Description

As a Backend Engineer, you will design and scale backend systems that support millions of users while collaborating with various teams to deliver reliable, high-performance services for AI-driven products.

Requirements

• •BSc/BEng or Masters in Computer Science or equivalent
• •5+ years of professional backend engineering experience
• •Proficiency in Java (17+), Python, or Node.JS
• •Experience designing and scaling backend systems for millions of users or high-throughput real-time services
• •Solid understanding of cloud-native architectures, containerization, and orchestration
• •Strong background in high availability systems, failover, and resiliency design
• •Curious mindset with eagerness to learn and adapt
• •Excellent knowledge of observability practices
• •Strong communication skills in English
• •Knowledge of Java frameworks (Micronaut, Spring)
• •Python experience
• •Experience with distributed data systems
• •Exposure to LLM integration
• •Performance tuning and scaling experience in high-throughput environments
• •Familiarity with GitOps, CI/CD, IaC

Tasks

• •Design and build distributed backend systems
• •Scale systems to serve millions of users
• •Drive end-to-end feature delivery from design to monitoring
• •Architect real-time, low-latency APIs for AI systems
• •Develop cloud-native services in Java or Python
• •Ensure reliability, performance, and scalability of services
• •Work on AWS-based deployments and containerization
• •Utilize orchestration tools like Kubernetes or ECS
• •Build robust APIs for AI-driven products
• •Ensure resiliency and fault tolerance in high-throughput environments
• •Collaborate with product managers and infrastructure engineers
• •Contribute to technical discussions and share knowledge

Tools & Technologies

Benefits