Staff Software Engineer - Applications
LinkedIn · Mountain View, CA, United States
- Senior
- Full-time
- $156,000 – $255,000
- Posted 2026-09-21
- Confirmed live on 25 September 2026
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.
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 practices.
The pay range for this role is $156,000 - $255,000. 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 https://careers.linkedin.com/benefits.
Additional Information
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 clas
Interview problems reported for LinkedIn
Reported by candidates and public write-ups, not by LinkedIn. Practise each one here:
- Maximum Subarray — Medium
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- Lowest Common Ancestor of a Binary Search Tree — Medium
- Maximum Depth of Binary Tree — Easy
- Serialize and Deserialize Binary Tree — Hard
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- Two Sum — Easy
- 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
- Palindromic Substrings — Medium
- Graph Valid Tree — Medium
- Number of Connected Components in an Undirected Graph — Medium
- Longest Substring Without Repeating Characters — Medium
- Same Tree — Easy
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- Invert Binary Tree — Easy
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- Best Time to Buy and Sell Stock — Easy
- Longest Consecutive Sequence — Medium
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- Reverse Linked List — Easy
- Linked List Cycle — Easy
- Validate Binary Search Tree — Medium
- Kth Smallest Element in a BST — Medium
- Longest Palindromic Substring — Medium
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