Staff Software Engineer

Job description

Job Description
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.
About the Team:
Our vision is to unlock the full richness of LinkedIn's Economic Graph by building the world's most comprehensive understanding of professional identities and the connections between them.

Our team owns LinkedIn's Knowledge Graph, a foundational AI platform powering over 100 internal teams and all major lines of business. We build large-scale AI models, data pipelines, and critical services that transform LinkedIn's data into high-quality, reusable professional intelligence. This includes standardizing core attributes such as skills, titles, companies, and geographic locations, as well as inferring deeper insights into members' expertise, professional relationships, organizational structures, and emerging trends.

By connecting and cross-pollinating intelligence across LinkedIn's ecosystem, our work powers products, AI models, and agent experiences across search, recommendations, advertising, and beyond, enabling richer insights, more personalized experiences, and differentiated capabilities.
Responsibilities

• You will drive the technical roadmap and architecture for an entire product area or major infrastructure domain, aligning engineering efforts with medium to long term business goals.

• You will design highly complex, multi-tiered distributed systems, making critical high-stakes choices regarding synchronous vs. asynchronous patterns, data storage, and third-party integrations.

• You are expected to identify, champion, and execute large-scale, cross-functional initiatives that fundamentally improve engineering productivity, system reliability, or operational costs.

• You will work with engineering directors, product leads, and cross-functional principals to define technical strategies and de-risk highly ambiguous product requirements.

• You will learn to navigate complex organizational dynamics, mastering the art of technical persuasion and driving consensus across divergent engineering teams.

• You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.

• You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.

• You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

• You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs.

• You will identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

Qualifications
Basic Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.

• 4+ years experience in software design, development, and algorithm related solutions.

• 4+ years programming experience in object-oriented programming languages such as Python, Java, JavaScript, C/C++, C#, Objective-C, or Ruby.
Preferred Qualifications

• BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.

• Experience in designing and building infrastructure and web services at large scale.

• Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.

• Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.

• Experience building web applications and services with IDEs, ant, JUnit, etc.

• Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.

• Experience authoring comprehensive RFCs and driving architecture review boards for multi-team systems.

• Strong domain expertise in modern cloud architectures, distributed storage systems, or advanced machine learning infrastructure.

• Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making.
Suggested Skills

• Technical Leadership

• Architectural Mastery

• Code Review and Quality Assurance

• Advanced Security Practices

• Mentoring and Knowledge Sharing
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation

Interview problems reported for LinkedIn

Reported by candidates and public write-ups, not by LinkedIn. Practice each one here:

• Maximum Subarray — Medium
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• Maximum Depth of Binary Tree — Easy
• Lowest Common Ancestor of a Binary Search Tree — Medium
• Serialize and Deserialize Binary Tree — Hard
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• Merge Two Sorted Lists — Easy
• Merge K Sorted Lists — Hard
• Binary Tree Level Order Traversal — Medium
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• Product of Array Except Self — Medium
• House Robber — Medium
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• Number of Connected Components in an Undirected Graph — Medium
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• Same Tree — Easy
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• House Robber II — Medium
• Best Time to Buy and Sell Stock — Easy
• Linked List Cycle — Easy
• Kth Smallest Element in a BST — Medium
• Unique Paths — Medium
• Longest Consecutive Sequence — Medium
• Find Minimum in Rotated Sorted Array — Medium
• Reverse Linked List — Easy
• Reorder List — Medium
• Validate Binary Search Tree — Medium
• Longest Palindromic Substring — Medium
• Word Break — Medium

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