Sr. Staff Software Engineer (Sales Productivity Engineering)

Sr. Staff Software Engineer (Sales Productivity Engineering)

24 Aug 2024
California, Mountainview, 94035 Mountainview USA

Sr. Staff Software Engineer (Sales Productivity Engineering)

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.We are Sales Systems Engineering, a product engineering organization focused on creating innovative solutions that enhance productivity for LinkedIn's Sales organization. Our products are built on a distributed microservices platform that integrates Azure cloud components with LinkedIn's native infrastructure. By seamlessly blending automation with intelligence through workflows and AI/ML, we deliver an exceptional user experience for our products.We are looking for driven and passionate engineers to build on our incredible momentum. As a Sr. Staff Software Engineer, you will play a pivotal senior role on our team. You are results-driven and can help coach team members to deliver at the highest levels of quality and craftsmanship with a sense of urgency and ownership. You will be instrumental to shaping the strategy and vision of our organization as LinkedIn’s business and technology landscapes evolve and shift. Responsibilities:Drive innovation by architecting, designing, building and shipping software that boost the productivity of our users.Supply technical leadership and leverage the best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Develop new strategies to improve internal processes and implement optimal solutions through technology and tool sets. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. You will provide technical leadership to other members of the team and across the broader R&D Organization through championing engineering best practices, providing technical mentorship, and embodying LinkedIn’s values day-to-day.You will be an advocate for both raising and upholding the standards of product health and reliability through enhanced validation.Basic Qualifications:BA/BS Degree in Computer Science or related technical discipline, or related practical experience.5+ years of experience in software design, development, and algorithm related solutions5+ years of experience in programming languages such as Python, Java, C/C, C#2+ years of experience in an architect or technical leadership position Preferred Qualifications:BS and 10+ years of relevant work experience, MS and 8+ years of relevant work experience, or PhD and 6+ years of relevant work experience.Experience architecting and launching large complex projects.Experience in data governance, data engineering, data lakes, and data warehouses.Experience with CI/CD pipelines and common deployment models and infrastructure.Experience designing and building applications infrastructure, understanding application validation and debugging methodologies at scale. Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth.Experience leading by influence, formulating and driving technical strategies across various organizations.Knowledge of (and a passion for) current trends and best practices in architecture, including performance, stability, and usability.Suggested Skills:Technical LeadershipBackend developmentPerformance Monitoring AutomationYou 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 $171,000 to $280,000. 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 StatementLinkedIn 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/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1CQxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCPEEOSupplementFinalJRFQA508c.pdf for more information.LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.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 interviewA 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.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.Pay Transparency Policy StatementAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.Global Data Privacy Notice for Job CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

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