LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

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 drive the technology vision and create business impact by putting to use your passion for very large scale distributed systems and softwares as services 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.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

Responsibilities:

• You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes compute engines, processing pipelines, storage, observability, compliance.etc.

• You will design the right interfaces/APIs for long term evolution of the services.

• You will be responsible for the high availability, reliability, scalability and performance of these systems

• You will invest in growing junior engineers with a high craft bar.

• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.

• You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders in HeadQuarters to drive intra-team alignment.

• You will be a primary domain expert to influence technology choices.

Basic Qualifications:

• BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience

• 14+ years of programming experience in Java, C++or similar programming languages

• 14+ years experience building large-scale distributed systems, applications or similar experience

Preferred Qualifications:

• MS or PhD in Computer Science or related technical discipline.

• 14+ years of relevant work experience.

• Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth.

• Designing and building infrastructure and backend services at internet scale.

• Building and shipping high quality work while achieving high reliability.

• Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions.

• Leading high-impact cross-org initiatives

• Expertise in BigData systems like Apache Hadoop, Spark, Iceberg etc is highly desirable

India Disability Policy

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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