Lead Engineer Jobs in Woodland Park, NJ

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. Job Description 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. You will be part of the highly-impactful Content Distribution team, which has a focus on distributing content-driven notifications, content curated or created by editors, and developing AI systems to distribute news at LinkedIn. This team is an important driver of business metrics, and we mostly work with Spark and Samza, while constantly collaborating with AI and infrastructure teams. Content Distribution is responsible for over half of the inapp notifications at LinkedIn, and you should have the appetite in leading the future of content distribution at LinkedIn by understanding best practices in industry for connecting members with the most relevant content. Responsibilities: • You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. • You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. • You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: • BA/BS Degree in Computer Science or related technical discipline, or related practical experience. • 4+ years of industry experience in software design, development, and algorithm related solutions. • 4+ years programming experience in languages such as Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc Preferred Qualifications: • BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. • 2+ years experience in designing and building nearline (e.g. Samza & Kafka) and offline (e.g. Spark) systems • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. • Comfortable onboarding to complex distribution systems like homepage feed, notifications, and email, with an attention to detail necessary to working with high-scale, data-intensive ecosystems • Experience with integration and development of AI systems • Knowledge of fundamental AI algorithms and experience building feature pipelines • Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: • Technical Leadership • Architectural Mastery • Code Review and Quality Assurance • Advanced Security Practices • Mentoring and Knowledge Sharing 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. 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 a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. 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