Staff Software Engineer, Reliability (Espresso SRE)

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

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 in Mountain View, CA.

Espresso is LinkedIn's core data-as-a-service infrastructure (distributed, fault-tolerant NoSQL database). We serve ~30M QPS, 3PB Source of Truth data for 400+ LinkedIn applications.

In this role, you will be a reliability-focused software engineer contributing to the Espresso ecosystem including the router and storage node applications. You will be involved in architecture & design reviews, code reviews, and implementation for automation around the system as well as the core system itself. You will help maintain and improve our disaster recovery and monitoring while engaging with our customers and partner teams across engineering.

Responsibilities:

• You will develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale Linux environment.
• 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 produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• You will serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services.
• You will assist in the roll-out and ramp up of new product features and technologies to facilitate our rapid iteration and constant growth.
• You will gain deep knowledge of our complex applications and operate effectively in a fast-paced, rapidly changing environment.
• 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:

• 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.
• 4+ years of industry 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.
• Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
• Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
• Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
• Experience with Linux operating systems and troubleshooting production systems at scale.

Suggested Skills:

• Technical Leadership
• Advanced Programming Skills
• Code Review and Quality Assurance
• Advanced Software Design & Architecture
• 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 $152,000 to $248,000. 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.

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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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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