LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

Job Description

This role will be based in Mountain View, CA.

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 be at the forefront of revolutionizing how our systems and applications perform and operate. You will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform 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 an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry-standard open-source infrastructure products 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.

We are looking for a Senior Engineering Manager who will develop strategies and build systems to manage infrastructure capacity. Additionally, you will lead teams that drive LinkedIn’s capacity management infrastructure, ensuring the efficient delivery of long-term and annual capacity forecasts. This role is pivotal in providing clear, data-driven predictability for finance and capacity fulfillment teams, empowering LinkedIn’s infrastructure to operate at massive scale. By collaborating closely with engineering teams across the company, this leader will ensure high availability while enabling informed and strategic decisions around infrastructure costs.

This team makes a significant impact by ensuring we meet traffic demands from over a billion members, all while optimizing resource costs. The work you lead will support the stability, scalability, and efficiency of LinkedIn’s private cloud infrastructure, driving critical business outcomes.

Responsibilities:

• Develop strategy, build roadmap and execute for the capacity infrastructure team.

• Coach, mentor, develop career and grow talent within the team.

• Identify problems and opportunities & deliver impact by driving innovation while building and shipping software at scale.

• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.

• Work closely with partners regularly to help define roadmap.

• Resolve conflicts between teams within the organization to get alignment and build team culture.

• Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.

Basic Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.

• 3+ years of experience in software engineering/technical management and people management.

• 7+ 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

4+ years of software engineering management experience

2+ years exp managing managers

Suggested Skills:

• Technical Leadership

• People Management

• Stakeholder Management

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $180,000 to $300,000. 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