Distinguished Software Engineer, Data Infrastructure

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. 

Overview:  

Are you ready to shape the future of LinkedIns infrastructure Were looking for a visionary Distinguished Engineer to join our dynamic Data Infrastructure team. With our focus on nearline systems batch systems observability compliance and managed data science platforms were critical to every aspect of LinkedIn products and committed to pushing the boundaries of whats possible. As a key member of our team you will tackle complex technical challenges design resilient architectures and develop cutting-edge solutions that enhance LinkedIns platform for millions of users worldwide. 

In this high-impact role youll have the opportunity to drive innovation mentor engineering talent and represent LinkedIn as a thought leader in the industry. If you have a passion for building scalable high-performance systems and want to make a significant contribution to a company that values collaboration growth and excellence wed love to hear from you. Join us to redefine the standards of online infrastructure and deliver exceptional experiences to LinkedIns members and customers. 

Job Description: 

LinkedIn is seeking a Distinguished Engineer with deep expertise in Data Infrastructure Platforms and AI to provide technical leadership for the Data Infrastructure organization. The Data Infrastructure team delivers the specialized infrastructure required to run LinkedIns products AI training and inference business metrics and observability with high availability scale and optimal performance. This leader will leverage their broad infrastructure knowledge to drive innovation optimize performance and enable superior user experiences that increase productivity and customer engagement. 

Responsibilities: 

• Develop a comprehensive understanding of LinkedIns infrastructure particularly focusing on Data Infrastructure but also partner infrastructure in our Core and AI teams to provide domain expertise and thought leadership. 

• Lead and facilitate cross-functional technical discussions to align product and technology strategies emphasizing developer productivity while meeting scale performance and efficiency requirements. 

• Define and drive technical strategies and roadmaps that translate business requirements into robust architecture and technology plans. 

• Design and architect highly scalable resilient and distributed systems to support Data Infrastructure objectives

• Establish and advocate for best practices design patterns and quality standards for scalable batch and nearline processing policy enforcement data quality

• Identify and address gaps in the current infrastructure by recommending and implementing migration strategies for legacy systems

• Work closely with infrastructure users to understand user experience and set the vision and technical direction to improve usability

• Mentor and guide senior engineering talent fostering a culture of craftsmanship innovation and technical excellence

• Help drive an understanding of AI and a culture of AI adoption for development and in our systems

• Represent LinkedIn as a thought leader by publishing technical papers presenting at conferences and driving industry innovation in Online Infrastructure. 

• Collaborate with stakeholders to ensure the infrastructure supports LinkedIns business goals and customer needs. 

• Drive the adoption of new technologies and methodologies that enhance the performance reliability and maintainability of LinkedIns infrastructure. 

• Ensure compliance with security and privacy standards implementing measures to protect LinkedIns data and systems. 

Qualifications :

Basic Qualifications: 

• Bachelors degree in Computer Science Electrical Engineering or a related field or equivalent experience

• 10 years of experience in software engineering with a focus on infrastructure distributed systems or databases. 

Preferred Qualifications: 

• Masters or PhD in Computer Science Electrical Engineering or a related field or equivalent research experience. 

• Proven track record of technical leadership in building robust scalable platforms

• Demonstrated expertise in designing implementing and managing large-scale distributed systems that are both resilient and scalable. 

• 5 years of experience in a technical or scientific leadership position

• Proven ability to lead and mentor engineering teams fostering a culture of technical excellence innovation and collaboration. 

• Expertise in designing and implementing distributed databases data and compute infrastructure at scale

• Experience identifying gaps in current infrastructure recommending strategic improvements and driving implementation of cutting-edge solutions to advance the field of Data Processing and Data Infrastructure

• Experience leading large-scale development projects from concept to production

• Proficiency with AI based development and the use of AI/ML in production systems

• Ability to drive cross-company initiatives and influence the evolution of infrastructure systems

• Excellent communication skills with experience mentoring engineering talent and fostering a culture of collaboration and innovation. 

  Suggested Skills:

  * Mentoring

  * Technical Leadership

  * Machine Learning 
   

  LinkedIn is committed to fair and equitable compensation practices.   

   

  The pay range for this role is $248000 to $406000. 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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  No

  
  

  Employment Type :

  Full-time