About us
The Agile Monkeys is a software boutique and a startup studio. We offer AI software consulting services and we build products related to AI and search such as AIFindr.ai.
Project scope & day-to-day reality
- Internal automation / platform-oriented solution.
- Used by multiple teams.
- High focus on:
- reliability,
- standardization,
- reducing manual steps and human error.
- Regular interaction with:
- product,
- other engineers,
- platform / infra concerns.
Day to day includes:
- Architectural decisions and trade-off discussions.
- Reviewing and shaping technical proposals.
- Improving CI/CD, deployment and promotion flows.
- Identifying risks before they become incidents.
- Occasionally going hands-on in complex areas where guidance is not enough.
Tech stack (current / relevant)
Language & backend Backend-heavy role.
Architecture
- Distributed systems.
- Event-driven patterns.
- API-first mindset (contracts, versioning, backward compatibility).
Data * Relational databases (MSSQL) at production scale
Automation & delivery
- CI/CD as a first-class concern.
- Reusable workflows (GitHub Actions is a strong plus).
- Automated promotion across environments.
Infrastructure * Infrastructure as Code (Terraform is a strong plus). * Cloud providers experience (Azure is a strong plus).
Quality
- Automated testing as part of design, not an afterthought.
- Enforce code standards, specially in the era of AI agents
Capabilities
The person must be able to:
- Own and evolve the technical direction of the solution.
- Design systems that are pragmatic, maintainable, and scalable.
- Make end-to-end technical decisions: design → implementation → deployment.
- See the system as a whole, not just isolated services.
- Drive automation instead of compensating with process or documentation.
- Anticipate technical risks and act before they escalate.
- Translate business and product goals into concrete technical strategy.
- Push back when something adds complexity without enough value.
About AI
- Expected to use AI as a leverage tool.
- Focus on: automation, reducing cognitive/manual load, supporting technical decision-making.
- Critical mindset: evaluate cost, maintainability, risks.
- Knowledge on GraphRAG patterns.
- Knowledge on Agents design.
- Experience on Extract-Transform-Load (ETL) pipelines.
Why should you join us?
At Agile Monkeys, we’re not just building software - we’re shaping the future.
- Future-proof your career by working at the cutting edge of AI and emerging tech.
- Grow without limits in a team that thrives on curiosity, learning, and pushing boundaries.
- Thrive in a culture people stay for, we have a high retention rate because people love working here.
- Work your way: remote-friendly, flexible hours, and an outcomes-over-hours mindset.
- Own your impact, we give you real responsibility, trust, and the freedom to innovate.
- A safe place to stretch, we encourage bold thinking, learning from mistakes, and stepping outside the box.
- We are bootstrapped over 14 years out of the Canary Islands, no dependency on investors.
Join an elite, collaborative team where excellence is the standard and every contribution matters.
Tech stack (current / relevant)
Language & backend Backend-heavy role.
- .NET is a plus, but not mandatory if senior backend experience is solid.
Architecture
- Distributed systems.
- Event-driven patterns.
- API-first mindset (contracts, versioning, backward compatibility).
Data * Relational databases (MSSQL) at production scale
Automation & delivery
- CI/CD as a first-class concern.
- Reusable workflows (GitHub Actions is a strong plus).
- Automated promotion across environments.
Infrastructure * Infrastructure as Code (Terraform is a strong plus). * Cloud providers experience (Azure is a strong plus).
Quality
- Automated testing as part of design, not an afterthought.
- Enforce code standards, specially in the era of AI agents
Capabilities
The person must be able to:
- Own and evolve the technical direction of the solution.
- Design systems that are pragmatic, maintainable, and scalable.
- Make end-to-end technical decisions: design → implementation → deployment.
- See the system as a whole, not just isolated services.
- Drive automation instead of compensating with process or documentation.
- Anticipate technical risks and act before they escalate.
- Translate business and product goals into concrete technical strategy.
- Push back when something adds complexity without enough value.
Soft skills
- Strong critical thinking; challenges assumptions constructively.
- High ownership and accountability.
- Comfortable working with ambiguity.
- Clear, direct communication with technical and non-technical stakeholders.
- Influences through reasoning, not hierarchy.
Working style
- Prioritizes long-term system health over short-term speed.
- Makes deliberate decisions and explains trade-offs clearly.
- Maintains high technical standards even when not explicitly asked.
- Balances pragmatism with technical excellence.
What this role is not
- Not an Engineering Manager role.
- Not a ticket-execution role.
- Not a role for someone who needs constant direction.
About AI
- Expected to use AI as a leverage tool.
- Focus on: automation, reducing cognitive/manual load, supporting technical decision-making.
- Critical mindset: evaluate cost, maintainability, risks.
- Knowledge on GraphRAG patterns.
- Knowledge on Agents design.
- Experience on Extract-Transform-Load (ETL) pipelines.
