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 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. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
• You will lead the technical execution of complex features and mid-sized initiatives, breaking down ambiguous requirements into clear, actionable engineering milestones.
• You will design component-level architectures and data models that are highly scalable, fault-tolerant, and easily maintainable by the broader team.
• You are expected to raise the bar for code quality and engineering excellence through rigorous code reviews, comprehensive technical design documents, and proactive technical debt reduction.
• You will utilize AI tools throughout the SDLC to boost design, coding, and review productivity, and contribute to shared skills and best practices for the overall team
• You will work with product managers and dependent engineering teams to negotiate technical trade-offs, define service boundaries, and ensure on-time delivery.
• You will learn to balance tactical day-to-day execution with long-term technical debt management and strategic component roadmapping.

Qualifications

Basic Qualifications

• BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
• 2+ years of industry experience.

Preferred Qualifications

• BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ 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.
• Proven track record of mentoring junior engineers and leading small to mid-sized project teams.
• Deep expertise in system design, data modeling, concurrency patterns, and performance tuning at scale.
• Proven track record of transforming ambiguous business opportunities into autonomous agentic systems capable of long-horizon reasoning and decision-making.

Suggested Skills

• API Development
• Advanced Programming Skills
• Database Management
• Performance Optimization and Scalability
• Collaboration

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 $129,000 - $212,000. 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