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Senior Software Engineer - InfoSec Defense Infrastructure
Senior Software Engineer - InfoSec Defense Infrastructure-March 2024
Mountain View
Mar 28, 2026
About Senior Software Engineer - InfoSec Defense Infrastructure

About LinkedIn

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 location is hybrid in our Mountain View or San Francisco office location.

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.

About The Team

LinkedIn’s Information Security Defense Infrastructure team is responsible for building the technology and frameworks required to defend LinkedIn against possible attackers and respond to active security threats. Our mission is to provide highly available, reliable and resilient infrastructure and tooling to enable threat detection, incident response, and investigations. The tools and solutions built span across internal custom libraries, deep Azure integrations and automation, high volume processing pipelines and more!

This job requires an engineer who is adept at both building software solutions as well as understanding and integrating with industry standard tools and methods around security monitoring. The ideal candidate will have professional experience with Python, Java and/or other programming languages and be ready to expand their breadth of knowledge as the team and role evolves. Our ideal candidate will also be comfortable working in Azure environments and data pipeline solutions. We are looking for an Engineer with a growth mindset. This is a dynamic role on a dynamic team, we do what it takes to solve the security challenges we are faced with.

Responsibilities

· You will lead, drive, and implement secure software solutions for security monitoring, detection and remediation using Java, Python and other languages when necessary.

· You are expected to collaborate with partners within the team as well as across the organization and company to collect requirements and provide mutually beneficial outcomes.

· You will execute on the goals of the team, delivering end to end solutions that balance the needs of the business and the maintainability of software.

· You are expected to participate and contribute to the projects owned by other team members and partners.

Basic Qualifications

· BA/BS Degree in Computer Science or a related technical discipline, or equivalent practical experience

· 3+ years of experience with software design, development, and algorithmic solutions.

· Experience with the full software stack from operating system tooling, architecting highly available and scalable solutions, authoring reliable and maintainable code, and deploying, monitoring, and iterating on technical solutions.

Preferred Qualifications

· 3+ years of experience in information security.

· Experience in building tooling and automation for Security Incident management

· 3+ years experience with Microsoft Azure development

· 3+ years of experience with big data such as Spark, Hadoop, etc

· 3+ years of experience building data pipelines

Suggested Skills:

· Software Development

· Data Pipelines

· Information Security

· Security Incident Management

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 - $198,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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 [email protected] 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.

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.

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

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