Sr. Staff Software Engineer, Compute Infrastructure

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust care inclusion and fun where everyone can succeed.

Join us to transform the way the world works.

Job Description

This role will be based in Mountain View CA.

At LinkedIn 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.

As a Sr. Staff Software Engineer of the Compute Infrastructure team at LinkedIn you will play a crucial role in our ongoing efforts to re-architect our compute infrastructure stack. This is a high-profile high-impact project that will touch every aspect of our engineering organization. We are looking for experienced professionals who have a proven track record of designing large-scale compute infrastructure and driving consensus.

In this role you will design and implement solutions that enable LinkedIn to scale its compute infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers including distinguished engineers and technical fellows to develop and operate solutions that are robust scalable and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced dynamic environment.

If you are passionate about building the underlying technology that powers one of the worlds most-used internet applications and have the skills and experience to help us take our compute infrastructure to the next level we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.

Responsibilities
-You will directly contribute to LinkedIns Compute infrastructure strategy.
-You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance.
-You will build and operate world class high performance scheduling/deployment solutions including some of the worlds largest Kubernetes clusters to place stateless/stateful services ML workloads and short running jobs efficiently.
-You will help up-level and coach a large team of talented developers.

Qualifications :

Basic Qualifications
-5 years of industry experience in software design development and algorithm related solutions
-5 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
-2 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
-10 years of experience in software design development and algorithm related solutions with at least 5 years of experience in a technical leadership position
-10 years of programming experience in an object-oriented programming language such as Go Java C/C Rust
-5 years of experience building large-scale compute infrastructure and distributed systems
-Demonstrated understanding of operating system fundamentals container technologies and systems knowledge.
-Experienced in leading technical teams and mentoring other engineers
-Experience building and operating cluster management solutions such as Kubernetes.
-Experience with IaaS systems and capacity management.
-Experience with networking and security principles.
-Deep understanding of Kubernetes architecture and key components (API server scheduler kubelet etc.) with a proven track record of deploying managing and troubleshooting Kubernetes clusters.
-Strong proficiency in Golang as it is the primary language.
-Solid understanding of networking concepts relevant to Kubernetes including CNI plugins and pod networking.
-Knowledge of Kubernetes security best practices such as RBAC network policies and Pod security policies.
-Proficiency with monitoring and logging tools such as Prometheus Grafana and Fluentd.

Suggested Skills
-Distributed Systems
-Kubernetes
-Technical Leadership

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198000 to $326000. 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 Information :

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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.

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No

Employment Type :

Full-time