Principal Staff Software Engineer Systems and Infrastructure

This role will be based in Mountain View CA or Bellevue WA.

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.

As part of our world-class software engineering team you will take the lead in building the next-generation infrastructure and platforms for LinkedIn including but not limited to: service delivery platform scalable data storage infrastructure graph infrastructure analytics platform streams processing and data pipelines cutting-edge search platform best-in-class AI/ML infrastructure Kubernetes compute infrastructure media infrastructure etc. You will work and learn among the best putting to use your passion for distributed technologies and algorithms API design and systems design and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka Pinot Azkaban Samza Venice Datahub Feather etc. We also work with industry standard open source infrastructure technologies like Kubernetes GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.

As a Principal Staff Software Engineer you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIns broader goals. You will foster LinkedIns culture and values around transformation collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn.

Responsibilities 

• Deliver impact by driving innovation while building and shipping software at scale
• Provide architectural guidance and mentorship to up-level the engineering organization
• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
• Design products/services/tools and code that can be used by others while upholding operational impact of all decisions
• Functioning as the tech-lead for multiple key initiatives identify problems and opportunities and lead teams to architect design implement and operationalize systems
• Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams
• Working closely with the open-source community to participate and influence cutting edge open-source projects.
• Keep a platform first approach while designing products/service

Qualifications :

Qualifications

Basic Qualifications

• BS in Computer Science or equivalent.
• 10 years of industry experience in software design development and algorithm related solutions.
• 5 years in experience as an architect or technical leadership position.
• Experience in developing and scaling large scale databases or analytics systems
• Experience with coding in Java C or Rust; knowledge of query execution indexing and concurrency.
• Hands on experience developing distributed systems large-scale systems databases and/or Backend APIs

Preferred Qualifications

• MS/PhD in Computer Science or related field.
• Experience in architecting building and running large-scale distributed systems.
• Experience with industry open source and/or academic research in technologies such as Hadoop Spark Kubernetes Feather GraphQL GRPC Apache Kafka Pinot Samza or Venice.
• Experience with open-source project management and governance.
• Experience building interactive services or analytics APIs for large-scale systems.
• Experience with communication and ability to influence cross-functional teams.
• Background in industry thought leadership.
• Demonstrated ability to align technical decisions with business outcomes and drive customer-centric innovation.

Suggested Skills:

• Distributed Systems Design
• Real-time analytics platforms
• Load Balancing 
• Kubernetes
• Deep understanding of concurrency distributed algorithms and data structures.

Additional Information

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 $218000 to $357000. 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 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 at 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 LinkedIns legal duty to furnish information.

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

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No

Employment Type :

Full-time