Senior Software Engineer - Security Infrastructure

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, 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. Securing data is core to building a secure production infrastructure and thereby ensure the trust of our members. Our vision as the SecInfra team is to ensure that every resource at LinkedIn is provided a non-repudiable identity that is used for secure inter service communication, every access to data at LinkedIn is safe and all secret material is cryptographically protected. Our mission is to make this security infrastructure 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 and large scale data systems such as Kafka and LinkedIn's NoSQL data stores. We are looking for a motivated software engineer to join the Security Infrastructure team to help us realize our vision to ensure that every access to data at LinkedIn is safe. This team is responsible for ensuring service identity is fully managed, strongly attested and all communication across LinkedIn's infrastructure is authenticated and access controlled. We provide the controls and guardrails necessary for microservices in LinkedIn to interact with each other in a trusted manner. This, combined with LinkedIn's massive scale, is an exciting space to be a part of right now. The team is at an exciting juncture with a multi-year roadmap focused on building secure and usable authentication authorization solutions that directly impact the entirety of LinkedIn's infrastructure. You will be empowered to play a key role in helping us execute on our roadmap and vision. We are looking for an engineer with sound technical acumen and the enthusiasm to learn, grow, and lead. Responsibilities: You will design and develop secure, performant, and user intuitive solutions for security infrastructure at LinkedIn's massive scale that operate 24x7. You will drive rapid product innovation and delivery while maintaining engineering excellence You will embrace and champion engineering best practices You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. You will drive continuous self-development through curiosity, learning, and a desire to excel You will participate in design and code reviews to maintain our high development standards. You will partner with peers, leads and internal customers to define scope, prioritize and build cross organizational impactful features at a high velocity. You will mentor other engineers and will help build a fast-growing team. You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., SPIRE, cert-manager). Basic Qualifications: BABS Degree in Computer Science or related technical discipline, or related practical experience. 2+ years of industry experience in software design, development, and algorithm related solutions. 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# andor other relevant coding languages Hands on experience developing distributed systems, large-scale systems, databases andor 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 Experience in architecting, building, and running large-scale distributed systems Prior experience with Security andor Cryptography strongly preferred. Experience with industry, opensource, andor academic research in technologies such as Kubernetes, SPIRE, GraphQL, GRPC, Apache Kafka, cert-manager. Experience with open-source project management and governance Suggested Skills: - Distributed systems - Backend Systems Infrastructure - JavaGolangRustPython 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 andor other applicable incentive compensation plans. For more information, visit 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: Please reference and 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 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: 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:

Created: 2024-11-05