Staff Software Engineer

LinkedIn; Mountain View (CA); Hybrid; USD 152,000 - 248,000; Full time

Job summary

LinkedIn is seeking a senior software engineer to scale distributed systems, lead architectural decisions, and deliver high-quality code in a hybrid work model. You will mentor others, drive best practices, and contribute to large-scale, cross-functional programs.

The role requires a strong foundation in CS with 4+ years in software design and OO programming, plus experience in Python, Java, JavaScript, and C/C++.

Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 4+ years experience in software design, development, and algorithm related solutions.
• 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speed 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.
• Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs.

Skills

Technical Leadership

Architectural Mastery

Code Review

Quality Assurance

Mentoring

Education

BA/BS in Computer Science or related field

Tools

Python

Java

JavaScript

C/C++

C#

Objective-C

Ruby

Job description

LinkedIn is the world's 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. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Join us to transform the way the world works.

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.

Team:

The Careers Matching Foundations team is an apps infra team within the Talent Marketplace organization that owns the job search backend systems. We own the query understanding system, the GPU-based EBR system, and the mid-tier orchestrator that generates job search results. We closely partner with our sister AI team who builds who builds the models and front-end client teams to improve the quality and capabilities of job search. Our mission is to build a highly available semantic job search system that enables fast iteration by our product and AI partners while staying on the cutting edge of retrieval and ranking technologies. Join us to build the next generation of LinkedIn job search!

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.

Basic Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 4+ years experience in software design, development, and algorithm related solutions.
• 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.

Preferred Qualifications

• BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
• 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.
• Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
• Experience building web applications and services with IDEs, ant, junit, etc.
• Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.

Suggested Skills

• Technical Leadership
• Architectural Mastery
• Code Review and Quality Assurance
• Advanced Security Practices
• Mentoring and Knowledge Sharing

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 $152,000 - $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

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.

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.

Global Data Privacy Notice and Compliance Posters for Job Candidates

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.