Software Engineer, Systems Infrastructure
AmplifAI Health
Software Engineering, Other Engineering
Bengaluru, Karnataka, India
Posted on Nov 5, 2024
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 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 design, build and operate one of the online data infra platforms that power all of Linkedin’s core applications.
- You will participate in design and code reviews to maintain our high development Standards.
- You will partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity.
Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience
- 2+ years of industry experience in software design, development, and algorithm related solutions
- Experience programming in Object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala
Preferred Qualifications:
- Experience in building machine learning platforms at large scale
- Familiarity with techniques used in big data and AI
- Good knowledge in distributed data processing technologies
- Experience with industry, open-source projects and/or academic research in large-data, machine learning systems, such as Spark, TensorFlow, PyTorch, or XGBoost
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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
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 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 design, build and operate one of the online data infra platforms that power all of Linkedin’s core applications.
- You will participate in design and code reviews to maintain our high development Standards.
- You will partner with peers, leads and partners to define, scope, prioritize, and build impactful features at a high velocity.
Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience
- 2+ years of industry experience in software design, development, and algorithm related solutions
- Experience programming in Object-oriented languages such as Java, Python, Go, and/or Functional languages such as Scala
Preferred Qualifications:
- Experience in building machine learning platforms at large scale
- Familiarity with techniques used in big data and AI
- Good knowledge in distributed data processing technologies
- Experience with industry, open-source projects and/or academic research in large-data, machine learning systems, such as Spark, TensorFlow, PyTorch, or XGBoost
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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal