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.As part of our world-class software engineering team, you will be building the next-generation observability platforms for LinkedIn, including but not limited to instrumenting applications and infrastructure to collect meaningful metrics, logs, and traces; Collaborate with development teams to ensure consistent and comprehensive instrumentation across all systems; Develop and maintain libraries, frameworks, and tools to simplify instrumentation. You will work and learn among the best, putting to use your passion for building and scaling observability platforms and your passion for writing code that performs at an extreme scale - come join our Observability Engineering team and share the knowledge with a broader community, while making a real impact within LinkedIn.The Observability Experience (OE) group is charted to simplify and drive observability for LinkedIn. The Observability Platforms (sub team of OE) is responsible for billions of operational metrics ingested every minute within LinkedIn. The Observability Experience team builds and maintains the observability platform responsible for metrics, logs, and traces. We create intuitive UI visualizations and effective troubleshooting tools using React, Grafana, and Go. Our mission is to help engineers quickly understand system behavior, triage issues, and resolve incidents with confidence.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:- Work on both front-end and API layers for internal observability tools and applications- Work with a world class team of software and systems engineers building visualizations that provide innovative insights into the observability ecosystem of LinkedIn.- Collaborate with partners and internal customers to iterate and enhance current applications and features.- Develop & contribute to coding efforts, producing high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.- Contribute to engineering innovations that fuel LinkedIn’s vision and mission.Basic Qualifications- BA/BS Degree in Computer Science or a related technical discipline, or equivalent practical experience.- 4+ years of programming experience in a programming language such as Golang or Python.- Experience with Full Stack Web Development using JavaScript frameworks like React- Experience with building APIs using programming languages like Golang/Python etc.- Experience building web applications and services at scale.Preferred Qualifications- Masters/PhD in Computer Science or a related technical discipline, or equivalent practical experience.- Experience in building infrastructure, working with data, and web services on a large scale.- Full-stack software engineering experience, including development of APIs- Good knowledge of TypeScript, JavaScript and React.js.- Experience in data platform/pipeline related domain(s).Suggested Skills- React.js, JavaScript, TypeScript- Golang/Python- Large-scale infrastructure- Productivity tools such as cursor/windsurf etc.India Disability PolicyLinkedIn 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.pdfGlobal Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal
