Staff Software Engineer, Systems Infrastructure
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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.
The Tracking Team at LinkedIn is responsible for instrumenting & collecting accurate data of how LinkedIn users interact with our web & mobile applications. Data scientists use the tracking data to gain business insights, Product Managers use them to understand customer behavior and AI engineers use them to build relevance models to improve our products and services. Inaccurate data severely impacts decision making at LinkedIn. We collect data which is revenue sensitive and it is also used to report core 4 metrics of the company. We are building a next generation Tracking platform to efficiently collect interaction data for our billion plus users cutting across multiple technology stacks (mobile, applications, infrastructure) and generate insights in near real time.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. 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. 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 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
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
This job is no longer accepting applications
See open jobs at LinkedIn.See open jobs similar to "Staff Software Engineer, Systems Infrastructure" Techstars.