Staff Software Engineer, Systems Infrastructure
4 weeks ago
At LinkedIn, we're committed to creating a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. As a Staff Software Engineer, Systems Infrastructure, you'll play a critical role in building the next-generation infrastructure and platforms for LinkedIn.
About the RoleThis is a unique opportunity to join our world-class software engineering team and contribute to the development of large-scale distributed systems, databases, and backend APIs. You'll work closely with our team to design, implement, and optimize the performance of these systems, ensuring they're secure, compliant, and scalable.
Responsibilities- Own the technical strategy for broad or complex requirements, providing insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- Design, implement, and optimize the performance of large-scale distributed systems, with a focus on security and compliance.
- Improve the observability and understandability of various systems, with a focus on improving developer productivity and system sustenance.
- Effectively communicate with the team, partners, and stakeholders, ensuring seamless collaboration and knowledge sharing.
- Mentor other engineers, define our challenging technical culture, and help build a fast-growing team.
- Work closely with the open-source community to participate and influence cutting-edge open-source projects.
- Deliver incremental impact by driving innovation while iteratively building and shipping software at scale.
- Diagnose technical problems, debug in production environments, and automate routine tasks.
- 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 of 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.
- 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.
We strongly believe in the well-being of our employees and their families. That's 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 $156,000 - $255,000. 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.
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