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. The Streams Infrastructure team at LinkedIn builds and operates highly scalable and available pub-sub, stream processing and data pipeline services for all of LinkedIn’s data platforms and applications. Kafka, Samza and Brooklin all originated at LinkedIn and form the backbone of the streaming infrastructure. More than 20+ trillion messages/day are ingested into the Kafka clusters from tracking site engagement to metrics and logging, while over 4+ trillion messages/day are processed by Samza for real-time data analytics that powers member notifications, threat screening, ads infrastructure etc. Data pipelines which include Brooklin moves over 6+ trillion messages/day and powers tens of thousands of data streams including Kafka mirroring. With tremendous scale comes unique scale and operability challenges. Because we host one of the largest scale streaming systems in the industry, we work on these challenges to ensure no data loss, multi-tenancy with strong failure isolation, and balanced work distribution / coordination, all while maintaining low latency delivery of events. As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn. Responsibilities: - You will build and ship software, drive architectural decisions and implementation across the Stream Processing infrastructure at Linkedin (Apache Kafka, Northguard, Apache Flink, and other new initiatives) - You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. - You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. - 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. - You will act as one of the primary domain experts to influence technology choices. - You will lead by example to build a culture of craftsmanship and innovation. - You will act as someone who uses AI to solve problems, improves productivity and uplifts the team to do so. Basic Qualifications: • BS/BA in Computer Science or related technical field or equivalent technical experience • 5+ years of industry experience in software design, development, and algorithm related solutions • 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala • 2+ years of experience as an architect, or technical leadership position • Hands-on experience developing large-scale, distributed systems, and databases Preferred Qualifications: • MS or PhD degree in Computer Science or related technical discipline • 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 experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala • 5+ years of experience with large-scale distributed systems and client-server architectures • Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms. Suggested Skills: • Distributed Systems • Technical Leadership • Infrastructure as a Service (IaaS) • Systems Infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. 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 annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit careers.linkedin.com. 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. 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: app.smartsheet.com 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 LinkedIn's 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: lnkd.in. Global Data Privacy Notice and Compliance Posters for Job Candidates 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: linkedin.com.

Requirements

Must-haves

You will build and ship software, drive architectural decisions and implementation across the Stream Processing infrastructure at Linkedin (Apache Kafka, Northguard, Apache Flink, and other new initiatives)
You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will lead cross team/cross functional discussions and drive alignment on product/technology strategy.
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.
You will act as one of the primary domain experts to influence technology choices.
You will lead by example to build a culture of craftsmanship and innovation.
You will act as someone who uses AI to solve problems, improves productivity and uplifts the team to do so.
BS/BA in Computer Science or related technical field or equivalent technical experience
5+ years of industry experience in software design, development, and algorithm related solutions
5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
2+ years of experience as an architect, or technical leadership position
Hands-on experience developing large-scale, distributed systems, and databases
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 experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
5+ years of experience with large-scale distributed systems and client-server architectures
Distributed Systems
Technical Leadership
Infrastructure as a Service (IaaS)
Systems Infrastructure

Nice-to-haves

MS or PhD degree in Computer Science or related technical discipline
Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavagorustpythonmlkubernetes

Platform: smartrecruiters
Effort: medium

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