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.

Team Blurb: We are a Systems Infrastructure team within LinkedIn’s Reliability Infrastructure organization, solving reliability problems at LinkedIn scale. We build foundational systems and platforms across observability, production management, automation, and safe operation of large-scale infrastructure. The work sits at the intersection of distributed systems and reliability engineering, with an emphasis on removing operational toil and creating scalable, resilient ways to run production. Our goal is to make reliability inherent in the infrastructure and tools that engineers use every day.

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 Linkedin's 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.

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

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.

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LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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