Backend Golang Developer
3 days ago
Position : Backend Developer
Experience : 4 - 8 Years
Location : Bengaluru (On-Site)
About Airlearn
Airlearn is building the next generation of AI-powered language learning solutions. Our mission is to create immersive, personalized, and scalable learning experiences through cutting-edge technology. Join our fast-paced team and shape the future of edtech with innovation and impact.
Role Overview
We are looking for a skilled Backend Developer (GoLang) to join our engineering team. In this role, you will design and develop high-performance, scalable backend systems and APIs that power Airlearns platforms. You will collaborate with cross-functional teams to deliver robust solutions that delight learners.
Key Responsibilities
- Design, develop, and maintain backend services using GoLang.
- Build and optimize RESTful APIs and microservices for web and mobile platforms.
- Ensure systems are scalable, secure, and high-performing.
- Collaborate with frontend, DevOps, and product teams for feature delivery.
- Write clean, efficient, and well-documented code.
- Conduct code reviews and provide mentorship to junior developers.
- Troubleshoot, debug, and resolve production issues efficiently.
Required Skills & Qualifications
- 4–8 years of backend development experience.
- Strong proficiency in GoLang (mandatory).
- Solid understanding of REST APIs, microservices, and distributed systems.
- Experience with relational and NoSQL databases (PostgreSQL, MongoDB, etc.).
- Familiarity with Docker and CI/CD pipelines.
- Proficiency with Git and version control systems.
- Strong problem-solving skills with a proactive approach.
Preferred Skills (Good to Have)
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with Kubernetes.
- Exposure to message brokers (Kafka, RabbitMQ).
Why Join Airlearn?
- Be part of an AI-first edtech startup creating real impact in language learning.
- Work in a collaborative, innovative, and learning-driven culture.
- Opportunity to solve challenging engineering problems at scale.
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