SDE III - Backend

Design, build and integrate scalable and reliable backend systems based on business and product requirements.

Identify and resolve bottlenecks, bugs, and operational issues.

Drive improvements in scalability, performance, reliability, observability, and cost optimization.

Create prototypes and proof-of-concepts for new products and features and do POC to validate new AI initiatives.

Take complete ownership of projects from design through deployment and production support.

Collaborate closely with Product Managers, Business Analysts, QA teams, and other engineering teams.

Lead the establishment and evolution of Sun King's AI Engineering capabilities, including architecture, tooling, development standards, and best practices.

Define and drive the AI technology stack, ensuring scalable, secure, reliable, and cost-effective adoption of AI across engineering and business workflows.

Architect systems that combine LLMs, retrieval systems, business logic, databases, APIs, and operational tooling.

Evaluate emerging AI technologies, frameworks, and models, and provide technical direction on their adoption and integration within the organization.

Mentor and guide engineers on backend architecture, AI system design, and implementation best practices, fostering AI expertise across the team.

Experience with messaging systems such as RabbitMQ, Kafka, or Amazon SQS.

Experience with containerized deployments using Docker and Kubernetes.

Experience building retrieval systems, semantic search, or knowledge assistants.

Familiarity with agent frameworks and orchestration platforms.

Experience integrating AI systems with enterprise applications, operational tooling, or internal platforms.