About this opportunity
LinkedIn lists this Principal Staff Software Engineer, Systems Infrastructure opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
At LinkedIn, our approach to flexible work is centered on trust andoptimizedfor 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 designatedhome worklocation upon time of hire, and any changes to thishome worklocation requires a review of remote status and approval.
We are seeking a Principal Staff Software Engineer to join our organization. The team builds and evolves the foundational platforms that keep LinkedIn's services reliable, scalable, secure, and high-performing at global scale.
As a Principal Staff Engineer, you will serve as a senior technical leader and architect responsible for defining and driving next-generation infrastructure that powers AI-first unified developer platforms — enabling engineers and AI agents to collaboratively build, deploy, and operate software with confidence.
Responsibilities:
Architect large-scale infrastructure systems for end-to-end software lifecycle platforms
Design unified CI/CD and deployment platforms spanning build, test, deploy, and runtime operations
Build observability, monitoring, and cost visibility systems for production infrastructure
Develop real-time data pipelines and online serving systems supporting automated or AI-assisted operations
Design service infrastructure where automated systems or AI agents interact with deployments, traffic, and runtime environments
Lead Kubernetes-based compute orchestration for large-scale workload management
Build declarative, version-controlled infrastructure and platform management systems
Define security-by-design standards across the software development lifecycle
Set infrastructure architecture and technical direction across teams and cloud environments
Lead architecture, design reviews, and implementation of foundational infrastructure systems
Review system designs, resolve architectural trade-offs, and mentor engineers on scalable system design
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of experience in software design, development, and algorithm related solutions
5+ years of experience as an architect or in a technical leadership position
Experience designing and building distributed systems, service infrastructure, or related systems
Preferred Qualifications:
MS or PhD in Computer Science or related field
12+ years of experience in software design with at least 5 years in a technical leadership position
Experience architecting and operating large-scale distributed systems, including service delivery, load balancing, traffic management, service mesh, and Kubernetes-based compute infrastructure
Experience with large-scale data and storage systems, including online databases, distributed caching, and high-availability architectures
Architectural expertise in developer platform infrastructure, including CI/CD pipelines, deployment systems, and end-to-end software lifecycle platforms
Experience designing declarative, version-controlled infrastructure and cloud-native systems using technologies such as Kubernetes, Envoy, gRPC, or Apache Kafka
Experience building production observability, monitoring, cost visibility, real-time data, and online serving infrastructure for large-scale platforms
Track record of leading large-scale infrastructure initiatives across multiple engineering organizations, including Kubernetes orchestration and automated or AI-assisted operations
Demonstrated ability to define infrastructure strategy, drive cross-organization technical initiatives, and align architectural decisions with business outcomes
Suggested Skills
Distributed Systems Design
Online Databases
Caching Infrastructure
High-availability Systems
Load Balancing
Service Mesh / Envoy
Kubernetes
Technical Leadership
LinkedIn is committed to fair andequitablecompensation practices.
The pay range for this role is$226,000 to $369,000.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 includeannualperformance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit
Equal 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.
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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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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.