Sr. Software Engineer Enterprise Infrastructure

Productivity Engineering is a team at LinkedIn that builds products that power LinkedIns business. We drive technology vision architecture anddesignsystems that help the companydeliver onmajor business processes (go-to-market sales finance and customer support etc.). We deliver applications and products that let our customers do business with us in a seamless way help grow our top line and increase our efficiency.

This role focuses on building and maintaining scalable reliable and secure infrastructure that empowers every developer at LinkedIn. You will manage and scale large-scale enterprise infrastructure across 5 data centers 11 regional offices and cloud environments like Azure while driving automation to reduce operational toil and improve developer productivity. Your work will involve managing distributed systems including orchestration (e.g. Kubernetes) compute storage and networking while ensuring platform reliability security compliance and observability.

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 whats best for you and when it is important for your team to be together. 

Responsibilities:

• Design and build platform services and infrastructure automation tools to support large-scale deployments

• Collaborate on technical strategy and roadmap to improve infrastructure scalability performance and reliability

• Implement Infrastructure-as-Code (IaC) and CI/CD best practices to improve deployment efficiency and consistency

• Diagnose and resolve complex system-level and 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 platform solutions

• Develop and maintain distributed systems supporting compute storage networking and cloud infrastructure

• Establish and track success metrics for projects and products to measure system reliability and performance

Qualifications :

Basic Qualifications:

• BS/BA degree in Computer Science Engineering or related technical field or equivalent practical experience

• 4 years of experience in software development infrastructure engineering or distributed systems

• 3 years of programming experience in object-oriented or functional languages such as Java Python Go C or Scala

• Experience working with cloud platforms (e.g. Azure AWS or GCP) containerization (e.g. Kubernetes) and distributed systems

• Experience with monitoring observability and infrastructure automation tools and practices

Preferred Qualifications:

• MS or PhD in Computer Science or related technical discipline

• 5 years of experience designing and developing highly available and scalable web or infrastructure applications

• Experience working with production-grade distributed systems and end-to-end monitoring and observability platforms

• Experience with object-oriented design coding and testing patterns using languages such as Java C or similar

• Experience improving performance availability and reliability of large-scale systems

• Experience with infrastructure domains such as networking compute storage or databases

• Understanding of performance patterns and common failure modes in distributed systems

• Experience contributing to technical strategy and roadmap planning for infrastructure or platform systems

• Experience collaborating with stakeholders across engineering and product teams

• Experience mentoring engineers to improve technical execution and career development

Suggested Skills:

• Distributed Systems and Infrastructure Engineering

• Cloud Platforms and Containerization (e.g. Azure Kubernetes)

• Infrastructure Automation and CI/CD

• Observability and System Reliability Engineering

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