Software Engineering Manager, Core Storage

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.

This role will be based in 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.

Drive the development of LinkedIn's next-generation, public-cloud-grade blob storage platform. Guide the blob storage team to establish a scalable, durable, secure, and cost-effective storage foundation supporting LinkedIn's online services as well as offline data and AI operations. You will partner with defining the architectural vision and strategic roadmap, cultivate a high-performing engineering team, and collaborate with internal partners across LinkedIn to deliver high throughput, low latency, and scalable automated operations.

Construct an S3-compatible, public-cloud-grade blob storage system designed to support a wide range of LinkedIn workloads, such as Media, Ads, CTR, tracking events, analytics, AI/ML training, checkpointing, and artifact distribution. Streamline integration through seamless client adoption, robust multi-tenancy controls, quota management, and comprehensive observability. Optimize system performance by balancing throughput, latency, availability, durability, and cost using tailored replication and erasure-coding strategies. Scale capacity seamlessly to exabytes while reducing operational overhead through automated capacity management, self-healing recovery, continuous testing, and proactive rebalancing.

Responsibilities

• Lead, coach and manage core team of engineers working on building the infrastructure.

• Participate with senior management in developing a long-term technology roadmap for the team and company.

• Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope.

• Communicate and collaborate effectively with stakeholders across engineering and business leadership.

• Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills.

• Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time.

• Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality.

• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.

Basic Qualifications

• BS/BA in Computer Science or related technical field, or equivalent related experience

• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training

• 5+ years industry experience in software design, development, and algorithm related solutions.

• 3+ years experience in large-scale system design and software development

• Experience programming in object-oriented and/or functional programming languages (like Rust/Python/C++/Scala)

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 of industry experience in software design, development, and algorithms related solutions.

• 5+ years programming experience in languages such as Rust, Java, C++, Python, Go, Scala

• 5+ years in technical leadership, and contributions to industry, open-source projects or academic research in large-data, parallel or distributed systems.

• Experience with public-cloud object storage, multi-tenant infrastructure, databases, remote disk or other large-scale distributed storage systems; familiarity with S3-compatible APIs and customer migrations.

• Successful track record of managing teams of engineers to deliver multiple projects on time and with quality

• Active involvement in the creation and execution of technical strategies and roadmaps

Suggested Skills

• Distributed systems

• Storage

• Technical Leadership

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 $175,000 - $287,000. 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

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.

Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

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.