SDE III - Backend

 Posted 2 hours ago
  
 India
  
⭐ 5-10 years experience
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AI Summary

Design and implement scalable backend systems and AI-powered solutions to improve operational efficiency and automation. Lead the establishment of AI engineering capabilities, including architecture, tooling, and development standards.

SDE III - Backend

Department: Global Analytics and Technology

Employment Type: Permanent - Full Time

Location: India



Description

Job location: Remote

About the role:

The Senior Software Engineer - Backend will work as part of the Digitization and Automation team to design, develop, and implement scalable technology solutions that solve a wide variety of business problems across the organization.

This role is primarily a backend engineering role, requiring strong software engineering fundamentals, system design expertise, and ownership of business-critical applications. In addition, the engineer will play a key role in identifying, designing, and building AI-powered solutions that improve operational efficiency, automation, decision-making, and developer productivity across the organization.

The ideal candidate combines strong backend engineering experience with practical experience building AI-powered applications, agents, copilots, retrieval systems, and workflow automations. They should be comfortable evaluating where AI adds value, designing appropriate system architectures, and mentoring other engineers on AI-related engineering practices.


What you will be expected to do


  • 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.
  • 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.
  • Strong curiosity for emerging technologies and willingness to continuously learn and experiment.


You might be a strong candidate if you have/are

  • Strong experience in designing and developing scalable REST-based micro-services 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.
  • 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 combine deterministic systems with LLM-driven reasoning.
  • Prior experience mentoring engineers and leading technical initiatives.


What Sun King offers

  • 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.

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