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LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

The Site Health Team at LinkedIn is at the forefront of ensuring the platform's reliability, resilience, and operational excellence. Our mission is to safeguard the LinkedIn member experience during planned changes, stress conditions, and unplanned incidents across LinkedIn’s multi-region datacenter infrastructure. We are looking for full stack development experience, including building and integrating backend services, APIs, and frontend interfaces for operational platforms or observability tools.

We build scalable platforms, drive rigorous stress testing, and lead reliability-first development in partnership with engineering teams across the company. With AI and LLM-driven analytics as a strategic focus, we’re developing systems that transform incident data into actionable insights and recommendations to continuously improve site health and member trust.

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.

This role will be based out of Sunnyvale, CA.

Responsibilities:

- Full stack development experience, including building and integrating backend services, APIs, and frontend interfaces for operational platforms or observability tools.

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

- Design, build, and operate scalable platforms that drive LinkedIn’s end-to-end incident lifecycle management, including detection, triage, mitigation, postmortem generation, and continuous improvement.

- Build and maintain full-stack applications and dashboards that provide critical business and engineering insights into site health, operational risk, and incident trends.

- 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.

Basic Qualifications:

• Bachelors degree (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.

• Knowledge of computer science, with 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.

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 $121,000 to $198,000. 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.

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 class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you

-Having interviews in an accessible location

-Being accompanied by a service dog

-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice