Description :

Role Overview :

We are looking for a highly skilled Computer Scientist II to design and build scalable, distributed systems powering next-generation platforms and AI-driven applications. The ideal candidate should possess strong backend engineering expertise, hands-on experience with cloud-native architectures, and exposure to modern Generative AI technologies.

This role offers the opportunity to work on high-scale systems, complex engineering challenges, and cutting-edge AI-powered solutions in a collaborative and innovation-driven environment.

Key Responsibilities :

- Design, develop, and optimize large-scale distributed systems with high availability, scalability, and reliability

- Architect and build backend services and microservices-based applications using modern engineering practices

- Develop and maintain cloud-native applications on AWS, Azure, or GCP

- Work with Kubernetes and containerized environments for deployment, orchestration, and scaling

- Contribute to the design and implementation of Generative AI solutions, including :

1. LLM-powered applications

2. Retrieval-Augmented Generation (RAG) systems

3. Conversational AI platforms

- Collaborate with cross-functional teams including product, platform, and AI/ML teams to deliver high-impact solutions

- Drive technical design discussions, architecture reviews, and engineering best practices

- Optimize system performance, observability, reliability, and operational efficiency

- Mentor junior engineers and contribute to a strong engineering culture

Required Skills & Experience :

- Bachelors or Masters degree in Computer Science or a related field

- 7-9 years of experience in software engineering with strong focus on backend and distributed systems

- Strong programming expertise in :

1. Java, Python, or similar backend technologies

- Proven experience designing and building :

1. Distributed systems

2. Scalable backend platforms

3. Microservices architectures

- Hands-on experience with :

1. Cloud platforms (AWS / Azure / GCP)

2. Kubernetes & container orchestration

- Experience working with Generative AI technologies, such as :

1. Large Language Models (LLMs)

2. RAG architectures

3. Conversational AI systems

- Strong understanding of :

1. System design principles

2. APIs and asynchronous systems

3. Scalability, performance, and reliability engineering

- Excellent analytical, problem-solving, and collaboration skills