
Full Stack Engineer – Go, React
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in United States.
• Design, develop, and maintain robust, secure, and high-performance backend services, REST APIs, and microservices utilizing Golang.
• Create responsive, reusable, and user-centric web applications employing React and contemporary frontend development methodologies.
• Seamlessly integrate frontend applications with backend services, third-party APIs, and enterprise systems.
• Develop and enhance cloud-native applications and distributed systems.
• Write clean, maintainable, and testable code.
• Engage in code reviews, automated testing, debugging, and performance enhancement.
• Support CI/CD pipelines, application deployments, monitoring, logging, and troubleshooting in production environments.
• Identify and resolve technical challenges while optimizing application performance.
• Contribute to ongoing improvements throughout the development lifecycle.
• Collaborate with product, architecture, security, and engineering teams to deliver comprehensive end-to-end solutions.
• Employ approved AI-assisted development tools when appropriate to enhance productivity and code quality.
• Over 5 years of professional software development experience.
• A minimum of 3 years of practical experience in developing frontend applications using React.
• At least 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.
• Experience with relational or NoSQL databases, Git, CI/CD pipelines, and automated testing.
• Knowledge 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 frameworks.
• Experience with event-driven architectures and messaging platforms, such as Kafka.
• Exposure to conversational AI, chatbot applications, or AI-driven solutions.
• Understanding of real-time communication, voice integrations, or telephony technologies.
• Experience with monitoring, logging, and observability tools.
• Familiarity with third-party AI/ML integrations or generative AI solutions.
• Health insurance.
• Language courses.
• Relocation program.
• Remote work flexibility.
• Opportunities for professional development.
• Certification programs.
• Mentorship and talent investment initiatives.
• Internal mobility prospects.
• Internship opportunities.
• Collaboration on impactful projects for leading global clients.
• An inclusive and supportive work environment with open communication.
• Regular team-building social events.
• Commitment to sustainable business practices focusing on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
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