Aldea
Principal Full-Stack Software Engineer
Similar Jobs
Information Technology • Software
Lead design and implement a scalable, secure multi-tenant SaaS using .NET and Angular. Own end-to-end feature delivery, leverage AI-assisted coding, apply DDD/CQRS/event-driven patterns, optimize data and SQL performance, mentor engineers, and maintain CI/CD, observability, and automated testing.
Top Skills:
.NetAngularApi GatewayAWSC#Claude CodeCursorElasticsearchEntity FrameworkGitGithub CopilotMendOpensearchPostgresReactive FormsRedisReplitRest ApisRxjsSignalsSonarqubeSQL Server
Healthtech
Lead technical direction for a Ruby on Rails-based platform, design cross-cutting systems (data models, APIs, clinical workflows), write full-stack code, mentor engineers, evaluate tradeoffs, collaborate with product/design/clinical teams, and champion high standards and domain expertise in pediatric behavioral health.
Top Skills:
Ai Coding ToolsAPIsHotwire NativeJavaScriptReactRubyRuby On RailsStimulusTailwindTurboTypescriptViewcomponent
Consulting • Design
Design, build, and maintain end-to-end, accessible, secure full-stack software for a federal health/civilian agency. Build Section 508-compliant UIs, backend APIs, and services; follow API-first, CI/CD, automated testing, and security best practices; identify and remediate technical debt; mentor engineers and collaborate with cross-functional teams to deliver reliable, performant government software.
Top Skills:
APIsAutomated TestingCi/CdCloud InfrastructureDatabasesDatastoresDockerSection 508TerraformVersion Control
About Aldea
Aldea is a multi-modal foundational AI company reimagining the scaling laws of intelligence. We believe today's architectures create unnecessary bottlenecks for the evolution of software. Our mission is to build the next generation of foundational models that power a more expressive, contextual, and intelligent human–machine interface.
About the RoleAldea is seeking a Principal Full-Stack Engineer to lead development of our core developer platform, console, dashboards, and customer-facing workflows. You’ll own major architectural decisions, build high-quality product surfaces end-to-end, and partner closely with Product, API, and Research teams to bring new speech + LLM capabilities to customers.
What You’ll Do- Technical Strategy & Architecture: Drive the future of Aldea’s customer-facing stack. From frontend architecture to API design best practices, you’ll make high-impact technical decisions that shape how developers interact with our platform.
- Lead Complex AI Integrations: Architect the full-stack systems required to stream real-time audio and LLM tokens to the browser. You will tackle challenges like handling non-deterministic model outputs, managing WebSocket connections at scale, and visualizing voice-to-text latency.
- Drive Developer Experience (DX): Own the "Time to First Hello World." You will build self-serve onboarding flows, interactive API playgrounds, and observability dashboards that allow developers to debug complex LLM/audio workflows in real-time.
- Own backend systems that power auth, usage, billing, and analytics
- Cross-Functional Partnership: Partner directly with Product and Research leadership to translate experimental AI capabilities into stable, production-ready product features.
- Establish engineering best practices, code quality, and system design standards
- Mentor engineers and guide technical strategy for the product surface area
- Full-Stack Mastery: Deep expertise in TypeScript/React (performance tuning, state management, visualization) and strong backend fluency in Python, Go, or Node.js. You can debug a race condition in the database and a re-render loop in the browser in the same afternoon.
- Platform & API DNA: You have built public-facing APIs, developer consoles, or SDKs. You understand that an API is a product, not just a pipe.
- Proven ability to design scalable architectures and lead complex builds end-to-end
- Systems Expertise: Solid understanding of distributed systems fundamentals—caching strategies (Redis/Memcached), database design (Postgres/DynamoDB), and cloud infrastructure (AWS/GCP).
- Strong product sense and comfort working closely with PM/design
- AI/ML Fluency: You don't need to be a researcher, but you understand the constraints of deploying AI: context windows, token streaming, latency budgets, and cost management.
- Experience building real-time media applications (WebRTC, audio streaming, visualization).
- Background in usage metering, billing, or multi-tenant SaaS architectures
- Startup or 0→1 product experience
- A polished, reliable developer platform that customers love
- Faster iteration cycles across research → API → product
- Scalable systems and strong engineering foundations for future growth
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



