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Recroots · posted 6 months ago
Company Description
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. 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 knowled ge with a broader community while making a real impact within our company.
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.
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 actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will proactively solve for org dynamic issues to ensure effectiveness of overall Engineering.
You will develop strategies and long term priorities across Engineering.
You will establish a culture that values diverse viewpoints while navigating complex decisions.
You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
You will act as the primary domain expert to influence technology choices.
You will lead by example to build a culture of craftsmanship and innovation.
Qualifications
Basic Qualifications
BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
25+ years of programming experience in Java, C++or similar programming languages
25+ years' experience building large-scale distributed systems, applications or similar experience
Preferred Qualifications
Experience with strategic planning, executing on a long-term roadmap, team development and scaling processes to support business growth.
Experience in designing and implementing technologies for highly distributed platforms.
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
Craftsmanship
Software Design and Architecture
Collaboration