Full Stack Engineer

Virtualitics, Inc.; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity participation

Fully paid medical, dental, vision

Unlimited PTO

Flexible work arrangements

Remote/hybrid options

Job summary

Virtualitics, Inc. is seeking a senior full-stack engineer to join a remote-friendly, hybrid team that builds AI-enabled readiness applications. You will own features end-to-end, craft polished React frontends for advanced data visualization, and work across Python backends, databases, and cloud services.

Expect collaboration with QA, DevOps, Product, Design, and AI teams in a fast-moving environment. You will contribute to scalable interfaces used by analysts and decision-makers, while

Qualifications

• Own features end-to-end from design handoff to production with collaboration across Product, Design and customers.
• Build and maintain React frontends with complex data visualization and enterprise UX.
• Work across stack including Python backends (Quart/FastAPI), PostgreSQL, Redis, S3 and async queues.
• Write maintainable, future-proof code and communicate design decisions clearly.
• Identify problems early and propose practical solutions with prototypes.
• Collaborate across QA, DevOps, Product and Design to surface tradeoffs early.

Responsibilities

• Own features end-to-end, from design handoff through production, with cross-functional teamwork.
• Build and maintain React frontends for complex data visualization and real-time updates.
• Work across stack including Python backends, PostgreSQL, Redis, and S3.
• Write clean, maintainable code and document design decisions for teammates.
• Proactively identify issues and push improvements with prototypes.
• Collaborate with QA, DevOps, Product, Design, and AI teams to align requirements.

Skills

End-to-end ownership

React frontend

Data visualization

TypeScript

UI/UX

Python backend

PostgreSQL

Redis

S3

Async queues

Readable code

Proactive problem solving

Cross-functional collaboration

Tools

AWS

Docker

Kubernetes

Terraform

Github Actions

Gitlab

Bash

Job description

About Virtualitics

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission‑critical challenges with AI.

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission‑critical challenges with AI.

Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage.

Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves.

If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here.

Location:

Remote, with hybrid options. Preferred hybrid locations are Washington, D.C., New York City, or Detroit.

Why this role:

Unlike engineers on many enterprise platform teams, you won't be building one generic product rolled out unchanged to every customer.

You partner directly with Machine Learning engineers to scale and adapt novel models to the specific, often unique problems a customer is facing — then you build the application layer that puts that model in front of real analysts and decision‑makers.

It's a chance to work close to the ML research and see your code shape how a customer actually solves a hard problem.

Responsibilities:

We are a small, fast-moving team where engineers own features end-to-end. We are seeking a fullstack engineer who thrives on building polished, responsive interfaces, can comfortably navigate backend services, APIs, and infrastructure. You will regularly partner with DevOps, QA, Product, Design, and AI teams - translating technical tradeoffs for non-engineers, incorporating design and product feedback, and flagging risks early.

This is a remote position, but may require on-site travel to customer sites.

• Candidates must possess and active US Government Security Clearance (SECRET or higher)

Skills (Must Have)

• Own features from design handoff through production—scoping, building, testing, deploying, and iterating based on real user feedback, in close collaboration with Product, Design, and customers throughout
• Build and maintain React frontends that handle complex data visualization, real-time updates, and enterprise-grade UX. (React/Redux, Typescript, Vite, MUI)
• Work across the stack, including Python backend services (Quart/FastAPI), PostgreSQL, Redis, S3, and async task queues
• Write code that other engineers can confidently modify and maintain (future looking code), ensuring clear structure and intent - and communicate design decisions clearly to teammates who will build on top of your work
• Identify problems before they are assigned, proposing solutions, building prototypes, and pushing improvements forward without waiting for an explicit ticket
• Collaborate effectively across functions — working directly with QA to define test coverage, with DevOps on deployment and infrastructure needs, and with Product to clarify requirements andmsurface tradeoffs before they become blockers

Skills (Nice To Have)

• Experience with AWS, Docker, Kubernetes, Terraform
• Experience in Data Science, Machine Learning, or Data Visualization, especially data engineering
• Experience with build automation tools (i.e. Github Actions, Gitlab)
• Experience with scripting languages (i.e. bash)
• Startup experience on a growing team, and a desire to mentor more junior engineers

What We Offer You

At Virtualitics, you’ll join a high-performance team of scientists, strategists, and servicemembers building AI that operates in the world’s most demanding environments. The problems we solve matter — and so does the opportunity to grow while solving them.

You’ll have meaningful ownership from day one, with the ability to accelerate your career alongside a company scaling rapidly in national security and critical infrastructure.

We offer highly competitive compensation, meaningful equity participation, and fully paid medical, dental, and vision coverage for you and your dependents. Our benefits also include unlimited PTO and flexible work arrangements, with remote flexibility and hybrid options for team members based in the Los Angeles or Washington, DC areas.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.