Job Description 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. Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design systems that help the company deliver major business processes (go-to-market, sales, finance, and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way, help grow our top line, and increase our efficiency.  As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability. Responsibilities Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. Produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration. Design, implement, and maintain backend services and APIs (REST/gRPC) with a focus on performance, reliability, and operational simplicity. Implement robust data persistence and caching strategies (SQL/NoSQL, Redis, etc.) and optimize queries and schemas for scale. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Ensure observability: logging, metrics, tracing Participate in on-call rotations and incident response, drive postmortems and continuous improvement. Collaborate cross-functionally to align technical solutions with product and business goals. Qualifications Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. CS fundamentals: data structures, algorithms, concurrency, OOP and design patterns. 2+ years’ experience programming experience in Java / C# / similar Hands-on experience with microservices, API design (REST / gRPC), and inter-service communication patterns. Familiarity with messaging/event systems. Testing discipline: unit, integration. Debugging and performance tuning skills. Effective written and verbal communication skills Preferred Qualifications 3+ years of relevant work experience. Proven coding skills in a high-level language with interest and ability to learn other coding languages as needed. Practical experience with cloud platforms and cloud-native services. Experience building applications and services with IDEs and general development practices. Experience with CI/CD pipelines. Knowledge of authentication/authorization standards (OAuth2, JWT). Suggested Skills Data Structures & Algorithms Software Design Java / C# / similar Git, CI/CD RESTful APIs Cloud

About LinkedIn

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.