At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn hybrid roles are performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire and any changes to this home work location requires a review of remote status and approval.
We are seeking a Principal-level Technical Lead to join LinkedIns Infrastructure SRE organization. As the technical partner to the organizational leader you will play a critical role in designing and implementing end-to-end solutions for the platform. The organization encompasses Site Health and Operations Embedded Infrastructure SRE (supporting Data Infrastructure and Data/AI Platform partners) and Data Automation. The ideal candidate will have proven expertise in these domains enabling them to design and lead comprehensive solutions that integrate seamlessly across the entire platform.
As a Principal Staff Software Engineer you will serve as a key technical leader and role model within the Infra SRE organization driving the development of scalable and reliable infrastructure operations solutions powered by AI/ML. With the industry increasingly focused on AI our efforts are aimed at enhancing productivity by building and deploying AI/ML solutions at scale in a sustainable manner enabling the industrialization of AI.
In this role you will mentor team members set a high standard for technical craftsmanship and help elevate the teams capabilities. You will also champion LinkedIns Core Values of transformation collaboration and results fostering a culture that aligns with these principles. From time to time you may have to jump in to do hands-on coding and often review PRs from other engineers and guide them towards clean efficient bug-free code. You should inspire the team to maintain code hygiene unit testing test coverage and other better engineering practices.
You will work closely with partners and customer stakeholders to strategize design and lead innovative solutions while taking a hands-on approach to problem-solving. Strong leadership skills and a focus on delivering high-quality solutions are essential for success in this role.
Responsibilities:
- We take an engineering-first approach to elevate infrastructure operations and reliability. As a Principal Engineer youll be driving the strategy to bring down the total cost of ownership to run and operate our infrastructure.
- Build platforms to augment end-to-end reliability and scalability of LinkedIns platforms services and products and bring actionable operational insights to enable continuous improvement.
- You will be defining appropriate Service Level Objectives (SLOs) and managing error budgets to balance reliability with innovation and feature development for infrastructure.
- Scale: our data footprint continues to grow exponentially beyond 100s of thousands of servers multiple exabytes of storage 10s of trillions of events/messages - arrive at a cohesive strategy and best practices to continue to scale our footprint 10x.
- Cloud-based ecosystems are rapidly this role you will be expected to stay up to date with the latest cloud trends including Kubernetes serverless technologies containers and best practices for managing and optimizing large-scale infrastructure performance and help define our strategy and roadmap to set us up to be competitive and get ahead of the trends.
- Provide architectural guidance and mentorship to elevate the engineering organization actively enhancing craftsmanship at LinkedIn by establishing best practices and strategic approaches.
- Influence and lead architecture and design decisions with a strong focus on ensuring Site Up as the top priority
- Drive consensus across cross-functional teams within a matrixed organization fostering alignment and building a cohesive and collaborative team culture.
Qualifications :
Basic Qualifications:
- 10 years of industry experience in software design development and algorithm related solutions
- 10 years of experience programming in object-oriented languages such as Java Go C/C Rust Rust Python
- Hands-on experience developing large-scale distributed systems
- 4 years of experience as an architect or technical leadership position
- BS/BA in Computer Science or related technical field or equivalent technical experience
Preferred Qualifications:
- MS Degree in Computer Science or related technical discipline or equivalent practical experience
- Experience working in the site reliability space
- Professional experience working in the technology industry
- Experience with Data Infrastructure tech stacks: Kafka/PubSub systems Flink Airflow ETL framework and distributed storage (HDFS S3/EBS Object Storage Couchbase or similar)
- Experience architecting and launching complex AI and engineering projects
- Experience leading and influencing within large matrixed organization
- Experience leading high-impact cross-organization initiatives.
Suggested Skills:
- Large Distributed Systems
- Architecture
- Developing technology strategies at a company-wide scale.
- Technical leadership
- Cross functional work
Additional Information :
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 $226000 - $369000. 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: Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 LinkedIns legal duty to furnish information.
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.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
Yes
Employment Type :
Full-time
At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn hybrid roles are performed both from home and from a LinkedIn office on select days as determined by the ...
At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn hybrid roles are performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire and any changes to this home work location requires a review of remote status and approval.
We are seeking a Principal-level Technical Lead to join LinkedIns Infrastructure SRE organization. As the technical partner to the organizational leader you will play a critical role in designing and implementing end-to-end solutions for the platform. The organization encompasses Site Health and Operations Embedded Infrastructure SRE (supporting Data Infrastructure and Data/AI Platform partners) and Data Automation. The ideal candidate will have proven expertise in these domains enabling them to design and lead comprehensive solutions that integrate seamlessly across the entire platform.
As a Principal Staff Software Engineer you will serve as a key technical leader and role model within the Infra SRE organization driving the development of scalable and reliable infrastructure operations solutions powered by AI/ML. With the industry increasingly focused on AI our efforts are aimed at enhancing productivity by building and deploying AI/ML solutions at scale in a sustainable manner enabling the industrialization of AI.
In this role you will mentor team members set a high standard for technical craftsmanship and help elevate the teams capabilities. You will also champion LinkedIns Core Values of transformation collaboration and results fostering a culture that aligns with these principles. From time to time you may have to jump in to do hands-on coding and often review PRs from other engineers and guide them towards clean efficient bug-free code. You should inspire the team to maintain code hygiene unit testing test coverage and other better engineering practices.
You will work closely with partners and customer stakeholders to strategize design and lead innovative solutions while taking a hands-on approach to problem-solving. Strong leadership skills and a focus on delivering high-quality solutions are essential for success in this role.
Responsibilities:
- We take an engineering-first approach to elevate infrastructure operations and reliability. As a Principal Engineer youll be driving the strategy to bring down the total cost of ownership to run and operate our infrastructure.
- Build platforms to augment end-to-end reliability and scalability of LinkedIns platforms services and products and bring actionable operational insights to enable continuous improvement.
- You will be defining appropriate Service Level Objectives (SLOs) and managing error budgets to balance reliability with innovation and feature development for infrastructure.
- Scale: our data footprint continues to grow exponentially beyond 100s of thousands of servers multiple exabytes of storage 10s of trillions of events/messages - arrive at a cohesive strategy and best practices to continue to scale our footprint 10x.
- Cloud-based ecosystems are rapidly this role you will be expected to stay up to date with the latest cloud trends including Kubernetes serverless technologies containers and best practices for managing and optimizing large-scale infrastructure performance and help define our strategy and roadmap to set us up to be competitive and get ahead of the trends.
- Provide architectural guidance and mentorship to elevate the engineering organization actively enhancing craftsmanship at LinkedIn by establishing best practices and strategic approaches.
- Influence and lead architecture and design decisions with a strong focus on ensuring Site Up as the top priority
- Drive consensus across cross-functional teams within a matrixed organization fostering alignment and building a cohesive and collaborative team culture.
Qualifications :
Basic Qualifications:
- 10 years of industry experience in software design development and algorithm related solutions
- 10 years of experience programming in object-oriented languages such as Java Go C/C Rust Rust Python
- Hands-on experience developing large-scale distributed systems
- 4 years of experience as an architect or technical leadership position
- BS/BA in Computer Science or related technical field or equivalent technical experience
Preferred Qualifications:
- MS Degree in Computer Science or related technical discipline or equivalent practical experience
- Experience working in the site reliability space
- Professional experience working in the technology industry
- Experience with Data Infrastructure tech stacks: Kafka/PubSub systems Flink Airflow ETL framework and distributed storage (HDFS S3/EBS Object Storage Couchbase or similar)
- Experience architecting and launching complex AI and engineering projects
- Experience leading and influencing within large matrixed organization
- Experience leading high-impact cross-organization initiatives.
Suggested Skills:
- Large Distributed Systems
- Architecture
- Developing technology strategies at a company-wide scale.
- Technical leadership
- Cross functional work
Additional Information :
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 $226000 - $369000. 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: Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 LinkedIns legal duty to furnish information.
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.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
Yes
Employment Type :
Full-time
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