Company Description LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description As part of our world-class software engineering team, you will be charged with building the next-generation information retrieval infrastructure and platforms for LinkedIn, including but not limited to: search systems, vector databases, system infrastructure, and other AI platform components. You will drive the technology vision and create business impact by putting to use your passion for very large scale information retrieval systems and software as a service 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 to drive intra-team alignment.

Qualifications Basic Qualifications

• BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
• 18+ years of programming experience in C++, Rust or similar systems programming languages
• 18+ years experience building large-scale distributed systems, applications or similar experience

Preferred Qualifications

• MS or PhD in Computer Science or related technical discipline.
• 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 model inference or online model serving systems

Suggested Skills

• Large scale distributed systems
• Strategic thinking
• Information Retrieval

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.

Additional Information 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

Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.