Senior Software Engineer - Applications

LinkedIn•Mountain View, CA

7d•$129,000 - $212,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
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.
Lead the technical execution of complex features and mid-sized initiatives, breaking down ambiguous requirements into clear, actionable engineering milestones.
Design component-level architectures and data models that are highly scalable, fault-tolerant, and easily maintainable by the broader team.
Raise the bar for code quality and engineering excellence through rigorous code reviews, comprehensive technical design documents, and proactive technical debt reduction.
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.
Work with product managers and dependent engineering teams to negotiate technical trade-offs, define service boundaries, and ensure on-time delivery.
Learn to balance tactical day-to-day execution with long-term technical debt management and strategic component roadmapping.