Verkko Robotics Ltd
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New Role Job Description
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Position Overview
Title: Back End Developer
Reports to: Chief Scientist / CTO
Location: Pisa Italy - Hybrid
Employment Type: Full-time
About Verkko
Verkko is at the forefront of AI-powered Personal and Enterprise Intelligence. We architect systems that unify disparate data sources and workflows across major productivity suites (Microsoft 365, Google Workspace) and business applications (Slack, Salesforce). Our mission is to elevate organizational and individual productivity through intelligent automation and contextual AI.
We are actively expanding our core engineering team in Pisa, Italy, and contributing to the broader Verkko Robotics Research Programme.
The Role
We are seeking a Mid-Level Backend Software Developer to join our hybrid engineering team in Pisa. This role is critical in developing and scaling the robust backend services that underpin the Verkko platform. You will engage directly with complex architectural challenges, contribute to core AI integration pipelines, and have a significant impact on production systems.
This is an opportunity to work on high-throughput data processing, sophisticated API design, and the deployment of machine learning models within a production environment.
Key Responsibilities
· Service Development & Architecture: Design, implement, and deploy microservices and APIs using Python, focusing on scalability, resilience, and maintainability.
· API Integration: Develop and maintain robust RESTful APIs and asynchronous event-driven services (e.g., using Kafka or RabbitMQ) for internal and external consumption.
· Data Engineering & AI Pipelines: Contribute to the design and implementation of data ingestion, transformation, and processing pipelines. Integrate machine learning models and LLM-based functionalities into backend services.
· Database Management: Work with relational (e.g., PostgreSQL) and/or NoSQL databases, including schema design, query optimization, and performance tuning. Experience with vector databases for AI applications is a strong plus.
Infrastructure & Deployment: Collaborate on CI/CD pipelines (e.g., Jenkins, GitLab CI) and container
· orchestration (e.g., Docker, Kubernetes). Support cloud infrastructure management (AWS).
· Code Quality & Best Practices: Champion best practices in coding, testing (unit, integration, end-to-end), and deployment. Conduct thorough code reviews and mentor junior engineers.
· System Observability: Implement monitoring, logging, and alerting solutions to ensure system health and performance.
· Security: Adhere to security best practices in API design, data handling, and infrastructure deployment
Skills & Experience Requirements
Required
· 3–5 years of professional experience in backend software development.
· Deep proficiency in Python: Experience with relevant frameworks (e.g., Flask, FastAPI, Django).
· API Design & Development: Proven experience designing and implementing complex RESTful APIs and understanding of API versioning strategies. Familiarity with GraphQL is a plus.
· Database Technologies: Strong experience with relational databases (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB, DynamoDB).
· Cloud Computing: Hands-on experience with at least one major cloud provider (AWS preferred, given our current infrastructure). Understanding of serverless architectures and managed services.
· Version Control: Expert-level proficiency with Git and collaborative development workflows (e.g., GitHub, GitLab).
· Software Design Principles: Solid grasp of SOLID principles, design patterns, and microservices architecture.
· Testing Frameworks: Experience with Python testing libraries (e.g., pytest, unittest).
· Problem-Solving: Strong analytical and debugging skills, with a focus on performance optimization and root cause analysis.
· Communication: Excellent written and verbal communication skills in English; ability to articulate technical concepts clearly.
Desirable
· Experience with Go or Node.js for specific microservices.
· Familiarity with message queues (e.g., Kafka, RabbitMQ, SQS).
· Exposure to container orchestration technologies like Kubernetes.
· Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and LLM integration (e.g., LangChain, OpenAI API).
· Knowledge of vector databases (e.g., Pinecone, Weaviate, Qdrant) and their application in search and recommendation systems.
· Experience with CI/CD tools and practices (e.g., Docker, Jenkins, GitLab CI).
· Understanding of Microsoft Graph API or Google Workspace APIs for data integration.
· Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
What We Offer
· Hybrid working model combining Pisa office presence with remote flexibility.
· A challenging and rewarding role at the cutting edge of AI and enterprise intelligence.
· Collaboration with a world-class, international engineering team.
· Opportunities for professional development and learning in advanced AI technologies. xrdztoy
· Competitive compensation and benefits package.