Scribd
Scribd

25 Scribd Information Technology Jobs Hiring Near You

Showing results 21-25

Scribd Jobs Information

What are the key skills and qualifications needed to thrive in Information Technology, and why are they important?

To thrive in Information Technology, you need a solid understanding of computer systems, networking, programming, and cybersecurity, often supported by a relevant degree or certifications such as CompTIA, Cisco, or Microsoft. Familiarity with operating systems, cloud platforms, and IT management tools is typically essential in the field. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills that help IT professionals excel. These skills and qualifications are important for ensuring reliable technology operations, effective troubleshooting, and successful collaboration with both technical and non-technical stakeholders.

What are some common challenges faced by Information Technology professionals in a rapidly changing tech environment?

Information Technology professionals often encounter challenges such as keeping up with fast-evolving technologies, managing cybersecurity threats, and adapting legacy systems to modern requirements. Staying current often requires ongoing professional development, certifications, and a proactive approach to learning. Additionally, IT professionals must communicate effectively with both technical and non-technical stakeholders to ensure smooth project delivery and system integration.

What is Information Technology (IT)?

Information Technology (IT) refers to the use of computers, networks, storage, and other physical devices, infrastructure, and processes to create, process, store, secure, and exchange all forms of electronic data. IT is commonly used in the context of business operations, where it supports a wide range of functions including software development, technical support, network administration, and cybersecurity. IT professionals help organizations manage and utilize technology to solve problems, improve efficiency, and drive innovation. The field is broad and constantly evolving, offering various career paths in both technical and managerial roles.

What professions make $500,000 a year?

In the field of Information Technology, high-paying roles such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), and senior software engineering executives can earn $500,000 or more annually, especially with extensive experience, leadership responsibilities, and stock options. These positions often require advanced skills, certifications, and a track record of managing large teams or strategic initiatives.

What type of careers are in information technology?

Careers in information technology include roles such as software developers, network administrators, cybersecurity analysts, systems analysts, database administrators, and IT support specialists. These positions often require knowledge of programming, networking, security protocols, and certifications like CompTIA or Cisco, and may involve working in office, remote, or data center environments.

What is the difference between Information Technology vs Network Administrator?

AspectInformation TechnologyNetwork Administrator
Required CredentialsIT certifications (e.g., CompTIA A+, Network+, Cisco, Microsoft)Networking certifications (e.g., Cisco CCNA, CompTIA Network+)
Work EnvironmentOffice settings, data centers, remote workServer rooms, network infrastructure sites, office networks
Employer & Industry UsageTech companies, corporations, government agenciesOrganizations with complex network infrastructure, ISPs
Common Search & ComparisonYesYes

While both roles involve working with technology, Information Technology is a broad field covering hardware, software, and systems management, whereas Network Administrators focus specifically on managing and maintaining computer networks. IT professionals often handle a variety of tech-related tasks, while Network Administrators specialize in network infrastructure, ensuring connectivity and security.

What are the most popular job types at Scribd?
    What are the most popular categories at Scribd?
    Infographic showing various Information Technology job openings at Scribd in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
    Senior Software Engineer (Python + Distributed systems)

    Senior Software Engineer (Python + Distributed systems)

    Scribd, Inc.

    Chicago, IL

    $126.20K - $166.40K/yr

    Full-time

    Medical, Dental, Vision, Retirement, PTO

    Posted 12 days ago


    Job description

    Scribd, Inc. is on a mission to advance human understanding. Our four products - Scribd, Slideshare, Everand, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.

    Culture at Scribd, Inc.

    We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

    We believe the best work happens when individual flexibility is balanced with meaningful community connection. Scribd Flex empowers employees to choose the workstyle and location that support their best performance, while committing to intentional in-person moments that strengthen collaboration and culture. Occasional in-person attendance is required for all Scribd, Inc. employees, regardless of location.

    So what are we looking for in new team members? At Scribd, Inc., we hire for "GRIT." Traditionally defined as the intersection of passion and perseverance toward long-term goals, GRIT reflects the mindset we expect from every employee. For us, it also serves as a practical framework for how we work: setting and achieving Goals, delivering Results within your role, contributing Innovative ideas and solutions, and strengthening the broader Team through collaboration and attitude.

    This posting reflects an approved, open position within the organization.

    At Scribd (pronounced "scribbed"), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.

    We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer.

    We love collaborating and investing time in our Scribd community, and we create intentional in-person moments with each other to build culture and connection. And, it is through our flexible work benefit - Scribd Flex - that we enable employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences.


    About the team:

    The ML Data Engineering team powers metadata extraction, enrichment, and content understanding across all Scribd brands. We process hundreds of millions of documents, billions of images, and deliver high-quality metadata to enable content discovery and trust for millions of users worldwide.

    Our systems operate at massive scale, supporting diverse datasets like user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, collaborating closely with applied research and product teams to deploy scalable ML and LLM-powered solutions in production.

    Role Overview:

    We're seeking a Senior Software Engineer with deep experience building event-driven, distributed, and scalable systems in Python. In this role, you'll design and optimize large-scale data and service pipelines running on AWS, supporting Scribd's content enrichment and metadata systems. You'll work closely with cross-functional teams to design reliable backend services that integrate machine learning models and LLM-based components when needed. This role offers the opportunity to work on cutting-edge generative AI and metadata enrichment problems at a truly global scale.

    Tech Stack:

    Our backend systems are primarily built in Python, leveraging AWS services such as Lambda, ECS, SQS, and ElastiCache for event-driven and distributed processing. We also use Airflow, Spark, Databricks, Terraform, and Datadog for orchestration, data processing, and observability.

    Key Responsibilities:

    • Provide technical leadership, mentorship, and guidance to engineers across the organization, driving secure coding best practices.

    • Lead the design, implementation, and scaling of event-driven, distributed systems to extract, enrich, and process metadata from large-scale document and media datasets.

    • Partner with Data Science, Infrastructure, ML Engineering, and Product teams to architect and deliver robust systems that balance scalability, high performance, and rapid iteration.

    • Contribute to the team's engineering strategy, identifying gaps, proposing new initiatives, and improving existing frameworks.

    • Build and maintain scalable APIs and backend services for high-throughput content processing.

    • Leverage AWS services (ECS, Lambda, SQS, ElastiCache, CloudWatch) to design and deploy resilient, high-performance systems.

    • Optimize and refactor existing backend systems for scalability, reliability, and performance.

    • Ensure system health and data integrity through monitoring, observability, and automated testing.

    Requirements:

    • 7+ years of professional software engineering experience with a focus on backend or distributed systems development.

    • Strong proficiency in Python (5+ years). Experience with Scala is a plus.

    • Expertise in designing and architecting large-scale event-driven and distributed systems

    • Strong cloud expertise with AWS services (ECS, Lambda, SQS, SNS, CloudWatch, etc.).

    • Experience with infrastructure-as-code tools like Terraform.

    • Solid understanding of system performance, profiling, and optimization.

    • Experience leading technical projects and mentoring engineers

    • Bachelor's degree in Computer Science or equivalent professional experience.

    • Bonus: Familiarity with data processing frameworks (Spark, Databricks) and workflow orchestration tools.

    • Bonus: Experience integrating ML or LLM-based models into production systems.

    At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $146,500 [minimum salary in our lowest geographic market within California] to $228,000 [maximum salary in our highest geographic market within California].

    In the United States, outside of California, the reasonably expected salary range is between $120,000 [minimum salary in our lowest US geographic market outside of California] to $217,000 [maximum salary in our highest US geographic market outside of California].

    In Canada, the reasonably expected salary range is between $153,000 CAD[minimum salary in our lowest geographic market] to $202,000 CAD[maximum salary in our highest geographic market].

    We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

    Working at Scribd, Inc.

    Are you currently based in a location where Scribd, Inc. can employ you?
    Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance:


    United States:

    Atlanta | Austin | Boston | Dallas | Denver | Chicago | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C.

    Canada:

    Ottawa | Toronto | Vancouver

    Mexico:

    Mexico City

    Benefits at Scribd, Inc.

    • Scribd Flex (flexible work model)

    • Comprehensive health, dental, and vision coverage

    • Mental health support and disability coverage

    • Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals

    • Paid parental leave and family support benefits

    • Retirement matching and employee equity

    • Learning and development programs and professional growth opportunities

    • Wellness and home office stipends

    • Complimentary access to the Scribd, Inc. suite of products

    • Enterprise access to leading AI tools

    Get to Know Scribd, Inc.
    About Scribd, Inc.
    Life at Scribd, Inc.

    We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

    Scribd, Inc. is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.