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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.
Job DescriptionThis 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:
Basic Qualifications:
Preferred Qualifications:
Suggested Skills:
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 InformationIndia 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 and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Job ID: 152713619
Skills:
Algorithms, Technical Leadership, Distributed Systems, Software Design, data structures, Networks, compute technologies, large-scale infrastructure, Hardware Architecture
Skills:
Java, C, CSS, Objective-c, HTML, Angular, React, Javascript, Ember, Ruby, Python, Chrome Dev Tools
Skills:
.Net Core, Typescript, Api Development, Postgressql, Node.js, Oracle, Python, Graphql, React Js, REST, AWS Aurora, Next.js, Cline, AI Powered Engineering tools, Cloud platforms, Secure Coding Practices, GitHub Copilot
Skills:
data vault , snowflake , Amazon Web Services, T-sql, Continuous Integration, PostgreSQL, Pl Sql, Artificial Intelligence, Terraform, Microsoft Azure, Star Schema, Python, Java, Google Cloud Platform, Cloudformation, Scala, SQL Server, Sql, Continuous Delivery, Amazon Redshift, automated deployment pipelines, data quality monitoring, NoSQL Engines, observability solutions
Skills:
Apis, concurrency, Kafka, Memory Management, Gcp, Distributed Systems, AWS, data pipelines, Amplitude, Segment, EventBus, event streaming, AI LLM tooling, Java ecosystem, high-throughput data processing, observability