SDE 1 | US AI Security Startup | ₹25L - ₹40L+ | 1- 2 years

Join an AI startup backed by top Silicon Valley VCs with a mission to help enterprises embrace Gen AI by providing a layer of security, safety, and trust. The team is building advanced AI-driven systems designed to secure and scale the future of enterprise AI adoption.As a Software Engineer, you will play a key role across multiple areas of engineering including backend development, cloud infrastructure, AI operations, distributed systems, and production deployments. While the role has a strong backend focus, the environment requires engineers who are comfortable contributing across the stack and solving complex technical challenges in a fast-paced startup setup.This role is ideal for high-IQ, low-ego engineers who enjoy ownership, speed, and building impactful technology from the ground up.Key ResponsibilitiesDesign, develop, and maintain scalable backend systems and APIsBuild cloud-native applications using Python or GolangWork on infrastructure supporting AI operations and distributed systemsDevelop and optimize RESTful APIs for high-performance applicationsCollaborate with frontend, infrastructure, and product teams to deliver production-ready solutionsImprove scalability, reliability, and system performance across servicesWork with SQL and NoSQL databases to manage large-scale data efficientlyContribute to production deployments, debugging, monitoring, and operational improvementsSupport DevOps initiatives including CI/CD automation and cloud infrastructure enhancementsContinuously improve engineering standards, code quality, and architectureTechnical RequirementsCore Skills1–2 years of strong software engineering experienceStrong proficiency in Python (FastAPI/Django/Flask) or GolangSolid understanding of backend development and API architectureExperience building and consuming RESTful APIsGood understanding of PostgreSQL, MySQL, MongoDB, Redis, or similar databasesFamiliarity with React or frontend technologies is a plusStrong understanding of Git workflows and software engineering fundamentalsInfrastructure & CloudHands-on experience with Docker and KubernetesFamiliarity with AWS, GCP, or Azure environmentsExposure to CI/CD pipelines and deployment practicesUnderstanding of microservices and distributed systems architectureNice to HaveExperience with Kafka, RabbitMQ, or asynchronous processing systemsExposure to AI/ML infrastructure or model deployment workflowsFamiliarity with event-driven architecturesUnderstanding of backend security best practicesOpen-source contributions or strong side projectsWho You AreStrong problem solver with excellent engineering fundamentalsComfortable working in high-growth startup environmentsCurious, adaptable, and eager to learn quicklyAble to take ownership and work independentlyCollaborative with strong communication skillsPassionate about building scalable and impactful technologyEducationBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical fieldWhy JoinWork on cutting-edge AI and security challengesHigh ownership and visibility from day oneOpportunity to build large-scale systems from an early stageFast learning environment with exceptional growth opportunitiesCollaborate with highly experienced engineering and leadership teams