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.
This role will be based in Mountain View, CA.
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.
As a Staff Linux Systems Engineer on the Core Infrastructure Engineering Team, you will be supporting the platform team who are currently working to maintain and grow our hybrid cloud platform. The core individual responsibilities include management of existing and deploying new Linux (RHEL/Azure Linux) systems, provide overall support and automation of the Linux server platform and related Linux Based Services, including troubleshooting issues, defining disaster recovery plans, establish procedures and documentation.
Responsibilities:
• Lead the strategy, standards and operational practices for the Linux platform for our customers
• Build and maintain automation around Linux host configuration and software package creation and deployment for various applications
• Design, implement and maintain Puppet infrastructure based on organizational requirements and industry best practices
• Develop automation, mostly in Python, for systems administration, deployment and configuration of Linux servers, developer desktops and automate operational tasks
• Experience using Ansible for automation of operational tasks and managing hosts
• Act as a senior resource for the configuration and lifecycle of the Linux Server OS environments including automation and customization
• Be a key contributor in a DevOps-oriented team to facilitate the provisioning of Custom Application Servers and continuous lifecycle of Linux Server-based applications running in a Hybrid Cloud infrastructure
• Responsible for designing, implementing and automating our build, release, deploy, monitoring and configuration processes
• Work collaboratively with peers in the team and perform cloud and cross-platform interoperability tasks
• Participate in a 12x7 on-call engineer rotation supporting our core services and take care of escalations
• Knowledge sharing, conducting training or mentoring as needed to the team
• Deliver improvements to source code management, cost control, security, monitoring, and audit
• Work collaboratively with peers in the adjacent Platform, Network and Storage teams on virtualization and cross-platform interoperability tasks
• Collaborate with the extended Core Bangalore Team, and be available to work with Global Helpdesk, Regional IT and other teams in the event of critical outages
Basic Qualifications:
• B.S. or higher in Computer Science or other technical discipline, or related practical experience
• 10+ years in IT, 8+ specifically related to deployment, management and maintenance of Linux Server Operating Systems (preferably RHEL/CentOS)
• 5+ years developing scripts in Python and Bash other automation technologies
• 3+ years maintaining package/systems management infrastructure, such as Foreman
• 3+ years using configuration management tools, such as Puppet
• 3+ years in a DevOps role with experience in configuration management tools like Ansible and Puppet, experience in software like Github/Azure DevOps and building various stages of the CI/CD pipeline including test automation
Preferred Qualifications:
• Experience with Azure Linux (Mariner) OS
• Experience configuring and troubleshooting n-tier applications utilizing a least privilege model
• Experience with cloud and hybrid compute architecture including VMWare ESXi, Microsoft Azure
• Familiarity with PBIS/Likewise, SSSD
• Experience in scripting with Bash, proficient in creating/managing custom APIs in python using Flask or Fast API
• Familiarity with Apache-based services such as Apache ATS, Tomcat as well as creating services using frameworks like Flask
• Experience supporting Linux server systems in a heterogenous environment with Windows, Mac and Linux clients
• Experience creating and maintaining golden/Master OS images for deployment in a virtual environment (VMware & Azure)
• Experience securing Linux OS, Satellite Servers, and Linux Applications/Services
• Experience in patch management for Linux environments
• Experience in setting up, and maintaining Configuration management tools like Ansible and Puppet, in a hybrid environment
• Experience in creating custom automated solutions/frameworks for day-to-day operational tasks
Suggested Skills:
• Linux
• Puppet
• Ansible
• DevOps
• Python
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 $134,000 to $221,000. 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.
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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.
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