Job opening
Founding Backend Engineer
Founding Backend Engineer
About EAGL
Every great business decision starts with trustworthy financial data — yet most finance teams are stuck reconciling spreadsheets, exports, and reports across fragmented systems. The result? Endless manual checks, late nights, and a lack of confidence in the numbers.
EAGL is changing that.
We’re building the modern financial intelligence platform for accountants and controllers — one that makes financial data transparent, explainable, and instantly trustworthy. By weaving together ERP data, AI reasoning, and intuitive workflows, we help finance teams close the books faster, detect anomalies earlier, and understand every number at a glance. All in seconds, not hours.
We’re early, ambitious, and moving fast — backed by Syndicate One and exceptional founders from leading European SaaS companies.
How We Work
We believe A+ players build A+ companies. We move fast, think deeply, and hold a high bar for everything we ship, from the codebase to the customer experience. We value clarity over noise, ownership over hierarchy, and execution over talk.
At EAGL, you’ll work with people who obsess over impact, not process. You’ll have extreme autonomy, real technical ownership, and the chance to shape a product that defines how modern finance teams work.
We’re building in the open and we’re building to win.
About The Role
We’re looking for a Back-End Engineer who wants to build the infrastructure that powers the next generation of financial intelligence.
This is not a maintenance role. It’s a 0→1 systems design challenge:
Building fault-tolerant, high-performance data ingestion pipelines that sync across complex ERP and accounting environments.
Architecting secure, scalable multi-tenant systems that serve demanding enterprise workloads.
Enabling AI-driven workflows that turn financial complexity into clarity.
You’ll work directly with the founders to shape the technical direction, ship critical features, and set the engineering culture from day one.
What You'll Do
Design and build the core backend systems that power Eagl’s financial intelligence layer, from data ingestion pipelines to agentic workflows and ERP integrations.
Work across the stack on high-performance APIs, data modeling, and orchestration using Temporal and AWS.
Collaborate with product and AI engineers to ship features that make financial data transparent, explainable, and actionable.
Architect for scale ensuring multi-tenant reliability, security, and maintainability as we onboard larger customers and more ERP systems.
Shape technical direction and best practices across the backend, from code structure and monitoring to performance and deployment.
Contribute to product decisions and help evolve how finance teams interact with AI.
What You'll Bring
4+ years of experience building and scaling backend systems in Node.js, TypeScript, or similar languages
Deep understanding of distributed systems, API design, and data modeling
Experience with AWS, databases (SQL), and modern CI/CD pipelines
Bonus: familiarity with Temporal, LangChain, or financial/ERP integrations
A builder’s mindset — you thrive in fast-moving environments and care about delivering quality fast
Excitement about working at the intersection of AI, finance, and infrastructure
More vacancies
We understand that your business data is invaluable. That's why Eagl is engineered with enterprise-grade security and an unwavering commitment to protecting your privacy.
Job opening
Founding Backend Engineer
About EAGL
Every great business decision starts with trustworthy financial data — yet most finance teams are stuck reconciling spreadsheets, exports, and reports across fragmented systems. The result? Endless manual checks, late nights, and a lack of confidence in the numbers.
EAGL is changing that.
We’re building the modern financial intelligence platform for accountants and controllers — one that makes financial data transparent, explainable, and instantly trustworthy. By weaving together ERP data, AI reasoning, and intuitive workflows, we help finance teams close the books faster, detect anomalies earlier, and understand every number at a glance. All in seconds, not hours.
We’re early, ambitious, and moving fast — backed by Syndicate One and exceptional founders from leading European SaaS companies.
How We Work
We believe A+ players build A+ companies. We move fast, think deeply, and hold a high bar for everything we ship, from the codebase to the customer experience. We value clarity over noise, ownership over hierarchy, and execution over talk.
At EAGL, you’ll work with people who obsess over impact, not process. You’ll have extreme autonomy, real technical ownership, and the chance to shape a product that defines how modern finance teams work.
We’re building in the open and we’re building to win.
About The Role
We’re looking for a Back-End Engineer who wants to build the infrastructure that powers the next generation of financial intelligence.
This is not a maintenance role. It’s a 0→1 systems design challenge:
Building fault-tolerant, high-performance data ingestion pipelines that sync across complex ERP and accounting environments.
Architecting secure, scalable multi-tenant systems that serve demanding enterprise workloads.
Enabling AI-driven workflows that turn financial complexity into clarity.
You’ll work directly with the founders to shape the technical direction, ship critical features, and set the engineering culture from day one.
What You'll Do
Design and build the core backend systems that power Eagl’s financial intelligence layer, from data ingestion pipelines to agentic workflows and ERP integrations.
Work across the stack on high-performance APIs, data modeling, and orchestration using Temporal and AWS.
Collaborate with product and AI engineers to ship features that make financial data transparent, explainable, and actionable.
Architect for scale ensuring multi-tenant reliability, security, and maintainability as we onboard larger customers and more ERP systems.
Shape technical direction and best practices across the backend, from code structure and monitoring to performance and deployment.
Contribute to product decisions and help evolve how finance teams interact with AI.
What You'll Bring
4+ years of experience building and scaling backend systems in Node.js, TypeScript, or similar languages
Deep understanding of distributed systems, API design, and data modeling
Experience with AWS, databases (SQL), and modern CI/CD pipelines
Bonus: familiarity with Temporal, LangChain, or financial/ERP integrations
A builder’s mindset — you thrive in fast-moving environments and care about delivering quality fast
Excitement about working at the intersection of AI, finance, and infrastructure
More vacancies
We understand that your business data is invaluable. That's why Eagl is engineered with enterprise-grade security and an unwavering commitment to protecting your privacy.
We’re on a mission to change finance
We’re on a mission to change finance
We’re on a mission to change finance
Join the team
Join the team
Finance teams shouldn't have to choose between speed and accuracy. Eagl automates the messy middle of closing and controlling — not with dashboards or rigid rules, but with finance-native AI agents that act like part of your team.
Finance teams shouldn't have to choose between speed and accuracy. Eagl automates the messy middle of closing and controlling — not with dashboards or rigid rules, but with finance-native AI agents that act like part of your team.
Our agents sit on top of your ERP, scanning every journal entry for data quality issues like misallocations or CapEx leaking into your P&L. Eagl catches problems early, suggests corrections, and keeps balances aligned, delivering cleaner books and a close that runs faster, with fewer surprises.
Our agents sit on top of your ERP, scanning every journal entry for data quality issues like misallocations or CapEx leaking into your P&L. Eagl catches problems early, suggests corrections, and keeps balances aligned, delivering cleaner books and a close that runs faster, with fewer surprises.
Join the team