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Software Engineer, Backend Developer, Full Stack Developer

Job in Mountain View, Santa Clara County, California, 94040, USA
Listing for: Linkedin
Full Time position
Listed on 2026-10-01
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, Full Stack Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Software Engineer - Applications
Company Description Linked In  is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
   Join us to transform the way the world works.

Job Description At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

Responsibilities:
You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs.

Identify, leverage, and successfully evangelize opportunities to improve engineering productivity You will own end-to-end feature delivery, translating ambiguous product requirements into clean, testable, and maintainable production code. You will write high-quality software that is rigorously unit-tested, peer-reviewed, and deployed using robust continuous integration and continuous deployment (CI/CD) pipelines. You will utilize AI tools throughout the SDLC to boost design, coding, and review productivity You will design extensible APIs and backend services that elegantly handle synchronous and asynchronous workflows, making deliberate architectural trade-offs between speed and scalability.

You will design and optimize data layers, selecting appropriate relational or non-relational database architectures to handle distributed transactions and large-scale data storage. You are expected to demonstrate technical ownership, driving engineering best practices like code health, thorough documentation, and comprehensive post-mortems. You are expected to operate with agility, delivering high-impact features with speed and operational quality without compromising system stability.

You will work with cross-functional partners, including Product Management, Design, and Data Science, to build intuitive, reliable, and user-centric application experiences.  You will learn to navigate and contribute to highly complex, large-scale enterprise codebases and infrastructure networks. You will learn how to leverage advanced telemetry, monitoring, and profiling tools to proactively diagnose and resolve production bottlenecks. Qualifications

Basic Qualifications:

BA/BS in Computer Science or related technical field or equivalent practical experience 1+ years of industry experience in software design, development, and algorithm related solutions Experience programming in languages such as Python, Java, Java script, C/C++, C#, Objective-C, Ruby, etc.

Preferred Qualifications:

Experience in designing and building infrastructure and web services at large scale. Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.

Experience with r…
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