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 (POCs) for new products, features, and 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.
  
  

AI Strategy & Architecture

• Lead the establishment and evolution of 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, providing technical direction on their adoption and integration within the organization.
  
  
• Mentor and guide engineers on backend architecture, AI system design, and implementation best practices to foster AI expertise across the team.
  
  

Preferred Qualifications (Good to Have)

• 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.
  
  
• Experience working with vector databases and embeddings.
  
  
• Experience building internal developer productivity or operational automation tools.
  
  
• Exposure to Model Context Protocol (MCP) or similar tool integration patterns.
  
  
• A strong interest in emerging technologies and a commitment to continuous learning and experimentation
  
  

• Strong experience in designing and developing scalable REST-based microservices and APIs using Java (Spring Boot) and Python.
  
  
• Strong experience with SQL, database design, and query optimization.
  
  
• Experience working with AWS services such as EC2, RDS, and Lambda.
  
  

Applied AI & Automation

• Hands-on experience building AI-powered applications or workflows in production environments.
  
  
• Practical understanding of Retrieval-Augmented Generation (RAG) architectures and their application to business problems.
  
  
• Experience designing and building AI agents, copilots, workflow assistants, or intelligent automation systems.
  
  
• Understanding of tool-calling, context management, prompt design, structured outputs, and hallucination mitigation techniques when integrating LLMs with business systems, APIs, and databases.
  
  
• Ability to design end-to-end AI-powered solutions that effectively combine deterministic systems with LLM-driven reasoning.
  
  

Leadership & Collaboration

• Prior experience mentoring engineers and leading technical initiatives
  
  

• Professional growth in a dynamic, rapidly expanding, high-social-impact industry
• An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
• A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
• Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.