Top Entry Level Cybersecurity Jobs in Pittsburgh, PA

Join small Agile teams to help design, develop, test, and maintain internal business applications. Contribute to existing codebases, troubleshoot issues, support bug fixes, and produce basic documentation while learning from senior developers.

The Sales Development Representative will generate qualified meetings, manage lead flow, conduct discovery conversations, and mentor new hires. Responsibilities include collaborating on strategies and utilizing Salesforce.

Protect CrowdStrike intellectual property by detecting and investigating eCommerce fraud. Build and maintain Snowflake data pipelines and SQL queries, develop rules-based risk engines, leverage Python and AI/LLM tools for detection, triage incidents, communicate findings across stakeholders, and refine automated workflows to reduce fraud and onboarding vulnerabilities.

The Product Support Specialist will provide technical support, assist customers with problem-solving, assess and escalate issues, and provide follow-up to ensure resolution. They will collaborate with the team to deliver excellent customer service and contribute to product knowledge.

As a Business Development Representative, you will engage with and qualify potential customers, using CRM tools and your communication skills to impact sales success.

The Credit Card Sales Advisor drives sales through inbound and outbound calls, providing guidance on lending needs and managing customer relationships in a fast-paced call center environment.

Design and develop embedded firmware for memory and SoC platforms, implement/debug software, and collaborate on system testing.

Akeyless invites candidates to submit their resumes for future consideration of opportunities that match their skills, with no specific qualifications required.

Empirical is seeking individuals interested in contributing to their team, even if they don't meet all qualifications. They're focused on inclusivity and diverse applications.

Data Labelers will perform image quality assessments, ID verification, fraud evaluation, and label machine-learning data with accuracy while working independently and collaboratively to meet deadlines.