Sr. Software Engineer, Development Infrastructure

Company Description LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description This role will be available in Bellevue, Washington. 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 is part of the Development infrastructure (DI) organization where you will get an opportunity to influence, transform, and create the next generation, agent centric, large scale, development infrastructure at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experiences for thousands of developers; Provide the environments where agents write, build, test, and publish code; Provide actionable insights that leverages data and metrics; and most importantly, deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well. Responsibilities You will build and ship software at scale that delivers impact. You will improve all aspects of developer experience with a data driven mindset. You will design and build tools and frameworks to automate development, testing, deployment, management, monitoring, data gathering and analysis of our 24x7 services and products. You will develop and evangelize solutions to challenges faced by every product and infrastructure team at LinkedIn to improve developer happiness, productivity, and efficiency. You will scale the infrastructure and tools required to keep our 6000+ developers in step when they are all sharing the same code, building and testing our software stacks, and releasing and deploying their services continuously without compromising site reliability. You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs. Qualifications Basic Qualifications BA/BS Degree in Computer Science or related technical discipline, or related practical experience. 2+ years experience in software design, development, and algorithm related solutions. 2+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C. Preferred Qualifications BS and 5+ years of relevant work experience, MS and 5+ years of relevant work experience, or PhD and 2+ years of relevant work experience Experience designing and building infrastructure and web services at large scale. Knowledge of Internet protocols and network programming. Experience working in a Unix environment (Linux preferred). Experience in large-scale distributed systems and client-server architectures. Experience in driving automated cloud management systems at scale. Experience in containerization, cluster schedulers, infrastructure configuration and orchestration. Experience in standard build tools (e.g. gradle, bazel) and version control systems (e.g. git). Experience in Python development using frameworks like Django, Flask, Jinja, SQLAlchemy. Knowledge and experience in Tomcat, Jetty, Netty, Apache/ATS, Scala/sbt, or Node.js. Experience in working with SQL/NoSQL databases (e.g. MySQL, Dynamo, Cassandra, MongoDB) Experience in messaging & big data systems/solutions (e.g. Spark, Presto, Alation, Hadoop, Kafka) Suggested Skills Object-oriented programming Web services Infrastructure 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 $139,000 to $229,000. 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 class. 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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. 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