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.
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 own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
- You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
- You will effectively communicate with the team, partners and stakeholders.
- You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
- You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg)
- You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
- You will diagnose technical problems, debug in production environments, and automate routine tasks
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 8+ years of industry experience in software design, development, and algorithm related solutions.
- 8+ years experience programming in object-oriented languages such as Java, Python, Go and/or Functional languages such as Scala or other relevant coding languages
- Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications
- Experience with Hadoop (or similar) Ecosystem (Gobblin, Kafka, Iceberg, ORC, MapReduce, Yarn, HDFS, Hive, Spark, Presto)
- Experience with industry, open-source projects and/or academic research in data management, relational databases, and/or large-data, parallel and distributed systems
- Experience in architecting, building, and running large-scale systems
- Experience with open-source project management and governance
- Experience with leveraging AI tools for coding
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.
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.
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 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.