Senior Full-Stack Software Engineer (Backend-Leaning)

We’re looking for a senior, backend-leaning full-stack engineer who can make strong architecture decisions and ship reliable, complex features end to end across backend and frontend.

This is not a role for someone who just wants to own one layer of the stack. We need someone who can move fluidly between system design, backend implementation, frontend product surfaces, and production reliability — and who knows when to keep things simple instead of overengineering.

What you’ll do

• Design and build core backend systems in Python
• Ship customer-facing product features in React and TypeScript
• Make key architecture decisions across edge, cloud, data model, APIs, and UI
• Build reliable systems for telemetry ingestion, incident generation, and site-level intelligence
• Own features end to end, from schema and backend logic through UI and production rollout
• Help create a trustworthy product that explains what is broken, where, why, and what to do next
• Work closely with founders to translate ambiguous product ideas into simple, durable systems
• Contribute to AI-powered product capabilities where they create real value, while staying pragmatic about what should be deterministic vs model-driven

What success looks like

• You make strong architecture decisions without adding unnecessary complexity
• You ship meaningful product features independently across backend and frontend
• You build systems that are reliable in production, not just impressive in demos
• You create clean interfaces between components without prematurely abstracting everything
• You improve product trust by focusing on correctness, observability, resilience, and maintainability
• You help us build a platform that can run reliably in the field and scale into a real product

What we’re looking for

• 8–12 years of software engineering experience
• Experience in a Series A or similarly fast-moving startup environment
• Strong backend engineering skills in Python
• Strong frontend engineering skills in React and TypeScript
• Strong experience designing and shipping production systems on AWS
• Proven ability to ship reliable, complex product features end to end
• Strong solutions architecture judgment
• Comfort working across backend, frontend, infrastructure, data, and product
• High ownership, strong product sense, and the ability to thrive in ambiguity
• A bias toward practical decisions, fast iteration, and durable execution

Strongly preferred

• Django or similar Python web frameworks
• Real-time application patterns such as WebSockets
• GraphQL APIs
• Elasticsearch / OpenSearch
• Experience building telemetry, observability, workflow, infrastructure, or edge/cloud products
• Experience with event-driven systems, distributed systems, or reliability-sensitive software
• Experience building products that combine deterministic logic with AI-assisted workflows
• Familiarity with modern AI tooling such as AI SDKs, LangChain, or LangGraph

Nice to have

• Experience with networking, wireless, telecom, or edge devices
• Experience with ingestion pipelines, schema/versioning, or time-series/event data
• Experience with incident workflows, root-cause analysis, or evidence-driven UX
• Experience operating in small teams where speed, tradeoff quality, and ownership matter

How we think about engineering

We care a lot about architecture quality, but we are not interested in architecture theater. The product has to be reliable in real environments. That means building systems that can tolerate outages, preserve data, recover cleanly, and produce trustworthy outcomes. It also means being disciplined about sequencing: building the right foundations first, shipping hardcoded logic before generic engines, and favoring correctness over cleverness. Reliability, explainability, and end-to-end product quality matter more to us than trendy abstractions.

Our stack

Our current and target stack includes:

• Backend: Python, Django
• Frontend: React, TypeScript
• Cloud: AWS
• APIs / transport: GraphQL, WebSockets, HTTPS
• Search / data: Elasticsearch
• AI / orchestration: AI SDKs, LangChain, LangGraph

You do not need to have deep expertise in every item above to be a fit. We care more about architecture judgment, technical depth, and end-to-end shipping ability than a perfect keyword match.

Why this role is exciting

You’ll join early enough to shape major technical decisions, product architecture, and engineering standards. You’ll help build a differentiated product that combines edge software, cloud intelligence, site-level correlation, deterministic playbooks, and a site-first customer experience into something that can become deeply trusted by customers. The edge runtime, ingestion pipeline, site correlator, incident model, and evidence-first UX are all core parts of the product’s differentiation.

Who this role is a fit for

This role is a strong fit for someone who:

• likes owning meaningful product and architecture decisions
• enjoys moving between backend and frontend
• has built complex systems in small, high-ownership teams
• knows how to balance speed with reliability
• wants to help turn an ambitious product vision into a real, dependable platform

About eino

Today, AI workloads at the edge make networks more critical than ever for enterprises, communities, and governments—creating an urgent need for new connectivity solutions. Yet the way networks are designed, managed, and monitored has barely changed, while everything connected to them has.

With a mission to close this gap, eino is intelligent connectivity—enabling the infrastructure that thinks, adapts, and delivers—in a platform that automates, unifies, and monitors all wireless technologies across any site—indoor and outdoor—through a 3D digital twin. Easy to demo, design, and monitor, the digital twin approach enables customers to see their wireless infrastructure—and its performance—before they invest.

We’re building the shortest path to AI-ready connectivity that lasts.