Design, code, test, and deploy software for large-scale, distributed systems.
Build backend services, APIs, and automation tools for conversational AI workflows.
Maintain high standards for code quality, scalability, and performance.
Participate in defining system architecture, data models, and integration layers.
Apply object-oriented design, data structures, and algorithms to solve complex problems.
Develop solutions for low-latency, fault-tolerant, and highly available systems.
Collaborate with machine learning engineers, data scientists, product managers, and UX teams.
Translate product ideas and user experience goals into technical implementations.
Participate in code reviews, technical discussions, and mentoring junior engineers.
Contribute to Amazon’s conversational intelligence frameworks.
Identify opportunities to optimize performance, reduce latency, and enhance accuracy.
Stay updated on advancements in AI, NLP, and speech technology.
Own and maintain production services with strong monitoring and alerting.
Work with DevOps and SRE teams to ensure uptime and reliability.
Automate deployment and testing using CI/CD pipelines.
Full medical coverage for employee + eligible dependents from day 1.
Access to mental health support (Employee Assistance Program – EAP) including counselling for employees and their children.
Wellness programs (tele-consultation, preventive health) as part of the benefits package.
Paid time off including annual leave, sick leave, casual leave.
Parental leave (maternity/paternity) supported; adoption leave and caregiver leave also available in many cases.
Access to learning and development programs, online training, certification support
Internal mobility opportunities and mentorship programs.
Amazon started as an online bookstore and grew into the world’s largest e-commerce platform. Today, it operates across multiple sectors: E-commerce: Online marketplace selling everything from books to electronics, clothing, groceries, etc.... Read More