Software Engineer, Systems Infrastructure

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 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 design build and operate one of the online data infra platforms that power all of Linkedins core applications.
- You will participate in design and code reviews to maintain our high development Standards.
- You will partner with peers leads and partners to define scope prioritize and build impactful features at a high velocity.

Qualifications :

Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline or related practical experience
- 2 years of industry experience in software design development and algorithm related solutions
- Experience programming in Object-oriented languages such as Java Python Go and/or Functional languages such as Scala

Preferred Qualifications:
- Experience in building machine learning platforms at large scale
- Familiarity with techniques used in big data and AI
- Good knowledge in distributed data processing technologies
- Experience with industry open-source projects and/or academic research in large-data machine learning systems such as Spark TensorFlow PyTorch or XGBoost

Suggested Skills:
- Distributed systems
- Backend Systems Infrastructure
- Java

Additional Information :

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No

Employment Type :

Full-time