Senior Infrastructure Architect

4 days ago


Bengaluru, Karnataka, India LinkedIn Full time

As a Senior Infrastructure Architect at LinkedIn, you will play a key role in shaping the next-generation infrastructure and platforms for our company. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day.

About Us

We're committed to providing transformational opportunities for our own employees by investing in their growth. Our culture is built on trust, care, inclusion, and fun, where everyone can succeed. We offer a hybrid work option, allowing you to balance working from home with commuting to a LinkedIn office, depending on what's best for you and your team.

About the Role

This position offers a unique opportunity to design, implement, and optimize large-scale distributed systems with security and compliance in mind. You will be responsible for improving the observability and understandability of various systems, focusing on developer productivity and system sustenance. Additionally, you will effectively communicate with teams, partners, and stakeholders.

  • You will develop insightful and forward-looking technical strategies that solve large open-ended problems.
  • You will improve the performance of large-scale distributed systems while considering security and compliance.
  • You will enhance the understanding and usability of systems, aiming to increase developer efficiency and system longevity.
Requirements

To be successful in this role, you should have:

  • Bachelor's or Master's degree in Computer Science or a related technical field.
  • At least 8 years of experience in software design, development, and algorithmic solutions.
  • Extensive experience programming in object-oriented languages such as Java, Python, Go, and/or functional languages like Scala or other relevant coding languages.
Preferred Qualifications

We are looking for candidates with experience in:

  • Hadoop (or similar) Ecosystem (Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, Spark, Presto).
  • Industry, open-source projects, and/or academic research in data management, relational databases, and/or large-data, parallel, and distributed systems.
  • Architecting, building, and running large-scale systems.
  • Open-source project management and governance.
Suggested Skills

A strong foundation in:

  • Distributed systems.
  • Backend Systems Infrastructure.
  • Java.
Salary Range

The estimated salary range for this position is $150,000 - $250,000 per year, depending on location and experience. This figure is based on industry standards and takes into account factors such as cost of living, qualifications, and market demand.



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