloud Platform (GCP)
- Ensure performance, security, and reliability of backend systems
- Collaborate with product and engineering teams to deliver production-ready features
Requirements
- 4+ years of backend development experience
- Strong proficiency in Python
- Hands-on experience with Django and FastAPI
- Experience working with Kafka or similar messaging systems
- Working knowledge of GCP and cloud-based deployments
- Solid understanding of backend architecture and API design
- Experience with databases and production systems
- Experience building SaaS or platform-based products
- Exposure to AI-driven or data-intensive applications
Why Webnyay
- Build technology that improves access to justice
- Work on real-world, high-impact legal tech problems
- Collaborative and ownership-driven work culture
- Opportunity to grow with a fast-scaling startup
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