Principal Staff Software Engineer, Systems Infrastructure at LinkedIn

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, C++, Distributed Systems, Data Storage, Replication Systems, Search Platform, AI Platform, Experimentation Platform, Privacy Platform, Compliance Platform, Kubernetes, GRPC, GraphQL, BigData, APIs, High Availability

Industry

Software Development

Description

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. This role will be based in Bangalore, India. 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 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 Additional Information 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 http://careers.jobvite.com/linkedin/India-LinkedIn-Equal-Opportunity-for-Persons-With-Disabilities-Policy-2018.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. 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 http://careers.jobvite.com/linkedin/India-LinkedIn-Equal-Opportunity-for-Persons-With-Disabilities-Policy-2018.pdf #LI-HYBRID 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. Workplace Type: Hybrid Career Track & Grade: IC6/11 Department: Engineering

Responsibilities

The role involves building and shipping software, driving architectural decisions, and implementing solutions across the BigData ecosystem, including data processing pipelines and pubsub systems. Responsibilities also include designing long-term evolving service interfaces and ensuring system high availability, reliability, scalability, and performance.