Back End Engineer

Job Description

About Us: TechBulls was founded in 2011 with an aim to help customers develop products using cutting edge technologies. Were a growing team of global experts that believe in the transformative power of evaluation and learning. We help bring our clients product vision to action. We do Software development and UX Design for Startups determined to lead in the digital.Our teams are working on some of the industry's most significant futuristic financial solutions, which are reshaping financial services and people's everyday lives throughout the world. Role Overview: As a Backend Engineer at you will be instrumental in designing and implementing robust, scalable, and secure backend systems that power our AI-driven applications. Key Responsibilities: Build & Own Core Services: Design, develop, and own robust, scalable backend microservices and RESTful APIs that form the backbone of our AI- powered platform. Ensure low-latency performance for high-throughput requests and efficient handling of large ML data payloads, primarily using Python/FastAPI, Node.js/TypeScript, or Go. Architect for Scale: Lead the architectural design and evolution of distributed backend systems. Create solutions that are inherently scalable, fault-tolerant, and maintainable, specifically optimized for demanding AI/ML ads. Optimize AI Infrastructure: Strategically select, implement, and manage AWS services (including specialized compute for ML, optimized storage solutions, databases, messaging queues like Kafka/SQS, caching) to create a cost-effective, high-performance foundation for our backend and AI pipelines. What We Look For: 3+ years Experience . Strong proficiency in backend programming, particularly Python and Node.js (experience with Go is also valuable). Demonstrable experience building systems that handle large datasets, real-time processing, or high throughput. Experience with message queuing systems (e.g., Kafka, RabbitMQ, SQS). Deep understanding of database technologies and query optimization. Hands-on experience with cloud platforms (AWS preferred) and their core services. Hands-on experience with containerization (Docker) and deploying/managing services in containerized environments (Kubernetes familiarity is a plus). Solid grasp of software engineering principles, data structures, algorithms, and distributed systems concepts.