What are the responsibilities and job description for the Director, Software Engineering position at Lensa?
Lensa is the leading career site for job seekers at every stage of their career. Our client, LinkedIn, is seeking professionals in Mountain View, CA. Apply via Lensa today!
LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners.
At Linked, 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.
Job Overview
We are seeking a Director to lead the Security Foundations Engineering (SFE) team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of securing large-scale, distributed systems and microservices. This role will play a pivotal part in the design and execution of solutions to ensure the protection of our data and systems at scale. You will work closely with a team of engineers and cross-functional leaders to build and optimize security infrastructure & systems that supports LinkedIn’s expanding user base and infrastructure needs.
Lead the development and implementation of scalable, high-performance security infrastructure solutions that align with LinkedIn’s security objectives.
Oversee the strategy and evolution of areas of Identity, Access, Crypto/Key Management, and Vulnerability Management, ensuring solutions meet security, performance, and customer experience, and organizational goals.
Direct the execution of large-scale programs, managing full lifecycle operations and guiding the strategic direction of security architecture.
Ensure swift resolution and minimal impact to services.
Recruit, mentor, and manage a high-performing security infrastructure team, fostering a culture of excellence and continuous growth.
Partner with cross-functional teams across Engineering to integrate security solutions and enhance LinkedIn’s infrastructure.
Key Deliverables and Measures of Success
Develop management practices to improve reliability, quality and performance of security services built and operated by Security Foundations Engineering.
Drive the short, medium and long term roadmap for the security services which support LinkedIn’s current and next generation infrastructure.
Basic Qualifications
10 years in security engineering leadership.
10 years in security building and deploying security architecture, at scale, with at least 5 of those years in a technical or people leadership position.
4 years experience in one or more of the following areas: cloud data infrastructure, search infrastructure, ML platforms, large Hadoop infrastructure or equivalent
Ability to lead by example and inspire the team to perform at a very high level, collaborates very well across different teams.
Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization.
Preferred Qualifications
10 years in cybersecurity for a highly regulated industry (e.g., finance, healthcare, energy) or technology.
Have a proven track record of developing and implementing successful cybersecurity strategies, including defense-in-depth.
10 years’ experience in software design, development, and operation.
5 years experience with large-scale distributed systems and client-server architectures.
Experience with building and operating cryptographic systems at scale.
Extensive understanding of large scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, experimental design.
Extensive understanding of cloud native computing technologies like Kubernetes
Strong leadership abilities in order to communicate and drive cross-functional efforts.
Relationship and people leadership skills.
"Suggested skills"
The pay range for this role is $203,000 to $333,000. 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 an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. 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
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
LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners.
At Linked, 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.
Job Overview
We are seeking a Director to lead the Security Foundations Engineering (SFE) team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of securing large-scale, distributed systems and microservices. This role will play a pivotal part in the design and execution of solutions to ensure the protection of our data and systems at scale. You will work closely with a team of engineers and cross-functional leaders to build and optimize security infrastructure & systems that supports LinkedIn’s expanding user base and infrastructure needs.
Lead the development and implementation of scalable, high-performance security infrastructure solutions that align with LinkedIn’s security objectives.
Oversee the strategy and evolution of areas of Identity, Access, Crypto/Key Management, and Vulnerability Management, ensuring solutions meet security, performance, and customer experience, and organizational goals.
Direct the execution of large-scale programs, managing full lifecycle operations and guiding the strategic direction of security architecture.
Ensure swift resolution and minimal impact to services.
Recruit, mentor, and manage a high-performing security infrastructure team, fostering a culture of excellence and continuous growth.
Partner with cross-functional teams across Engineering to integrate security solutions and enhance LinkedIn’s infrastructure.
Key Deliverables and Measures of Success
Develop management practices to improve reliability, quality and performance of security services built and operated by Security Foundations Engineering.
Drive the short, medium and long term roadmap for the security services which support LinkedIn’s current and next generation infrastructure.
Basic Qualifications
10 years in security engineering leadership.
10 years in security building and deploying security architecture, at scale, with at least 5 of those years in a technical or people leadership position.
4 years experience in one or more of the following areas: cloud data infrastructure, search infrastructure, ML platforms, large Hadoop infrastructure or equivalent
Ability to lead by example and inspire the team to perform at a very high level, collaborates very well across different teams.
Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization.
Preferred Qualifications
10 years in cybersecurity for a highly regulated industry (e.g., finance, healthcare, energy) or technology.
Have a proven track record of developing and implementing successful cybersecurity strategies, including defense-in-depth.
10 years’ experience in software design, development, and operation.
5 years experience with large-scale distributed systems and client-server architectures.
Experience with building and operating cryptographic systems at scale.
Extensive understanding of large scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, experimental design.
Extensive understanding of cloud native computing technologies like Kubernetes
Strong leadership abilities in order to communicate and drive cross-functional efforts.
Relationship and people leadership skills.
"Suggested skills"
- Security engineering
- Security architecture
- Leadership
The pay range for this role is $203,000 to $333,000. 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 an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. 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
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
Salary : $203,000 - $333,000
