Software Engineer (.net)

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 .

Why should you join us

At Agile Monkeys were not just building software - were 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.

The goal is to maintain and evolve an internal technical product with high impact across teams.

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.

• .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.

Required Experience:

IC