
Full Stack Engineer – Go, React
Posted 5 hours ago

Posted 5 hours ago
This is a fully remote position, open to applicants in India.
• Create, develop, and sustain scalable, secure, and high-performing backend services, REST APIs, and microservices utilizing Golang.
• Construct responsive, reusable, and user-centric web applications employing React and contemporary frontend development methodologies.
• Integrate frontend applications with backend services, third-party APIs, and enterprise systems seamlessly.
• Design and enhance cloud-native applications and distributed architectures.
• Produce clean, maintainable, and testable code.
• Engage in code reviews, automated testing, debugging, and performance enhancements.
• Assist with CI/CD pipelines, application deployments, monitoring, logging, and troubleshooting in production environments.
• Identify and remedy technical issues while optimizing application performance.
• Contribute to ongoing improvements throughout the development lifecycle.
• Collaborate with product, architecture, security, and engineering teams to deliver comprehensive solutions.
• Utilize approved AI-assisted development tools when appropriate to enhance productivity and code quality.
• Minimum of 5 years of professional software development experience.
• At least 3 years of hands-on experience in developing frontend applications using React.
• Over 3 years of experience in Go programming, backend development, REST APIs, and microservices.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP) or Azure.
• Practical experience with distributed systems, API integrations, and application design.
• Knowledge of relational or NoSQL databases, Git, CI/CD pipelines, and automated testing.
• Understanding of application security, performance optimization, debugging, and production support.
• Strong analytical, problem-solving, communication, and collaboration abilities.
• Familiarity with Docker, Kubernetes, and cloud-native application architectures.
• Experience with event-driven architectures and messaging platforms like Kafka.
• Exposure to conversational AI, chatbot applications, or AI-driven solutions.
• Familiarity with real-time communication, voice integrations, or telephony technologies.
• Experience with monitoring, logging, and observability tools.
• Exposure to third-party AI/ML integrations or generative AI solutions.
• Health insurance.
• Language courses.
• Relocation program.
• Professional development opportunities.
• Certification programs.
• Mentorship and talent investment programs.
• Internal mobility opportunities.
• Internship opportunities.
• Remote work flexibility.
• Inclusive and supportive work environment.
• Open communication.
• Regular team-building company social events.
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