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4 weeks ago
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, 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.As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure platforms for LinkedIn with focus on information retrieval(IR). IR domain is an ever evolving space with latest state of the art technologies around Embedding Based Retrieval(EBR), Retrieval Augmented Generation(RAG) and Semantic search to name a few. You will be part of the IR engines team that is responsible for developing a high performance distributed database built using Rust to support multiple retrieval use cases with dense and sparse vectors. You will be working on designing and building various components for the retrieval engine to allow for sub second retrieval with advanced matching capabilities, scaling storage and indexing for billions of documents. You will work and learn among the best, putting to use your passion for distributed systems and algorithms, user-friendly API design, and your passion for writing code that performs at 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 write highly optimized code.- You will participate in design and code reviews to maintain our high development standards.- You will partner with peers, leads and internal customers to define scope, prioritize and build impactful features at a high velocity.- You will mentor other engineers and will help build a fast-growing team.- You will work closely with the open-source community to participate and influence cutting edge open-source projectsBasic Qualifications- BA/BS Degree in Computer Science or related technical discipline, or related practical experience- 5+ years industry experience in software design, development, and algorithm related solutions.- 5+ years experience programming Rust or C/C++.- Hands on experience developing distributed systems, large-scale systems, databases or storage systemsPreferred Qualifications- Expert knowledge of data structures, memory management and optimisation techniques- Experience of working with databases or search systems with focus on performance- Experience with open-source project management and governance- Experience with cloud computing (e.g., Azure) is a plus.Suggested Skills:- Distributed systems- Low level Infrastructure- Rust, C/C++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.India Disability PolicyLinkedIn 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.pdfGlobal Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
