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Senior Backend Engineer - Java / Spring Boot - SaaS Platform

Senior Backend Engineer - Java / Spring Boot - SaaS Platform

NEXTHIRE LLPDelhi, IN
28 days ago
Job type
  • Remote
Job description

Position : Senior Engineer - L4 (Backend)

We're looking for a Senior Backend Engineer who's passionate about building platform-scale infrastructure that enables leading DTC and retail brands to create powerful mobile experiences. You'll be instrumental in architecting and developing the core systems that power our platform.

What You'll Build :

High-Performance Backend Services :

  • Develop multi-tenant backend services using Java 17+ and Spring Boot that serve millions of API requests daily
  • Build push notification systems, community engagement systems, and mobile-optimized API endpoints
  • Implement advanced caching strategies and performance optimizations that keep response times under 200ms globally
  • Build robust data processing pipelines for customer analytics, engagement tracking, and business intelligence
  • Implement advanced personalization engines that deliver tailored experiences to millions of end-users

Integration & API Ecosystem :

  • Design developer-friendly APIs that enable seamless integrations with major e-commerce platforms (Shopify, WooCommerce, BigCommerce)
  • Build webhook systems, data synchronization services, and third-party connector frameworks
  • Develop authentication, rate limiting, and security systems that protect both our platform and our customers' data
  • Create monitoring and analytics systems that provide deep insights into platform usage and performance

    • What We're Looking For :

    Core Engineering Expertise :

  • 8-10 years of backend development experience with proven expertise in building and scaling SaaS systems
  • Minimum 3+ years in a product-focused company where you've contributed to customer-facing features and platform growth
  • Deep Java expertise (JDK 17+) with extensive Spring Boot experience and a strong understanding of JVM optimization
  • Deep Spring Boot expertise, including Spring Boot, Spring MVC, Spring Data JPA, and Spring Security
  • Production system ownership, including debugging complex issues, performance tuning, and maintaining high-availability services
  • Microservices experience in designing service boundaries, handling distributed transactions, and managing inter-service communication

    • SaaS Platform Experience :

  • Multi-tenant architecture experience, including tenant isolation, resource sharing, and customer-specific customizations
  • API design excellence with proven ability to build intuitive, well-documented APIs that external developers love to use
  • Database proficiency across both SQL (PostgreSQL / MySQL) and NoSQL (Firebase / Redis) with optimization experience
  • Container orchestration with Docker and Kubernetes, including deployment strategies and resource management

    • Modern Development Practices :

  • CI / CD pipeline expertise with automated testing, deployment, and rollback strategies
  • Observability and monitoring using tools like DataDog, ELK stack, etc
  • Security-first mindset with experience implementing authentication, authorization, and data protection measures
  • Performance engineering skills, including profiling, load testing, and capacity planning for high-traffic systems
  • Code quality advocacy through automated testing, peer reviews, and engineering best practices

    • Platform & Integration Skills :

  • Cloud platform experience (AWS / GCP preferred) with serverless and managed service utilization
  • Third-party integration expertise, including REST / GraphQL APIs, webhook handling, and data synchronization

    • Good To Have :

    Specialized Experience :

  • No-code / low-code platform development with visual programming, or workflow builders
  • E-commerce platform integrations with deep knowledge of Shopify
  • Social commerce features like live selling or community building

    • Advanced Technical Skills :

  • GraphQL implementation for flexible, mobile-optimized API design
  • Data pipeline engineering with ETL / streaming processes for analytics and business intelligence
  • Search and recommendation systems using Elasticsearch, machine learning, or personalization engines

    • (ref : hirist.tech)

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