Role Description As a Software Engineer at synvert, you'll be part of a smart and supportive cross-disciplinary team, including software architects, data strategists, and cloud experts, to ensure full-stack alignment in our projects. Qualifications - At least 3 years of working experience - Experience/Interest in working with Ruby on Rails - A degree in software engineering or proven experience in the field - Comfortable communicating in English (written and spoken) - Able to work outside your comfort zone and still get things done Requirements - Experience developing solutions using Generative AI, LLMs, or agentic architectures (Nice-to-Have) - Experience leveraging AI-powered SDLC workflows for both product and engineering tasks (Nice-to-Have) - Experience or interest in DevOps and Infrastructure (e.g. CI/CD pipelines, Docker/Containers, Cloud, etc) (Nice-to-Have) - Experience or interest in Data Engineering (Nice-to-Have) Benefits - Agile Company Culture and the Best Team - Global Projects & Opportunities - Social Events & Team Building - Continuous Development - Training & Development - Growth Opportunities - Flexible Working - Remote Friendly Culture - Great Equipment & Tools - Flexible Benefits - Extra Days Off - Health Insurance Hiring Process One of the perks of being a part of synvert is that you’ll join a global team of over 500 experts from Germany to the UK, Croatia and even the UAE. As a member of our team, you’ll have the opportunity to work on cutting-edge cloud native and AI solutions, leveraging synvert's extensive industry knowledge and technical expertise. Join us and be at the forefront of delivering excellence in DevOps, Data, and Digital Products! And even if you don’t think you meet 100% of the requirements, submit your application. We’re always happy to meet new people! Here’s what you can expect from our application process: - PX Interview - Tech Challenge - Tech Interview - Final Interview - Offer

**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__. **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. 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.

• Design, develop, and maintain **scalable microservices** using Kotlin/Java and Micronaut. • Build and integrate **RESTful and GraphQL APIs** with internal and third-party systems. • Implement event-driven architectures using Kafka. • Ensure high-quality code using **TDD/BDD** and automated testing. • Collaborate with cross-functional teams in an Agile environment. • Monitor and optimize system performance using observability tools. • Follow DevOps principles: *you build it, you run it*.

• Designing, developing, and deploying smart AI-powered services using Python • Leveraging AI tools to enhance code quality and drive innovation • Architecting and optimizing hybrid retrieval systems to support LLM-based agents • Collaborating closely with the core product development team • Leading new AI initiatives from concept to deployment • Utilizing Azure cloud infrastructure to manage AI workloads • Developing advanced AI agents using LangGraph, MCP, gRPC • Building scalable data services using Kafka, RabbitMQ • Implementing CI/CD workflows with GitHub Actions and Azure services