Staff Software Engineer Enterprise Infrastructure

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 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. 

Responsibilities:

• 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

Qualifications :

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

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 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: Work :

No

Employment Type :

Full-time