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.
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 what’s best for you and when it is important for your team to be together.
This role will be based in our Mountain View, CA campus.
At LinkedIn, we’re hiring a staff software engineer to develop and manage infrastructure business operations software and data systems from concept through its production life-cycle. This is a great opportunity to join a globally recognized company experiencing significant growth, and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greater!
The successful candidate will lead, build, and manage development and operations of software/data/process solutions to transform data center infrastructure engineering and operations, specifically, hardware forecasting, power capacity planning, financial planning and management, sourcing/procurement/supply-chain management, hardware fulfillment and asset life-cycle management. The candidate will focus on both long-term decisions and the prioritization and execution of short-term actions.
Roles and responsibilities
· Drive Strategy and Vision: Develop the vision and define strategic roadmaps for transforming data center infrastructure operations, leading initiatives to improve business efficiency and operations.
· Analyze and Innovate: Evaluate the current state of systems, identify gaps and opportunities for improvement, and design high-impact solutions. Collaborate with stakeholders to align objectives, plan development, prioritize features, and execute with precision.
· Champion Customer Success: Advocate for customer outcomes, ensuring that solutions deliver measurable ROI and tangible business benefits.
· Architect and Build Distributed Systems: Design and develop distributed applications, making architectural decisions that balance synchronous and asynchronous design patterns. Write high-quality code, ensuring timely delivery with a focus on performance and reliability.
· Develop Scalable Applications: Build multi-tier, user-centric applications that are scalable, high-performing, and reliable, ensuring 24x7 uptime for mission-critical systems.
· Design Backend Systems and APIs: Create robust data models, schemas, and APIs to support seamless backend operations, ensuring efficient data flow and system integration.
· Create Reusable UI/UX Components: Develop and maintain a consistent, reusable UX/UI pattern library to standardize common workflows such as search, list, CRUD operations, reporting, and analytics across applications.
· Ensure Code Quality and Best Practices: Deliver high-quality software that is thoroughly unit tested, code reviewed, and regularly integrated into the development pipeline for continuous integration.
· Provide Technical Leadership: Lead by example, establishing and driving best engineering practices to plan, initiate, and execute large-scale, cross-functional projects.
· Improve Engineering Productivity: Identify and champion opportunities to enhance engineering efficiency and productivity through process improvement, tool development, and knowledge sharing.
· Mentor and Develop Team Members: Mentor junior engineers, guiding them on coding standards, design patterns, and operational best practices to foster growth and improve team capability.
· Support Production Systems: Provide on-call and production support for deployed systems, ensuring operational stability and addressing issues promptly.
Basic qualifications
· BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience
· 5+ years of experience in software design, development, and algorithm related solutions such as database design and development, API development and integration, distributed systems development, version control and software development collaboration tools, etc
· 5+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
Preferred qualifications:
Database design and development
· Strong knowledge of database design, data models, schema creation, and optimization.
· Expertise in relational, document-oriented and time series databases such as MySQL, PostgreSQL, Redis, Couchbase, Cassandra, MongoDB)
· Experience with data migration, ETL processes, and database scaling for large datasets.
API Development and Integration
· Experience designing, building, and maintaining RESTful APIs or GraphQL services.
· Strong understanding of API security, authentication (OAuth, JWT), and performance best practices.
· Experience in integrating third-party APIs and services.
· Proficiency in back-end languages (e.g., Python, Go, Node.js, Java) for building scalable services.
UI/UX Development
· Proficiency with front-end technologies such as HTML5, CSS3, JavaScript (ES6+), TypeScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js).
· Experience with responsive design, cross-browser compatibility, and web accessibility.
· Understanding of design principles and experience collaborating with UI/UX teams to implement intuitive user interfaces.
· Familiarity with front-end state management (e.g., Redux, Vuex) and component-based architecture.
Distributed Systems Development
· Experience building and deploying distributed, scalable, and fault-tolerant systems.
· Familiarity with microservices architecture, event-driven design, and message brokers (e.g., Kafka, RabbitMQ).
· Understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
· Experience with load balancing, caching, and scaling strategies to ensure high availability and performance.
Version Control and Collaboration Tools
· Proficiency with Git and experience in collaborative workflows (e.g., GitFlow, Pull Requests).
· Experience using issue tracking, CI/CD pipelines, and task management tools (e.g., JIRA, GitHub).
Familiarly with LLM Application Stack
· LLMs (GPT, Llama, Gemini)
· Vector databases (Qdrant, ElasticSearch)
· Embedding models (Hugging Face, MixedBread)
· Orchestration tools (LlamaIndex, LangChain)
Suggested Skills:
· Database design and development
· API Development and Integration
· UI/UX Development
· Distributed Systems Development
· Version Control and Collaboration Tools
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $147,000-240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
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