Lead Back End/ Fullstack Engineer

DysrupIT; Philippines; On-site; PHP 2,400,000 - 3,400,000; Full time

Job summary

DysrupIT is seeking a hands-on senior engineer who will own the architecture of an enterprise AI product from the ground up. You will design and build the core database layer, integrations, and governance controls while leading a small team focused on training Small Language Models.

You’ll ensure reliability, monitoring, and security at production scale, serving enterprise customers with robust, scalable solutions and clear technical direction.

Qualifications

• Senior-level expertise owning production software end-to-end.
• Experience building standalone enterprise apps with end-to-end ownership.
• Hands-on relational DB design and operation (Postgres).
• Proven integrations with third-party enterprise systems.
• Strong event-driven architecture and idempotent workflows.
• Security-first mindset with RBAC, SSO, audit trails.

Responsibilities

• Own the technical direction of the AI product end-to-end.
• Architect and build core DB layer and integration layer.
• Direct event-driven workflows and orchestration engine.
• Implement enterprise-grade controls and on-prem deployment.
• Lead and mentor a small technical pod working on SLMs.
• Document architecture decisions and communicate with leadership.

Skills

Enterprise design

PostgreSQL

Docker Kubernetes

RBAC & SSO

Security by design

Event-driven

CI/CD

Rust / typed language

Claude Code

Team leadership

Tools

GitHub

Jira

Loveable

Job description

We’re looking for a hands‑on senior engineer who has taken full architectural ownership of enterprise software, someone who designs and builds complete, standalone applications end‑to‑end, including the database layer, third‑party integrations, and enterprise‑grade security and governance controls, rather than someone who has mainly worked on top of an existing managed data or ML platform. Genuine, hands‑on experience operating a live, production‑scale AI system is essential, including responsibility for its reliability, monitoring, incident response, and ongoing improvement, rather than experience limited to early‑stage prototyping.

This is a hands‑on leadership role: part lead architect, part product owner, part governance lead. You’ll own the product’s architecture from the ground up while also bringing hands‑on experience training Small Language Models (SLMs) and directing a developer focused on that work. You’ll be the technical anchor for the product — setting direction, challenging the roadmap where needed, and ensuring the system is secure, reliable, and built to scale for enterprise customers.

JOB RESPONSIBILITIES

• Take full ownership of the technical direction of the agentic AI product
• Architect and build the product end‑to‑end, including designing and directly owning the core database layer, rather than relying on a pre‑built or managed data platform
• Build and own the integration layer connecting to third‑party enterprise systems, including authentication protocols, webhooks, rate limiting, inconsistent vendor behaviour, and API versioning
• Own the event‑driven architecture underpinning the platform’s core workflow and orchestration engine, including queues, workflow orchestration, and idempotency
• Implement enterprise‑grade controls — role‑based access control, single sign‑on, audit logging, tamper‑evident record‑keeping, and self‑hosted/on‑premises deployment (Docker/Kubernetes), to meet the product’s data sovereignty requirements
• Embed application security into every layer of the architecture, from code to deployment
• Take ownership of the operational reliability of the live system — monitoring, incident response, and ongoing improvement, not just feature delivery
• Establish and enforce governance operations — data handling, model behaviour, access controls, and change management
• Lead a small technical pod, including directing and reviewing the work of a developer focused on training the company’s Small Language Models
• Bring genuine business acumen to technical decisions — balancing customer needs, cost, and delivery timelines
• Manage requirements and delivery through Jira, maintain the codebase in GitHub, and coordinate UI build‑out via Loveable
• Produce clear, thorough documentation for architecture, processes, and product decisions
• Act as the primary technical point of contact for leadership and the incoming customer base

QUALIFICATIONS

• Proven, senior‑level experience designing, building, and owning production software end‑to‑end — this is not an entry‑or mid‑level role
• Track record delivering and operating complete, standalone enterprise applications, rather than building features on top of an existing managed data or ML platform
• Deep, hands‑on experience designing and directly operating a relational database layer (Postgres)
• Proven experience building integrations against third‑party enterprise systems — covering authentication protocols, webhooks, rate limiting, inconsistent vendor behaviour, and versioning — this is one of the most important differentiators for this role
• Strong background in event‑driven systems — queues, workflow orchestration, and idempotency
• Hands‑on experience implementing RBAC, SSO, audit logging, tamper‑evident record‑keeping, and self‑hosted/on‑premises deployment (Docker/Kubernetes) — essential given the product’s data sovereignty requirements
• A security‑first mindset — able to proactively identify and mitigate application security risks, embedding security into every layer of the architecture
• Experience with Claude Code, Postgres, and Rust (or a strong typed‑language background with a demonstrated ability to ramp up quickly across this stack)
• Genuine, hands‑on experience building and operating a production‑grade AI or agentic system — including ownership of reliability, monitoring, incident response, and ongoing improvement, rather than experience limited to early‑stage prototyping
• Hands‑on experience training Small Language Models (SLMs)
• Strong working knowledge of enterprise‑class systems: scalability, reliability, and security at production scale
• Track record of leading or mentoring other engineers
• Comfortable challenging specifications and proposing alternative approaches, rather than simply executing requirements as given
• Solid project management skills — able to plan, prioritise, and deliver against timelines with minimal oversight
• Strong documentation habits and excellent written and verbal communication
• Familiarity with GitHub, Jira, and ideally Loveable
• Product‑minded: comfortable thinking about the end customer, not just the code