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Staff Software Engineer - Full Stack

LinkedIn is a professional networking platform that helps professionals achieve more in their careers through connections, opportunities and insights.
Frontend
Staff Software Engineer
Hybrid
5,000+ Employees
9+ years of experience
Enterprise SaaS

Description For Staff Software Engineer - Full Stack

LinkedIn, the world's leading professional networking platform, is seeking a Staff Software Engineer to join their Productivity Engineering team in Bangalore, India. This role represents an exciting opportunity to shape the future of enterprise solutions at LinkedIn through innovative AI-powered integrations.

The position sits within the Talent Productivity Engineering team, focusing on building custom web solutions that enhance LinkedIn's internal operations. You'll be at the forefront of developing intelligent systems that directly impact how LinkedIn hires, develops, and engages talent globally. The role combines cutting-edge technologies including Generative AI, Agentic AI, and cloud-native frameworks to create scalable enterprise solutions.

As a Staff Software Engineer, you'll lead the architecture and implementation of sophisticated integration frameworks that connect LinkedIn's enterprise ecosystem. The role requires expertise in both frontend and backend development, with a particular emphasis on AI integration. You'll work with technologies like Python, Java, React, and various AI frameworks while collaborating with cross-functional teams including AI researchers, product managers, and UX designers.

Key responsibilities include architecting scalable services using AI models (OpenAI, custom LLMs, ML pipelines) and cloud services, designing enterprise-grade integration solutions, and owning the complete service lifecycle. You'll also play a crucial role in establishing best practices for AI implementation and driving technical excellence across teams.

The ideal candidate brings 9+ years of software engineering experience, strong technical expertise in both backend and frontend development, and a proven track record with AI technologies. This hybrid role offers the opportunity to work with cutting-edge technology while making a significant impact on LinkedIn's internal operations and overall business efficiency.

If you're passionate about building innovative solutions, have a strong technical background, and want to work at the intersection of enterprise software and artificial intelligence, this role offers an excellent opportunity to advance your career at one of the world's leading technology companies.

Last updated a day ago

Responsibilities For Staff Software Engineer - Full Stack

  • Lead the design and deployment of intelligent, AI-powered integration solutions across LinkedIn's enterprise ecosystem
  • Architect and build intelligent integration frameworks and backend services leveraging AI models
  • Design & Develop complex, enterprise-grade integration and AI solutions
  • Own end-to-end service lifecycle—design, development, deployment, observability, and iteration
  • Lead technical reviews, architecture decisions, and AI integration patterns across teams
  • Drive quality through test automation frameworks, CI/CD pipelines, and performance engineering
  • Document and evangelize best practices for secure, ethical, and responsible use of AI

Requirements For Staff Software Engineer - Full Stack

React
Python
Java
TypeScript
PostgreSQL
  • 9+ years of software engineering experience in backend or systems integration roles
  • BS in Computer Science, Engineering, or equivalent
  • Proficiency in Python (or Java) for backend development and AI integration
  • Hands-on experience designing and deploying REST APIs, event-driven architectures, and microservices
  • Good experience in building production-grade frontend applications using React and JavaScript
  • Good experience with AI technologies and AI/ML frameworks
  • Prior experience in Generative AI and Agentic AI
  • Skilled in relational and non-relational data systems, ETL pipelines, and data modeling
  • Experience with test frameworks, version control, CI/CD, and containerization

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