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.

This role will be based in New York, NY.

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.

Productivity Engineering is a team at LinkedIn that builds products that power LinkedIn’s business. We drive technology vision, architecture, and design for systems that help the company deliver on major business processes (go-to-market, sales, finance, and customer support). We deliver products that let our customers do business with us in a seamless way, help grow our top line, and increase our efficiency.

We are looking for driven and passionate software engineers for our Customer Operations Productivity Engineering (COPE) team. We are building the next generation customer support ecosystem for LinkedIn by automating business solutions and processes that provide service/support intelligence, boost revenue, and improve leverage while working collaboratively within cross-functional engineering and business teams. The systems we build support thousands of internal users (sales/support reps) and millions of external users (enterprise and consumer customers) using 25 different languages, via scalable tools & technology. We help review business requirements, drive system design, implementation, integration and develop optimal solutions for unique enterprise problems.

As a Staff software engineer in team COPE (Customer Operations Productivity Engineering), you will build cloud-native applications and microservices to improve customer operations. These tools/services will directly impact the daily workflow of our agents who support our 700+ million customers and will, in turn, ease business intelligence, boost revenue, and improve leverage. The candidate is expected to design, implement, and operate high-quality systems with frequent automated deployments. We are looking for a results-driven candidate who can help coach team members and deliver at the highest levels of quality and craftsmanship with a sense of urgency and ownership.. The ideal candidate will be excited for the challenge to transform and think critically on delivering 24x7 reliability and continuous integration.

Responsibilities:

• Develop, enhance, debug, support, analyze, maintain, and test new/existing functionality

which supports internal business units or supporting functions

• Design, document, build, test, and deploy mid tier applications that help automating business

processes which don’t necessarily need any human intervention to improve productivity and

efficiency

• Partner with project management and operations team to deliver against the rising needs of

the business

• Resolve complex technical issues by taking ownership and collaborating with various internal

teams when necessary

• Participate in all phases of the software development lifecycle, including discovery, analysis,

requirements definition, solution design, configuration, code development, testing,

deployment, and support.

• Work independently to make decisions regarding resolution of issues

• Review upcoming product releases as well as other integrated applications and provide

recommendations when necessary to enhance efficiency and productivity

• Upskill internal team members by leading knowledge transfer sessions

• Lead technical design reviews/approvals on behalf of a team

• Consistently deliver output with a high-degree of craftsmanship

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.

• Experience working on process improvement projects using custom automation tools for e.g.

robotic process automation/software robotics, event sourcing, process mining, automated

timekeeping, sentiment analysis, real time language translation etc.

• Experience with data warehousing and mining, preferably with Hadoop and or Azure

DataLake

• Experience with Artificial Intelligence/Machine Learning/LLM Models

• Experience integrating systems through APIs using REST/SOAP protocols

• Experience with persistent storage for e.g SQL or NoSQL databases, blob, containers etc.

• Experience with cloud computing preferably Azure

• Experience with continuous integration and delivery, preferably with Azure DevOps

• Full stack development experience, preferably React/Typescript in FE and .Net core MVC for

backend

• Experience working in a high-growth, performance-focused environment

• Excellent interpersonal skills for cross functional collaboration

• Team-first attitude and drive to add value

• Experience with Power Platform (power automate, power virtual agents, Dynamics 365)

• Experience with enterprise business applications and concepts like CRM, ERP, Quote to

Order, Order to Cash etc

Suggested Skills:

• Technical Leadership

• Architectural Mastery

• Code Review and Quality Assurance

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 $144,000 - $235,000. 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. For additional information, visit: https://careers.linkedin.com/benefits.

Equal Opportunity Statement

LinkedIn 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/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.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 interview

A 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 Statement

As 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 Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice