Principal staff software engineer, systems infrastructure
2 months ago
Linked In is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for Linked In, 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 drive the technology vision and create business impact by putting to use your passion for very large scale distributed systems and softwares as services and your passion for writing code that performs at an extreme scale. Linked In 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 Graph QL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
At Linked In, 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 Linked In office, depending on what’s best for you and when it is important for your team to be together.
Responsibilities:
You will build and ship software, drive architectural decisions and implementation across the Big Data ecosystem that includes compute engines, processing pipelines, storage, observability, compliance.etc. You will design the right interfaces/APIs for long term evolution of the services. You will be responsible for the high availability, reliability, scalability and performance of these systems You will invest in growing junior engineers with a high craft bar. You will actively improve the level of craftsmanship at Linked In by developing best practices and defining best strategies. You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders in Head Quarters to drive intra-team alignment. You will be a primary domain expert to influence technology choices.
Basic Qualifications:
BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience14+ years of programming experience in Java, C++or similar programming languages14+ years experience building large-scale distributed systems, applications or similar experience
Preferred Qualifications:
MS or Ph D in Computer Science or related technical discipline.14+ years of relevant work experience. Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth. Designing and building infrastructure and backend services at internet scale. Building and shipping high quality work while achieving high reliability. Utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions. Leading high-impact cross-org initiatives Expertise in Big Data systems like Apache Hadoop, Spark, Iceberg etc is highly desirable
India Disability Policy
Linked In 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
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which Linked In handles personal data of employees and job applicants:
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