SDE III - Backend at Sun King

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

0.0

Posted On

27 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Spring Boot, Python, SQL, AWS, Microservices, System Design, RAG, LLM, Vector Databases, Docker, Kubernetes, Kafka, RabbitMQ, AI Agents, REST APIs

Industry

Renewable Energy Semiconductor Manufacturing

Description

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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Responsibilities

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.