Job Specifications
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 can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
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.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
Responsibilities:
You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
You will effectively communicate with the team, partners and stakeholders.
You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team.
You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg).
You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale.
You will diagnose technical problems, debug in production environments, and automate routine tasks.
Qualifications
Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
4+ years of industry experience in software design, development, and algorithm related solutions.
4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
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 architecting, building, and running large-scale distributed systems.
Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice.
Experience with open-source project management and governance.
Suggested Skills:
Distributed systems
Backend Systems Infrastructure
Java/Golang/Rust/Python
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 $170,000 - $277,000. 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 additional information, visit: https://careers.linkedin.com/benefits.
Additional Information
Equal Opportuni