Next Matter
Software Engineering Manager, Systems and Infrastructure
Next Matter, California, Missouri, United States, 65018
Overview
LinkedIn is the world01s 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. Join us to challenge yourself with work that matters. This role will be based in Mountain View, Bellevue, or San Francisco. LinkedIns 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. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry-standard open-source infrastructure products like Kubernetes, GRPC and GraphQL. Come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities
Lead, coach and manage core team of engineers working on building the infrastructure. Participate with senior management in developing a long-term technology roadmap for the team and company. Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. Communicate and collaborate effectively with stakeholders across engineering and business leadership. Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality. Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years of industry experience in software design, development, and large-scale software engineering Experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API ds Preferred Qualifications
MS or PhD in Computer Science or related technical discipline 2+ years of hands-on software engineering/technical management and people management experience 7+ years industry experience in software design, development, and algorithm related solutions. 5+ years programming experience in languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Experience in architecting, building, and running large-scale distributed systems Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice Experience with open-source project management and governance Suggested Skills
Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python 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. Compensation and Benefits
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $200,000 - $268,000. 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 and Accessibility
Equal Opportunity Statement: We seek candidates with a wide range of perspectives and backgrounds and we are 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 committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com with the specific accommodation requested. A request will be responded to within three business days. Pay Transparency Policy Statement: As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates: https://lnkd.in/GlobalDataPrivacyNotice
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LinkedIn is the world01s 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. Join us to challenge yourself with work that matters. This role will be based in Mountain View, Bellevue, or San Francisco. LinkedIns 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. As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry-standard open-source infrastructure products like Kubernetes, GRPC and GraphQL. Come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. Responsibilities
Lead, coach and manage core team of engineers working on building the infrastructure. Participate with senior management in developing a long-term technology roadmap for the team and company. Have the ability to dive deep into technical discussions to challenge the status quo, and steer the team in the right direction/to push the envelope. Communicate and collaborate effectively with stakeholders across engineering and business leadership. Help the team realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills. Drive a culture of operational excellence. Lead the team into defining performance goals, metrics and building the infrastructure and tooling necessary to maintain a high quality bar and detect issues in real time. Create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for quality. Basic Qualifications
BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training 5+ years of industry experience in software design, development, and large-scale software engineering Experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Hands on experience developing distributed systems, databases, large scale data systems and/or Backend API ds Preferred Qualifications
MS or PhD in Computer Science or related technical discipline 2+ years of hands-on software engineering/technical management and people management experience 7+ years industry experience in software design, development, and algorithm related solutions. 5+ years programming experience in languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages. Experience in architecting, building, and running large-scale distributed systems Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice Experience with open-source project management and governance Suggested Skills
Distributed systems Backend Systems Infrastructure Java/Golang/Rust/Python 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. Compensation and Benefits
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $200,000 - $268,000. 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 and Accessibility
Equal Opportunity Statement: We seek candidates with a wide range of perspectives and backgrounds and we are 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 committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com with the specific accommodation requested. A request will be responded to within three business days. Pay Transparency Policy Statement: As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates: https://lnkd.in/GlobalDataPrivacyNotice
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