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Sr Staff Software Engineer, Systems Infrastructure

LinkedIn

LinkedIn

Software Engineering, Other Engineering
Bengaluru, Karnataka, India · Bengaluru, Karnataka, India
Posted on Thursday, June 13, 2024
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth.

The Tracking Team at LinkedIn is responsible for instrumenting & collecting accurate data of how LinkedIn users interact with our web & mobile applications. Data scientists use the tracking data to gain business insights, Product Managers use them to understand customer behavior and AI engineers use them to build relevance models to improve our products and services. Inaccurate data severely impacts decision making at LinkedIn. We collect data which is revenue sensitive and it is also used to report core 4 metrics of the company. We are building a next generation Tracking platform to efficiently collect interaction data for our billion plus users cutting across multiple technology stacks (mobile, applications, infrastructure) and generate insights in near real time.

This role will be based in Bangalore

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

Responsibilities:

- Provide technical leadership by architecting and building large-scale distributed systems.
- Design, optimize and implement distributed systems keeping security and compliance in mind.
- Own the technical strategy for broad or complex requirements that requires collaboration across orgs and solve large open-ended problems.
- Act as a role model, provide architectural guidance and mentorship to up-level the engineering organization.
- Work closely with leadership and influence the technical roadmap of multiple initiatives.
- Actively improve the craft of the org by defining, developing and implementing best practices
- Follow industry trends and incorporate them whenever required.
- Influence the open-source community.

Basic Qualifications:

- B.Tech / B.E (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
- 13+ years of industry experience
- Experience in mentoring/leading junior engineers
- Experience architecting, building, and running large scale systems
- Excellent communication and interpersonal skills
- Expert knowledge in computer science, with strong competencies in data structures, algorithms, and software design, architecture.

Preferred Qualifications:

- 13+ years of relevant work experience with 6+ years in a technical leadership role.
- MS or PhD in Computer Science or related technical discipline
- Experience working with open-source projects and/or academic research in large-scale distributed systems.
- Proven track record of delivering large scale distributed systems to production. Ability to distill complex technical solutions into understandable literature and influence leadership.
- Experience in leading cross-org, cross-functional efforts and successfully delivering transformational technology for hard problems.
- Deep expertise with Hadoop or related ingestion, streaming technologies in Big data ecosystem (e.g. HDFS, YARN, Spark, Trino, Gobblin, Kafka, Flink) or with distributed databases.
- Experience in application or leveraging AI in solving complex technical problems, and delivering it latency aware production systems.

Suggested Skills:
- Big Data Technologies
- Backend Systems Infrastructure
- Java

You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels


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 for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal