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.
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.
We are looking for a Sr. Staff Engineer to unify and advance the technical strategy across all of Job Seeker Growth. The team is responsible for high-traffic member-facing surfaces like Jobs Home and Job Seeker Communications, for products such as Job Collections, Job recommendations, and Open To Work, and strategic bets such as expanding outside of professional segments. In this role, you’ll act as a tech lead, building for massive scale and collaborating on innovative solutions across R&D, particularly using AI to drive job seeker value and expand business impact.
Responsibilities:
• You will set the direction to platforms that power multiple teams and products
• You will deliver impact by driving innovation while building and shipping software at scale
• You will provide architectural guidance and mentorship to uplevel the engineering organization
• You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7
• You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners
• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
• You will design products/services/tools and code that can be used by others while upholding operational impact of all decisions
• You will identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
• You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap
• You will resolve conflicts between teams within the organization to get alignment and build team culture
• You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning
• You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship
• You will work with peers across teams to support and leverage a shared technical stack
• You will review others’ work and share knowledge
Basic Qualifications:
• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience
• 5+ years of experience in software design, development, and algorithm related solutions
• 5+ years of experience in programming languages such as Python, Java, C/C++, C#
• 3+ years of experience in an architect or technical leadership position
Preferred Qualifications:
• 10+ years of experience in software design, development, and algorithm related solutions
• 5+ years in an architect or technical leadership position
• Experience with machine learning or related technology
• Experience building large-scale consumer products
• Experience in designing and implementing technologies for highly distributed platforms
• Experience in leading cross-organization, cross-functional efforts and successfully delivering transformational technology for hard problems
• Relevant experience leading engineers across multiple skill sets (e.g. Application/Backend, UI/Frontend, iOS/Android/Mobile)
• Active involvement in the creation and execution of technical strategies and roadmaps
Suggested Skills:
• Technical Leadership
• Distributed systems
• Cross-organizational Collaboration
• Code Review
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 $171,000 to $280,000. 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 accommodations@linkedin.com 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
