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Internship Redis Jobs in Reston, VA (NOW HIRING)

Internship Redis information

See Reston, VA salary details

$7

$16

$24

How much do internship redis jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship redis in Reston, VA is $16.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.00 per hour, depending on experience, location, and employer.

What is the difference between Internship Redis vs Internship Data Engineer?

AspectInternship RedisInternship Data Engineer
Required CredentialsBasic programming, understanding of databasesProgramming, database management, possibly some certifications
Work EnvironmentTech companies, startups, data teamsData teams, analytics departments, tech firms
Industry UsageUsed for caching, real-time data processingData pipeline development, data storage, analysis

Internship Redis focuses on learning in-memory data structure stores used for caching and real-time data, while Internship Data Engineer involves building data pipelines and managing large datasets. Both roles require programming skills, but Data Engineer internships often demand more in-depth knowledge of databases and data architecture. Understanding these differences helps candidates choose the right internship based on their career goals and skill levels.

What are popular job titles related to Internship Redis jobs in Reston, VA?

For Internship Redis jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Internship Redis jobs in Reston, VA look for?

The top searched job categories for Internship Redis jobs in Reston, VA are:

What cities near Reston, VA are hiring for Internship Redis jobs?

Cities near Reston, VA with the most Internship Redis job openings:

Infographic showing various Internship Redis job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $35,328 per year, or $17 per hour.

Software Engineer, Early Career - AI Platform

Brivo

Bethesda, MD • On-site

$120K - $144K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Description
You'll join the team building Brivo's AI platform—the services, integrations, and guardrails that bring intelligent, natural-language capabilities to our core Access Control and Video products. This is a hands-on role where you'll write production code from day one, learn how large-scale systems are built and operated, and grow alongside experienced engineers who will mentor you through design reviews, code reviews, and real production work. We're looking for someone curious, eager to learn, and excited about AI—someone who picks up new technologies quickly, asks good questions, speaks up, and thrives in a fast-paced environment.

You will join a high-impact team building the next generation of AI-powered experiences on Brivo's platform. This team helps customers get more value from their access control and video systems by making buildings and their data intelligible and actionable through AI—working on capabilities ranging from LLM orchestration and safety guardrails to tools that let AI agents interact with the platform. You'll get broad exposure to modern backend, cloud, and AI engineering.

Responsibilities
  • Spend the majority of your time coding. You'll build and maintain features in production API services using Node.js/TypeScript and Express, with support and mentorship from senior engineers.
  • Contribute to our LLM and generative AI features—helping implement prompt logic, tool/function calling, and agent workflows—and learn how they run safely at scale.
  • Help build and test AI safety guardrails (e.g., prompt-injection and data-exposure checks) and tooling that lets AI agents interact with the platform.
  • Participate actively in code reviews and design discussions, learning to document decisions and raise the quality bar over time.
  • Write and maintain automated tests (unit and integration) and help troubleshoot issues in development and production environments.
  • Work within an Agile team—joining sprint planning, backlog grooming, and feature reviews—and collaborate with product managers, designers, and QA to deliver high-quality features.
  • Learn our cloud and deployment practices, including AWS, CI/CD pipelines, PostgreSQL, and Redis, and grow into owning your own components.

Qualifications
Required
  • BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience (bootcamp, self-taught, or comparable).
  • Solid programming fundamentals in at least one modern language (JavaScript/TypeScript, Python, Java, or similar), plus a working understanding of data structures, algorithms, and how web/API services work.
  • A university project, capstone, internship project, or personal side project you can demonstrate and discuss in depth—ideally one that involves AI/LLMs (e.g., a chatbot, agent, RAG app, or an app built on an LLM API).
  • Foundational understanding of generative AI / LLM concepts—prompting, tool/function calling, and the basics of how models are used in applications.
  • Familiarity with relational databases (e.g., PostgreSQL) and basic SQL.
  • Comfort with Git and collaborative development workflows.
  • Strong written and verbal communication skills, and genuine eagerness to learn and take feedback.
Highly Desirable / Nice to Have
  • Hands-on experience—even in a school or side project—with an LLM provider API (e.g., Anthropic Claude, OpenAI) or an agent framework (e.g., LangChain/LangGraph).
  • Exposure to MCP (Model Context Protocol) servers or building tools/plugins that let an LLM call external functions.
  • Any experience with Node.js/TypeScript, Express, or REST API development.
  • Exposure to cloud platforms (especially AWS), Docker/containers, or CI/CD pipelines.
  • Awareness of AI safety concerns—prompt injection, data leakage, hallucinations—and why guardrails matter.
  • Interest in physical security, access control, or IoT.
  • Prior internship or open-source contributions.

Why Work for Us?
Brivo is a Great Place to Work-Certified™ company and the global leader in cloud-based access control and video surveillance. Following our merger with Eagle Eye Networks, we are building the only platform powerful enough to support the future of AI-driven security.

Why Your Work Matters

Innovation drives our vibe, but purpose drives our mission. You will work on essential systems that protect the health, safety, and welfare of people and property worldwide. At Brivo, your voice is heard, your talent is respected, and your contributions have a global impact.
  • The Brivo Experience: We thrive on in-person collaboration and a "one-team" atmosphere. We embrace our international presence, leveraging diverse ideas and backgrounds to improve our culture and our products. To keep our global teams connected and inspired, we provide a premium onsite experience featuring communal meals, recurring social events, and fully stocked workspaces—ensuring you have everything you need to stay focused while building the future of security. 
  • Total Rewards: We support our people with competitive medical, vision, and dental plans (including company-offset premiums), a 401k with company match, and an unlimited Paid Time Off (PTO) policy that empowers you to take the time you need to maintain a healthy work-life balance.
Individual compensation packages are based on job-related skills, experience, qualifications, work location, training, and market conditions. In addition, Brivonians enjoy a robust benefits and perks package tailored to their work location.