Software Engineer - Applications

LinkedIn; Mountain View (CA); Hybrid; USD 109,000 - 147,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

LinkedIn is the world's largest professional network, designed to create economic opportunity for every member of the global workforce. The role focuses on building scalable, user-centric software and delivering impactful features with rigorous CI/CD practices.

The position is hybrid, combining work from home and office days. You will collaborate with Product, Design, and Data Science teams to ship reliable services, optimize performance, and apply modern engineering patterns at internet scale.

Qualifications

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

Responsibilities

• Scale distributed applications and design synchronous and asynchronous patterns.
• Develop multi-tier scalable, high-volume, user-centric applications 24x7.
• Deliver well-tested code with unit tests and CI/CD.
• Provide technical leadership and drive best engineering practices.
• Own end-to-end feature delivery from product requirements to production.
• Collaborate with Product, Design, and Data Science teams.
• Navigate large-scale enterprise codebases and infrastructure.
• Use telemetry and profiling tools to diagnose production bottlenecks.

Skills

Python

Java

JavaScript

C/C++

C#

Objective-C

Ruby

Algorithms

Data structures

Software design

Education

BA/BS in Computer Science or related field

MS or PhD in Computer Science or related field

Tools

Docker

Kubernetes

CI/CD

Build automation

Automated testing

Relational databases

Non-relational databases

Distributed systems

Job description

LinkedIn 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.

LinkedIn 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 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

• 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, Javascript, 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 relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
• 2+ years of relevant work experience.
• MS or PhD in Computer Science or related technical discipline
• System Design: Proven experience designing, building, and operating robust web services and distributed infrastructure at internet scale.
• Core Competencies: Strong foundational knowledge of computer science fundamentals, including advanced data structures, algorithms, and modular software design patterns.
• Tech stack:
  • Proficiency in at least one mainstream language (e.g., Java, C++, Python, or JavaScript/TypeScript).
  • Solid understanding of relational and non-relational database design, distributed transaction management, and query optimization.
  • Familiarity with modern development ecosystems, including advanced IDEs, build automation, containerization, and automated testing frameworks.
• Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making.

Suggested Skills

• API Development
• Programming Proficiency
• Performance Optimization and Monitoring
• Collaboration

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $108,900 - $147,400. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.