Staff Software Engineer - Fullstack at LinkedIn

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fullstack, Backend, Frontend, APIs, Data Flows, AI Agents, System Reliability, Scalability, Technical Leadership, Code Quality, Testing, Documentation, Java, Python, React, Microservices

Industry

Software Development

Description

Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description Hiring Team Description: Our team builds and maintains the core products that power Global Sales Compensation, ensuring accurate, scalable, and compliant compensation processing. We also own and operate all Finance integrations, delivering reliable, real-time data flows across 50+ systems. In parallel, we are developing an AI platform to rapidly onboard Finance AI use cases and enable intelligent agents that improve automation, decision-making, and operational efficiency. This role will be based in Bangalore, India. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: Lead design and development of new features in GSC systems Work across the full stack — backend, frontend, APIs, data flows Architect and build AI agents for Finance use cases Improve system reliability, performance, and scalability Guide junior engineers and provide technical leadership Work closely with PMs, Finance partners, and cross-functional teams Ensure data accuracy and support critical compensation cycles Drive best practices in code quality, testing, and documentation Qualifications Basic Qualification: BA/BS Degree in Computer Science or a related technical discipline, or equivalent practical experience 10+ years of programming experience in a programming language such as Java or Python Full-stack engineering skills (Java, Python, React, or similar) Experience building scalable enterprise applications Knowledge of APIs, microservices, databases, and UI frameworks Ability to design large systems and lead architecture discussions Experience mentoring engineers and driving technical direction Preferred Qualification: 10+ years of relevant work experience. Experience with compensation systems or AI/ML platforms Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. Experience with object-oriented design, coding, testing patterns, and programming languages (Java, C++). Proven coding skills in a high level language with interest and ability to learn other coding languages as needed. Suggested Skills Data Structures & Algorithms Software Design Java Additional Information This role is highly visible across Sales, Finance, and Engineering You will work on systems that directly impact Sales team Compensation You will help shape LinkedIn’s future Finance AI ecosystem Strong opportunities to lead high-impact projects and influence strategy India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering

Responsibilities

The role involves leading the design and development of new features within Global Sales Compensation (GSC) systems, working across the full stack including backend, frontend, APIs, and data flows. Responsibilities also include architecting and building AI agents for Finance use cases and improving overall system reliability and scalability.