Backend Engineer

‍POSITION

As a Backend Engineer at Codeway, you will design and implement the scalable systems that power products used by millions. You won’t just write code; you will own features end-to-end—from initial system design and AI integration to deployment and production monitoring. Our environment is fast-paced, and we value engineers who can turn complex architectural challenges into simple, elegant, and maintainable solutions.

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WHAT YOU’LL BE DOING

·     Design & Implement Scalable Systems: Build high-performance backend architectures for mobile and web clients using Node.js and Python.

·     Own End-to-End: Take full responsibility for the lifecycle of your services—ideation, implementation, deployment (GCP/Firebase), and continuous optimization.

·     AI & Media Integration: Integrate LLMs and media workflows (STT/TTS, image/video/audio processing). You’ll manage model serving, inference performance, and the latency/cost tradeoffs involved.

·     Architect Async Workflows: Implement robust event-driven systems using queues and tasks to handle heavy media and AI workloads.

·     Simplify Relentlessly: Evaluate every component and process. Your mission is to strip away unnecessary complexity to build minimalist, future-proof architectures.

·     Optimize Performance: Proactively identify bottlenecks to improve latency, throughput, and costs.

·     Ensure Backend Quality: Establish robust error handling, security best practices, and end-to-end observability to ensure production reliability.

·     Collaborate: Partner with Cross-functional teams (Mobile, Product, DevOps and AI) to design and ship features that matter.

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WHAT YOU’LL BRING

·     Experience: 2+ years of professional experience as a Backend Engineer, with a track record of building consumer-facing products at scale.

·     Technical Excellence: Strong proficiency in Node.js and Python. You have a deep understanding of CS fundamentals, data structures, and algorithms.

·     Infrastructure Knowledge: Hands-on experience with Google Cloud Platform (GCP) and/or Firebase. You are comfortable with production debugging and observability habits.

·     System Design: A solid grasp of databases, API design and security best practices.

·     AI Familiarity: Experience deploying and optimizing AI models in production, including familiarity with external AI APIs and their performance considerations.

·     Communication: Proficiency in English with the ability to explain complex engineering decisions and trade-offs clearly to both technical and non-technical teams.

·     Education: A BS or MS in Computer Science or a related technical

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NICE TO HAVE:

·     Cloud Tooling: Experience with GCP specific tools like Pub/Sub, Cloud Run, GKE, BigQuery, or Cloud Functions.

·     Real-time Patterns: Familiarity with SSE or WebSockets for real-time communication.

·     DevOps Basics: Experience with Docker, Kubernetes, and CI/CD pipelines.

·     Event-Driven Systems: Experience with message brokers like Kafka, RabbitMQ, or SQS.

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