At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
The MELT instrumentation team is responsible for creating the backbone of our observability signals. The team builds solution which scales to billions of metrics per min, millions of change events, tens of Petabytes of logs per day, and billions of traces per min. Our team provides standardized solutions that enables all of LinkedIn’s applications & infrastructure to easily instrument, emit, and process these signals. As a member of our team, you’ll have the opportunity to work with each LinkedIn application stack and leverage open source tools like OpenTelemetry and Fluent Bit to integrate with our stack. The system problems this team solve are at hyper scale and require working with high concurrency service infrastructure.
Responsibilities
Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.
Develop multi-tier scalable, high-volume performing, and reliable system infrastructure observability solutions that operate 24×7.
Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
1+ years of experience in software engineering/technical management and people management.
5+ years of industry experience in software design, development, and large-scale software engineering
Experience programming in object-oriented and/or functional programming languages(like Java/CPP/Scala/etc.)
Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API’s
Preferred Qualifications
MS or PhD in Computer Science or related technical discipline
2+ years of hands-on software engineering/technical management and people management experience
7+ years industry experience in software design, development, and algorithm related solutions.
5+ years programming experience in languages such as Java, C/C++, C#, Python, Go, etc.
Suggested Skills:
Technical leadership
Communication
System Design
Cross-organizational collaboration
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $156,000 to $255,000. 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
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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 [email protected] 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.
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 for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
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