Scale distributed applications, apply architectural trade-offs, and write code to deliver multi-tier, high-volume, reliable, user-centric software that operates 24/7.
Develop software that is unit tested, peer reviewed, and deployed via continuous integration and deployment pipelines.
Provide technical leadership, driving engineering best practices and cross-functional programs.
Own end-to-end feature delivery, translating ambiguous product requirements into clean, testable production code.
Design extensible APIs and backend services, choosing appropriate relational or non-relational databases to support distributed transactions and large-scale data storage.

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About the role

LinkedIn is seeking a Software Engineer - Applications to join our Mountain View, California, United States team. This is a hybrid role, with work performed both from home and from a LinkedIn office on select days, as determined by the team’s needs.

Responsibilities

Qualifications:

Scale distributed applications, apply architectural trade-offs, and write code to deliver multi-tier, high-volume, reliable, user-centric software that operates 24/7.
Develop software that is unit tested, peer reviewed, and deployed via continuous integration and deployment pipelines.
Provide technical leadership, driving engineering best practices and cross-functional programs.
Own end-to-end feature delivery, translating ambiguous product requirements into clean, testable production code.
Design extensible APIs and backend services, choosing appropriate relational or non-relational databases to support distributed transactions and large-scale data storage.
Demonstrate technical ownership by maintaining code health, documentation, and post-mortems.
Collaborate with Product Management, Design, and Data Science to create intuitive, reliable user experiences.
Learn to navigate and contribute to large-scale enterprise codebases and infrastructure, using telemetry, monitoring, and profiling tools to diagnose production bottlenecks.
Basic: BA/BS in Computer Science or related technical field or equivalent practical experience; 1+ years of experience in software design, development, and algorithm-related solutions.
Experience programming in languages such as Python, Java, JavaSc

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Key requirements

Scale distributed applications, apply architectural trade-offs, and write code to deliver multi-tier, high-volume, reliable, user-centric software that operates 24/7.
Develop software that is unit tested, peer reviewed, and deployed via continuous integration and deployment pipelines.
Provide technical leadership, driving engineering best practices and cross-functional programs.
Own end-to-end feature delivery, translating ambiguous product requirements into clean, testable production code.
Design extensible APIs and backend services, choosing appropriate relational or non-relational databases to support distributed transactions and large-scale data storage.