IN

Senior Software Engineer , Backend

Intuit
Bangalore3-6 LPA Posted 12 Sept 2025
FULL TIME
Docker
Spring Boot
Rest Apis
Sql
Nosql
+1 more

Job Description

What You'll Bring

Education & Experience:

  • BS/MS in Computer Science or related field (or equivalent practical experience)
  • 5+ years of hands-on software engineering experience in Java/J2EE, Python, or Go

Technical Skills:

  • Deep experience in building and maintaining large-scale backend systems or consumer-facing web applications
  • Proficiency with cloud services, APIs, and relational/noSQL databases to build secure, scalable, and high-performance applications
  • Solid foundation in Test Driven Development (TDD), unit/integration testing, and CI/CD best practices
  • Familiar with microservices architecture, RESTful services, and distributed system design

AI-Native Mindset (Preferred):

  • Basic understanding of AI and ML concepts (e.g., model prompting, inference, AutoML)
  • Familiarity with data pipelines, metrics, and evaluation practices for AI integration
  • Awareness of AI-native engineering principles and ability to apply them during development
  • Interest in collaborating with AI experts to embed intelligent features into production applications

Soft Skills:

  • Strong problem-solving and analytical mindset
  • Excellent communication and collaboration skills with both technical and non-technical stakeholders
  • Growth-oriented mindset; eagerness to learn, teach, and mentor within the team

How You Will Lead

Backend Engineering Excellence:

  • Be responsible for 80–90% hands-on coding, working on critical backend services
  • Design and implement reliable, scalable, and maintainable software systems
  • Contribute to architectural decisions, design reviews, and system optimization efforts

AI Integration & Innovation:

  • Collaborate with AI experts and data scientists to integrate AI features into backend applications
  • Propose AI-powered solutions to business problems and participate in their design and implementation
  • Ensure seamless AI model integration, monitoring, and performance optimization within the tech stack

Best Practices & Mentorship:

  • Conduct code reviews, write unit/integration tests, and ensure engineering excellence
  • Mentor junior engineers and promote best practices in system design, performance, and quality
  • Champion DevOps culture—contribute to continuous improvement and automation pipelines

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