Summary
✨ AI‑Generated
A backend engineering role responsible for designing, implementing, and scaling core services and APIs for high-traffic applications. The position combines distributed systems, REST and GraphQL APIs, relational and NoSQL databases, cloud infrastructure, automated testing, CI/CD, and Infrastructure as Code.
Highlights
Own scalable backend services for high-traffic products, work with modern cloud and database technologies, and contribute to reliability, architecture, automation, and technical design.
Description
About The Role
The role owns the design, implementation, and scaling of core backend services and APIs that power high-traffic user-facing products.
You will collaborate closely with frontend engineers, product managers, and infrastructure teams to build reliable, low-latency distributed systems.
Key Responsibilities
Design and develop scalable REST and GraphQL APIs using Node.js, Python, or GoArchitect and optimize relational and NoSQL database schemas using PostgreSQL, Redis, and DynamoDBEnsure system reliability, high availability, and low latency across all backend services deployed on AWS or GCPImplement comprehensive automated testing, CI/CD pipelines, and infrastructure-as-code using TerraformMonitor application performance, debug production incidents, and participate in an on-call rotationWrite clean, maintainable, well-documented code and actively participate in technical design and code reviews
What We Are Looking For
3–6 years of professional backend software engineering experience building distributed systems at scaleStrong proficiency in at least one backend language (Python, Node.js, Go) and solid understanding of asynchronous programmingHands-on experience with relational databases (PostgreSQL/MySQL), caching layers (Redis), and message queues (Kafka/RabbitMQ)Proven experience deploying and managing containerized applications using Docker and Kubernetes in cloud environmentsBS or MS in Computer Science, related technical field, or equivalent practical experienceBonus: Experience with event-driven architectures, GraphQL, and performance profiling of high-throughput services
