Distinguished Software Engineer, Systems Infrastructure - Compute, Deployment, Infrastructure as Code (IaC)
Mountain View, CA, United States · Contract
Sponsorship not specified$253k-$416kDetected 1 day ago
Distributed SystemsCloud PlatformsKubernetesKafkaMachine LearningStatisticsResearchLeadershipMentoring
About the role
- 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.
- This role will be based in Mountain View, CA OR Bellevue, WA.
Responsibilities
- You will partner directly with senior engineering leaders to define long-term technical strategy across LinkedIn's core infrastructure, including compute, deployment, and Infrastructure as Code
- Lead cross-team and cross-functional initiatives
- You will head cross team/cross functional discussions and drive alignment on technology strategy.
- You will contribute directly to initiatives through a combination of design and implementation activities.
- You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
- Drive alignment across organizations on multi-domain infrastructure architecture, balancing scalability, reliability, and cost
- Documents in alternate formats or read aloud to you
- Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Requirements
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- 10+ years of relevant work experience in infrastructure engineering
- Experience leading technical projects with multiple stakeholders
Nice to have
- Deep expertise in at least one of the following domains, with working experience across others:
- Compute Infrastructure, including Kubernetes
- Infrastructure as Code
- Experience with messaging and streaming systems (e.g., Kafka, pub/sub architectures, event-driven systems)
- Proven ability to operate across infrastructure domains, contributing to areas such as fleet management, control planes, and private cloud systems
- Strong systems-level thinking, with the ability to move between domains (e.g., networking - storage - distributed systems)
- Proven track record of leading cross-company, high-impact infrastructure initiatives from concept through production at scale
- Experience mentoring senior engineers and influencing technical direction across large organizations
Skills
- Join us to transform the way the world works.
Compensation
- As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Benefits
- You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
Equal opportunity
- 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.
Visa & Work Authorization
- in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.