Think Beyond The Label Jobs

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 Sunnyvale, CA, San Francisco, CA or Bellevue, WA.

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.

Team Overview:

Securing data is core to building trust with our members and for LinkedIn’s success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly

reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members’ data. We are responsible for securing all of LinkedIn’s microservices, big data, and large scale data systems such as Kafka.

As a Sr. Software Engineer, you will play a crucial role in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. This is a critical role that will touch every aspect of our engineering organization, and we are looking for motivated professionals who have a proven track record of working with engineering teams that can develop large-scale security infrastructure by collaborating with teams across a large organization.

As part of our world-class software engineering team, 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, compute 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.

If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.

Responsibilities:

•Design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.

•Participate in design and code reviews to maintain our high development standards.

•Partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity.

•Mentor other engineers and will help build a fast-growing team.

•Design and implement a robust security framework to safeguard workloads from compromise.

•Continuously identify and mitigate vulnerabilities in host and container ecosystems.

•Strengthen security for control plane components and privileged host agents to prevent unauthorized access.

•Create systems to dynamically adjust security controls based on node profiles and workload context.

•Enhance host and container security with policy-based binary authorization, TPM usage, code signing, and risk-based controls.

•Leverage expertise in domains such as Kubernetes, Containers, Service Mesh, Networking, Linux internals, Authentication/Authorization protocols, and Cloud Security tools.

Basic Qualifications:

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

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

•4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages

•Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs

Preferred Qualifications

•BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience

•Proven experience in designing, developing, and managing large-scale distributed systems.

•Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice

•Strong, in-depth knowledge of the Linux Kernel, including boot modes and initialization

Systems.

•Familiarity with Linux Kernel security features such as Kernel Runtime Security Instrumentation (KRSI).

•Understanding of Intel and AMD hardware virtualization technologies like SGX, TDX, SPE-VI, SEV-SNP.

•Proficiency in eBPF and XDP, as well as security frameworks like Seccomp, SELinux, or AppArmor.

•Hands-on experience with Linux containers and Kubernetes, and familiarity with container runtimes such as Containerd, runc, or similar.

•System-level programming experience in Go/C or Rust/C++, or distributed systems programming within the Kubernetes ecosystem.

Suggested Skills

•API Development

•Kubernetes Infrastructure

•Workload Security

•Java/Golang/Rust/Python

You will Benefit from our Culture 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 $121,000 to $198,000. 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