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Infrastructure, Security, and DevOps Engineer Intern (PLUTO IN AQUARIUS, Pack Intern, Summer 2026)

Nevada Career Studio
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SUMMER 2026 

 

**This internship is hosted by PLUTO IN AQUARIUS LLC and sponsored by the Nevada Career Studio (NCS). 

 

Students are highly encouraged to visit the Nevada Career Studio during our drop-in hours or use our Virtual Resume & Cover Letter Review service BEFORE applying for these positions. Resumes and cover letters that do not meet NCS expectations will not be included in applicant packages to employers.   

 

PLUTO IN AQUARIUS LLC 

 

About PLUTO IN AQUARIUS LLC: 

Pluto in Aquarius LLC (PIAVS) is a venture studio based in Reno, Nevada that builds AI-driven companies from the ground up. We combine domain expertise, proprietary data strategies, and modern AI development tools to create ventures that solve real, measurable problems at scale. 

 

Our current venture is building the first standardized condition and risk intelligence platform for residential real estate. We use large language models to parse complex property documents, integrate property-level climate risk data from First Street Foundation, and generate a transparent, auditable 0-to-100 property condition score. The platform runs on Next.js, Vercel, and Supabase, with AI document intelligence at its core. 

Summer 2026 interns will inherit a working demo built by our Spring 2026 cohort and take it from functional prototype to commercial-grade product. This is a production engineering challenge, not a greenfield build. That means hardening the architecture, closing security gaps, building for scale, and shipping features that real users will use at launch. 

 

Our development stack is AI-native. We build with Claude Code for agentic software development, Cursor AI for intelligent code editing, and Replit for rapid prototyping and collaborative iteration. Security is built into the pipeline from day one: we treat vulnerability scanning, secret management, and DevSecOps practices as baseline requirements, not afterthoughts. As the platform moves into production, we are building the networking and load balancing architecture required for high availability, including DNS configuration, firewall rules, and application load balancing. Students with MLOps experience will find opportunities to contribute to our machine learning lifecycle infrastructure as we move from prototype scoring models toward production-grade predictive systems. 

 

We move fast, give interns meaningful ownership of real product features, and expect higher-level thinking on architecture, security, and scale. If you want to work on hard problems with modern tools and see your code reach real users, this is the right place. 

 

Internship Description: 

Summer 2026 interns will take a working prototype built by our Spring 2026 cohort and deliver a commercial-grade platform ready for public launch. This is not a learning exercise. Interns will own real features, make real architectural decisions, and ship code that reaches real users before the internship ends. 

 

The platform uses large language models to parse complex property documents, integrates third-party climate and property data APIs, and generates a transparent, auditable condition score with a full homeowner dashboard. The technical surface covers AI document intelligence, full-stack web development, cloud infrastructure, and data pipeline architecture. 

 

Interns work directly with the founding team in a flat, fast-moving environment. There are no layers of management between an intern's code and production. Higher-level thinking on system design, security, and scalability is expected and will be used. 

 

This role owns production readiness. You will harden the platform architecture for real users, implement DevSecOps practices throughout the development pipeline, build the secrets management system, configure load balancing and DNS, and establish monitoring and alerting infrastructure. You will collaborate directly with the Full-Stack Product Engineer on deployment pipelines and staging environment configuration, and with the AI/Data Pipeline Engineer on data pipeline security and third-party API credential management. The platform launches to real users at the end of this internship. Your work is what makes that possible safely. 

 

Duties/Responsibilities: 

  • Complete 360 hours of work as an intern (32-40 hours per week, 9 weeks minimum) 
  • Inherit and assess the existing infrastructure built during the Spring 2026 demo, with full context transfer from the Spring 2026 cohort, and produce a prioritized security and reliability gap analysis within the first two weeks 
  • Design and implement a production-grade DevSecOps pipeline including automated vulnerability scanning, dependency auditing, and security testing integrated into the CI/CD workflow 
  • Build and maintain a secrets management system covering all third-party API credentials, database connection strings, and environment variables across development, staging, and production environments 
  • Configure and manage DNS, load balancing, and high availability architecture on Vercel to support commercial launch traffic with documented failover and recovery procedures 
  • Establish monitoring, alerting, and logging infrastructure covering application performance, error rates, API reliability, and security events 
  • Collaborate with the Full-Stack Product Engineer on deployment pipeline configuration, environment parity between staging and production, and frontend security hardening 
  • Collaborate with the AI/Data Pipeline Engineer on data pipeline security, secure credential handling for third-party API integrations, and infrastructure requirements for MLOps tooling 
  • Conduct security reviews of pull requests from all three interns with written feedback covering vulnerability exposure, credential handling, and infrastructure impact 
  • Document all infrastructure decisions, configuration choices, and runbooks sufficient for the founding team to operate and maintain the platform after the internship ends 
  • Write clean, documented, reviewable code and configuration following established contribution guidelines 
  • Participate in code reviews, architectural discussions, and sprint planning with the founding team 
  • Produce end-of-internship handoff documentation covering infrastructure architecture, security posture, incomplete work, and recommendations for the next development cycle 

 

Goals and Expectations of the Intern: 

By the end of the 12-week internship, this intern is expected to have: 

  • Delivered a production-ready infrastructure architecture that supports commercial launch with documented high availability, failover procedures, and recovery runbooks 
  • Implemented a fully functional DevSecOps pipeline with automated vulnerability scanning, dependency auditing, and security testing integrated into the CI/CD workflow before the end of week four 
  • Built and deployed a secrets management system covering all credentials and environment variables across all three environments with zero hardcoded secrets in the codebase at launch 
  • Configured DNS, load balancing, and monitoring infrastructure sufficient to support real user traffic at commercial launch with documented performance baselines and alerting thresholds 
  • Produced a comprehensive security gap analysis in week two and closed all critical and high severity findings before commercial launch 
  • Conducted security reviews on pull requests from all three interns throughout the internship with written feedback that demonstrably improved the security posture of the full codebase 
  • Produced infrastructure architecture documentation and operational runbooks sufficient for the founding team to operate and maintain the platform without additional engineering support after the internship ends 
  • Completed a structured end-of-internship knowledge transfer covering what was built, what was learned, and what remains for the next development cycle 

  

Beyond deliverables, this intern is expected to operate with early professional-level independence. That means proactively identifying infrastructure and security risks before they become incidents, raising concerns across all three roles when code or architecture introduces exposure, and treating the commercial launch date as a hard constraint that shapes every prioritization decision. The platform will have real users and real data at launch. The expectation is the security judgment and operational rigor of a senior engineer, not just task completion. 

 

Interns who perform at a high level will be considered for continued engagement with PIAVS ventures beyond the summer cycle. 

 

Required Qualifications: 

  • Must be a degree-seeking undergraduate OR graduate student at the University of Nevada, Reno after the Spring ‘26 semester  
  • Spring ‘26 or earlier graduates are not eligible for the Wolf Pack STEM Internship Program 
  • Student must be enrolled in a major or minor program in the following colleges: 
    • Agriculture, Biotechnology, and Natural Resources (CABNR) 
    • Business 
    • Engineering 
    • Science 
    • Public Health/Orvis 
  • Coursework in Computer Science, Computer Engineering, Cybersecurity, Information Systems, or a related STEM field 
  • Demonstrated proficiency in cloud infrastructure configuration and deployment, including hands-on experience with managed cloud platforms, serverless or edge deployment environments, and CI/CD pipeline design 
  • Working knowledge of DevSecOps practices including vulnerability scanning, dependency auditing, and security testing integrated into automated development pipelines 
  • Demonstrated experience with secrets management principles and tools including secure handling of API credentials, environment variables, and database connection strings across multiple deployment environments 
  • Working knowledge of networking concepts including DNS configuration, load balancing, firewall rules, and application security at the infrastructure level 
  • Experience with monitoring, alerting, and logging infrastructure including application performance monitoring and security event detection 
  • Experience with version control and collaborative development workflows using Git and GitHub 
  • Demonstrated ability to conduct security reviews of existing codebases and produce written findings with prioritized remediation recommendations 
  • Strong written and verbal communication skills sufficient for async remote collaboration, technical documentation, cross-role security feedback, and operational runbook authorship 

 

Preferred Qualifications: 

  • Experience with Vercel or equivalent edge deployment platforms including advanced configuration, environment management, and production traffic handling 
  • Familiarity with Supabase or equivalent managed database platforms including database security configuration, row-level security, and access control management 
  • Hands-on experience with container orchestration, service meshes, or application load balancer configuration in a production or research context 
  • Experience with infrastructure-as-code tooling including Terraform, Pulumi, or equivalent for reproducible, version-controlled infrastructure configuration 
  • Familiarity with OWASP security standards and web application security testing methodologies 
  • Experience conducting threat modeling or security architecture reviews for data-intensive consumer applications 
  • Hands-on experience with AI-native development tools including Claude Code, Cursor AI, or Replit 
  • Familiarity with compliance frameworks or data privacy requirements relevant to consumer platforms handling personally identifiable information 
  • Experience securing AI or LLM-powered application pipelines including prompt injection defense, API gateway security, and model output validation 
  • Prior internship, research, or project experience in proptech, fintech, insurtech, or security-focused engineering roles 
  • Demonstrated ability to deliver independently in a fast-moving, resource-constrained environment such as a startup, research lab, or competitive engineering program 

 

Desired Schedule for Intern: 

Full-time, 32-40 hours per week over 12 weeks, May 18 through August 8, 2026. Core collaboration hours are Monday through Friday, 9am to 3pm Pacific time, with flexibility outside that window for focused individual work. Interns are expected to be available for daily async check-ins and weekly synchronous team meetings during core hours. 

 

The schedule is remote-first but interns based in the Reno area are encouraged to participate in periodic in-person working sessions with the founding team. 

 

 

Pack STEM internships require interns to complete 360 hours during their internship. It is the intern’s responsibility to ensure this requirement is met.