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 LinkedIns 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 topline andincrease 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
Additional Information :
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No
Employment Type :
Full-time
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