Build secure, maintainable backend services with Node.js, Python, and Go.
Eresus provides delivery-focused backend development support for internal APIs, customer-facing services, worker flows, queue logic, auth layers, and business-critical workflows.
This engagement creates value fastest for teams like these.
Teams shipping under delivery pressure
Engineering organizations that need backend, mobile, DevOps, or DevSecOps support without losing security rigor.
CTOs and platform leads
Leads that need architecture, release, and operations support tied back to offensive validation priorities.
Programs that want build plus hardening
Buyers that do not want a separate delivery vendor and a separate security vendor working against each other.
Technology & scope
Delivery focus
Outcomes
An implementation-ready engineering motion from scope to production.
Architecture and boundaries
We align service responsibilities, data flow, auth model, and which backend components will be delivered.
Implementation and hardening
We shape services, failure handling, integration security, and production readiness in Node.js, Python, or Go.
Handover and release readiness
The team receives documentation, release notes, technical-debt guidance, and next-sprint recommendations.
The questions buyers want answered early.
How does this relate to pentest work?+
Do you work inside an existing engineering roadmap?+
What do teams get besides code or configuration?+
We build backend systems with clear boundaries and maintainability.
The goal is not just to write code. We make service responsibilities, failure surfaces, and future change-cost explicit from the start.
Delivery works for engineering and operations together.
Code, documentation, release preparation, and operating notes ship together so the team gets a sustainable backend, not a demo.
Research and advisories that support this service motion.
Structuring and Securing AI Microservices in Python (FastAPI)
Why must you transition from monolithic setups to a microservices architecture when exposing AI models to the public? Designing attack-resistant Python...
Why Should We Use Rust for AI-Powered Backend Systems?
When AI assistants are writing half your code, how do you ensure system security? Discover the superiority of the Rust language and its Memory Safety...
The Silent Assassin of Modern APIs: BOLA / IDOR Vulnerabilities and Their Impact
Why does the undisputed leader of the OWASP API Top 10, Broken Object Level Authorization (BOLA/IDOR), constantly evade WAF and DAST scanners? Defending...
Zero-Day Analysis: Authenticated SSRF in n8n-mcp (GHSA-4ggg-h7ph-26qr)
Zero-Day Analysis: Authenticated SSRF in n8n-mcp (GHSA-4ggg-h7ph-26qr)
Let’s scope this work against the surface that matters most.
Whether this starts as a pilot, a single application, a critical API, an AI agent flow, or a wider program, we start from the highest-impact surface.