Job Title: Software Engineer Intern

Company Name: SpecterOps

Job Url: https://job-boards.greenhouse.io/specterops/jobs/8490047002

Job Description: Software Engineer Intern
Remote, United States
SpecterOps is a cybersecurity solutions and services provider specializing in deep knowledge of adversary tradecraft to help clients detect and defend against sophisticated attackers. We are seeking motivated and curious students or recent graduates to join us for a summer internship. If you have a passion for cybersecurity, we want to hear from you! 

Internships at SpecterOps aim to offer students industry exposure and hands-on experience. You will partner closely with industry experts and be exposed to innovative solutions, research and tools that will further enhance your knowledge and prepare you to add value as a professional in our industry.   

This year we are inviting a Software Engineering intern to join our Internal and Community Projects team. The summer internship program will run for 11 weeks, beginning June 1, 2026, through August 14, 2026 & successful candidates must be able to commit for the entire length remotely with in the United States. 

Salary Range: $35.00 hourly 

Location: This position is remote, based in the U.S.   

Candidate must be authorized to work and reside in the United States; we do not currently sponsor immigration visas.   
What you’ll be doing:   

Collaborate with engineers and security practitioners to build integrations between large language models (LLMs) and open-source tools such as Ghostwriter and Mythic C2 
Assist in developing backend services (e.g., MCP servers or similar middleware) in Go and Python to securely connect assessment data with AI systems  
Work on features that support cybersecurity reporting and analysis, such as:  
Generating executive summaries and engagement reports  
Drafting technical narratives from assessment activity  
Identifying patterns and trends across security assessments  
Supporting visualizations like attack path timelines  
Gain hands-on experience with Docker and AWS Bedrock while working with real application infrastructure  
Explore how LLMs can be applied to structured and unstructured data from security assessments  
Contribute to prototyping, testing, and improving AI-driven features in a collaborative environment  
Gain exposure to offensive security concepts, assessment workflows, and adversary tradecraft through the data and systems you’ll be working with  
Engage in knowledge sharing sessions and actively seek opportunities for professional growth 
Qualifications:   

Currently pursuing an Undergraduate or Graduate degree in Computer Science, Cybersecurity, Data Science, or a related technical field  
Ability to commit to a 11-week internship (20–30 hours weekly)  
Experience with Python and/or Go (through coursework, projects, or internships)  
Comfortable writing code and working through technical problems  
Interest in cybersecurity and how real-world assessments are conducted  
Curiosity about AI/ML or large language models and how they can be applied to real data  
Ability to learn quickly and work both independently and collaboratively  
Desire to embody our core values of passionate curiosity, consistent improvement, empathy, sustainability, humility, and empowerment through transparency 
Nice to haves   

Familiarity with Docker or containerized environments  
Exposure to AWS or other cloud platforms  
Experience with APIs, data processing, or backend development  
Basic understanding of LLMs or generative AI concepts  
Previous exposure to cybersecurity concepts, tools, or coursework  
Interest in combining software engineering, data analysis, and cybersecurity  
Strong problem-solving skills and a passion for learning new technologies 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.   

To request reasonable accommodations, please contact us at careers@specterops.io   

Unsolicited resumes are not accepted

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