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
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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