Software Engineer, Full Stack
Location: Remote (Boston, Chicago, Tampa preferred; must overlap with US Eastern/Central time zones)
Company: Sanguine (building Introzy as our core product)
Type: Full-time
About Us
Sanguine is the parent company behind Introzy, our core product — a multi-app platform (including Funlz and Profylz) designed to unify networking, workflow, and productivity. We’re an early-stage company moving fast to deliver value, with a lean engineering team, clear priorities, and a culture that embraces AI as a core development partner.
We’re standardizing on a simple, vanilla, AI-friendly stack: React, Node.js with Express, PostgreSQL, AWS, and GitHub Actions for CI/CD. Our goal is to build reliable, scalable systems that are easy to extend and maintain while shipping quickly.
About Sanguine Technology Solutions
Sanguine Technology Solutions is the technology engine of the Sanguine portfolio, 2024 Inc. 5000 #94. Its mission is to build category-defining software that addresses high-friction, high-value problems for small and mid-sized businesses. From partner operations (Introzy) and intelligent surveys (Funlz) to AI-powered automation and custom SaaS, STS delivers tools that help businesses grow faster, with more clarity and less chaos.
The Role
We’re looking for a Full Stack Software Engineer who can design, build, and ship across the stack. You’ll help architect new systems, stabilize existing ones, and establish best practices that let us move quickly without breaking trust with users. You won’t just be writing code — you’ll be actively shaping the way we build, deploy, and maintain software.
We’re not just looking for someone to check tickets — we want someone who enjoys spinning up new features from scratch, simplifying complexity, and bringing order to fast-moving product cycles. You’ll be expected to lean heavily on AI tools (Claude Code, Devin, etc.) to accelerate development, reduce repetitive work, and prototype solutions faster than a traditional team could.
This is a role with a high degree of ownership and visibility: you’ll work directly with leadership, influence technical decisions from day one, and see your work hit production on a weekly cadence.
Our Engineering Culture
Quality first: We focus on building stable, reliable systems — speed matters, but not at the cost of trust.
Bias to action: We move quickly and prefer small, shippable increments over big-bang releases.
AI as a teammate: Engineers experiment with AI tools daily — to code, test, and even generate docs — and share what works.
Simplicity over cleverness: We aim for solutions that are easy to understand, extend, and debug.
Collaboration: Engineers work hand-in-hand with product and customer success; no silos.
Transparency: We value clear communication — prioritize, execute, communicate, repeat.
What You’ll Do
Build full-stack features in React, Node.js/Express, PostgreSQL.
Help unify multiple apps into one consistent architecture.
Set up and refine CI/CD pipelines with GitHub Actions.
Use AI tools for coding, testing, and prototyping as part of daily workflow.
Collaborate closely with product, customer success, and leadership to prioritize and ship features.
Maintain a balance of speed and stability.
What We’re Looking For
Solid experience with JavaScript/TypeScript, React, Node.js/Express.
Familiarity with PostgreSQL, AWS (Beanstalk/ECS), Auth0, GitHub Actions.
Comfort working in fast-paced, ambiguous, early-stage environments.
Curiosity and excitement about leveraging AI to build software faster and smarter.
Pragmatic, team-oriented mindset: willing to dive in wherever needed.
Who You Are
You love building fast, keeping things simple, and experimenting with new tools — especially AI — to give yourself and your team an edge. You thrive in small, high-ownership environments and enjoy being part of a team that values execution, clarity, and iteration over endless planning.
Why Join Us
Impact from day one: small team, meaningful ownership.
Work directly with the CTO and CEO to shape the product and platform.
Help define the future of AI-assisted engineering.
Early-stage pace with weekly or bi-weekly releases — fast iteration, visible progress.
Chance to build foundational systems that will scale with the company.
Average salary estimate
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