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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. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. We are looking for a Staff Software Engineer to join our Enterprise Infrastructure Engineering team. Our infrastructure empowers every developer, operator and employee by making it effortless to access, build and operate workloads they need to do their jobs and enhance productivity. We create frictionless secure and AI-first environments where automation is the default, compliance is built-in and resources are optimized for performance, cost and sustainability. By doing so, we will enable teams at LInkedIn to innovate faster, reduce operational burden and deliver enterprise grade reliability at scale. In this role, you will be leading a team of engineers to develop and manage products, services that help manage and scale our enterprise infrastructure. 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.
Design, build, and optimize large-scale distributed systems with a focus on performance, scalability, and reliability Lead architectural decisions, including trade-offs across synchronous and asynchronous design patterns Develop platforms, services, and tools that abstract underlying complexity and enable developer productivity Write high-quality, maintainable code and ensure software quality through testing, code reviews, and continuous integration practices Participate in and drive design and code reviews to uphold engineering standards and best practices Diagnose and resolve complex production issues across services and multiple layers of the technology stack Collaborate with cross-functional teams (e.g., AI, data infrastructure, product) to build scalable and reliable platforms Mentor and guide engineers to improve technical execution, system design, and engineering craftsmanship Basic Qualifications: BS in Computer Science, Engineering, or a related technical field, or equivalent practical experience 6+ years of experience in software design, development, and distributed systems 5+ years of programming experience in object-oriented languages such as Java, C++, Python, or similar 3+ years of hands-on experience building and operating large-scale distributed systems or infrastructure platforms Preferred Qualifications: MS or PhD in Computer Science or related technical discipline 8+ years of experience building and working with large-scale, production-grade distributed systems Designed and implemented scalable infrastructure systems or platforms used by multiple teams Built and optimized high-availability services, improving performance, scalability, and reliability Led architectural decisions involving distributed systems, including trade-offs between synchronous and asynchronous design patterns Developed and maintained systems using streaming technologies such as Kafka, Spark, or similar platforms Applied strong software design fundamentals, including data structures, algorithms, and system design in production systems Debugged and resolved complex production issues across services and multiple layers of the technology stack Collaborated with cross-functional teams to deliver scalable platform solutions Mentored and guided engineers to improve technical execution and system design capabilities Suggested Skills: Distributed Systems Architecture Software Development and System Design Infrastructure and Platform Engineering Streaming and Data Processing Systems Cross-functional Collaboration 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 and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.