SDE-I (Backend / Full Stack Engineer) | 1–2 Years Experience | ₹25–40 LPA

Join a fast-growing AI-driven cybersecurity startup building next-generation systems to help enterprises adopt AI securely and confidently. This is an opportunity to work at the intersection of AI, cloud infrastructure, backend engineering, and scalable distributed systems. As an early engineering hire, you will work closely with highly experienced founders and engineers to build production-grade platforms powering AI security and infrastructure. The environment is fast-moving, deeply technical, and built for people who enjoy solving complex engineering problems with ownership and curiosity. We’re looking for engineers with a high-IQ, low-ego mindset who care about writing clean code, shipping fast, and continuously learning. What You’ll Work On

• Design, build, and maintain scalable backend systems and APIs
• Develop cloud-native services using Python or Golang
• Work on infrastructure supporting AI model operations and distributed systems
• Build and optimize RESTful APIs for high-performance applications
• Collaborate across backend, frontend, infrastructure, and product teams
• Improve system reliability, scalability, and deployment workflows
• Work with SQL and NoSQL databases to manage large-scale data efficiently
• Participate in production deployments, debugging, monitoring, and performance optimization
• Contribute to DevOps improvements and CI/CD automation
• Continuously improve code quality, architecture, and engineering standards Technical Requirements Core Skills
• 1–2 years of strong software engineering experience
• Strong proficiency in Python (FastAPI/Django/Flask) or Golang
• Solid understanding of backend development and API architecture
• Experience building and consuming RESTful APIs
• Good understanding of databases such as PostgreSQL, MySQL, MongoDB, or Redis
• Familiarity with React or modern frontend frameworks is a plus
• Understanding of Git workflows and software development best practices Infrastructure & Cloud
• Hands-on experience with Docker and Kubernetes
• Familiarity with AWS, GCP, or Azure
• Exposure to CI/CD pipelines and deployment workflows
• Understanding of distributed systems and microservices architecture is preferred Nice to Have
• Experience with Kafka, RabbitMQ, or asynchronous processing systems
• Exposure to AI/ML infrastructure or model deployment workflows
• Familiarity with event-driven systems or serverless architecture
• Understanding of backend security best practices
• Contributions to open-source projects or technical communities Who You Are
• Strong problem solver with solid engineering fundamentals
• Comfortable working in fast-paced startup environments
• Curious, adaptable, and eager to learn new technologies
• Able to take ownership and work independently when needed
• Team-oriented with strong communication and collaboration skills