Staff Software Engineer, Systems Infrastructure

LinkedIn is the world’s 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in Bangalore, India.

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 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

Basic Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 8+ years of industry experience in software design, development, and algorithm related solutions.
• 8+ years experience programming in object-oriented languages such as Java, Python, Go 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

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

Suggested Skills

• Distributed systems
• Backend Systems Infrastructure
• Java

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