Weekday AI
BackendDeveloper(Java/Golang)
Neural analysis suggests this role is
optimal for Mid candidates.
“Backend Developer (Java/Golang) at Weekday AI. Skills: Java, Golang, Microservices, Distributed systems. Design backend services. Develop backend services”
Industry & Context.
Problem-solving; Debugging; Analytical skills; Root cause analysis
What They're Looking For.
Must Have
3-5 years backend engineering, Java or Golang proficiency, RESTful APIs development, Microservices architecture understanding, Relational/NoSQL databases experience, Cloud platforms familiarity, Docker containerization experience, Git version control experience, Software design principles knowledge, Data structures knowledge, Algorithms knowledge, System design knowledge
Nice to Have
AI exposure, Generative AI exposure, Large Language Models exposure, AI agents exposure, Machine learning applications exposure, AI services integration experience, Vector databases integration experience, Retrieval systems integration experience, LLM-based workflows integration experience, Kubernetes familiarity, CI/CD pipelines familiarity, Kafka familiarity, Redis familiarity, Message queue systems familiarity, Performance optimization understanding, Caching strategies understanding, Distributed data processing understanding
What You'll Do.
Design backend services
Develop backend services
Test backend services
Maintain backend services
Build microservices architectures
Collaborate with cross-functional teams
Understand requirements
Translate requirements to solutions
Optimize application performance
Optimize application reliability
Optimize application scalability
Maintain integrations
Write maintainable code
Write well-documented code
Participate in code reviews
Participate in technical discussions
Participate in architecture planning
Implement monitoring solutions
Implement logging solutions
Implement observability solutions
Troubleshoot production issues
Perform root cause analysis
Implement preventive measures
Stay updated with technologies
Contribute to innovation initiatives
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Frontend developers; Data teams; Platform engineers
Full Job Description
**This role is for one of the Weekday's clients** Min Experience: 3 years Location: Bangalore JobType: full-time We are looking for a highly motivated **Backend Developer** with 3–5 years of experience to join our engineering team and contribute to the development of scalable, high-performance backend systems powering a fast-growing B2B e-commerce marketplace. This platform is redefining the retail and supply chain ecosystem through cutting-edge technology, data-driven decision-making, and AI-enabled innovation. As a Backend Developer, you will be responsible for designing, building, and optimizing robust microservices and APIs that support mission-critical business functions. You will collaborate closely with product managers, frontend developers, data teams, and platform engineers to deliver reliable and scalable solutions that enhance customer experience and operational efficiency. This role is ideal for engineers who enjoy solving complex distributed systems challenges, working with modern cloud-native technologies, and exploring opportunities to integrate AI/LLM capabilities into enterprise applications. **Requirements** ### Key Responsibilities * Design, develop, test, and maintain scalable backend services and APIs using **Java or Golang**. * Build high-performance microservices architectures capable of handling large transaction volumes and real-time business operations. * Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. * Optimize application performance, reliability, and scalability through efficient coding practices and architectural improvements. * Develop and maintain integrations with internal systems, third-party services, and external APIs. * Write clean, maintainable, and well-documented code following engineering best practices. * Participate in code reviews, technical discussions, and architecture planning sessions. * Implement monitoring, logging, and observability solutions to ensure
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