Company Description

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

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 drive the technology vision and create business impact by putting to use your passion for very large-scale distributed systems and software as services 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.

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.

Responsibilities

You will build and ship software, drive architectural decisions and implementation across the BigData ecosystem that includes data processing pipelines, pubsub systems, 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 actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will invest in growing junior engineers, developing design and craftsmanship skills and culture.
You will lead cross team/cross functional discussions and drive alignment on product/technology strategy. You will work closely with other stakeholders in HeadQuarters to drive intra-team alignment.
You will be a primary domain expert to influence technology choices.

Qualifications

Basic Qualifications

BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
18+ years of programming experience in Java, C++or similar programming languages
18+ years experience building large-scale distributed systems, applications or similar experience

Preferred Qualifications

MS or PhD in Computer Science or related technical discipline.
18+ 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 BigData systems like Apache Hadoop, Spark, Iceberg etc is highly desirable

Suggested Skills

BigData technologies
Large-scale distributed systems
Communication

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 Information

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.

Principal Staff Software Engineer, Systems Infrastructure