You will architect, implement, and optimise integrations across cloud platforms, data systems, and application environments. You'll also design and operationalise AI workflows—leveraging automation, machine learning services, and intelligent data pipelines—to enhance business processes and system interoperability. Working closely with cross-functional teams, you'll implement automation, build reliable integration processes, integrate data services, and deliver robust infrastructure-as-code solutions. This position blends integration engineering, DevOps practices, AI tooling, and practical software development, giving you the opportunity to shape next-generation automation and intelligent integration capabilities.
Responsibilities
- Design and maintain scalable integrations across enterprise systems, SaaS platforms, and internal applications
- Build and enhance GitLab based CI/CD pipelines to support application integration and infrastructure automation
- Use Terraform or other Infrastructure as Code tools to design and provision cloud infrastructure primarily on AWS
- Develop automation scripts and workflows to reduce manual operational overhead and improve reliability
- Integrate machine learning and approved AI-based services into operational workflows and data pipelines
- Implement data integration pipelines using APIs, event-driven architectures, and messaging systems
- Develop and maintain AI-driven middleware using Node.js and/or Python to enhance decisioning, routing, or workflow logic
- Manage, deploy, and troubleshoot MCP Node.js-based servers used for programmatic control, middleware, or message processing
- Collaborate with software engineers, data teams, and cloud engineers to deliver end-to-end integration solutions
- Ensure integrations are secure, well-documented, and compliant with organisational standards
- Write clean, modular, well-tested code following engineering best practices
- Participate in code reviews, architectural discussions, and continuous improvement efforts
- Monitor, tune, and optimise system performance and reliability across integration layers
Requirements
- 3-5 years in an IT Integration, DevOps, or Software Engineering role
- Strong hands-on experience with GitLab, including pipeline creation, runners, artifacts, and CI/CD orchestration
- Proficiency with Infrastructure as Code, particularly Terraform, and experience deploying resources in AWS
- Solid experience in automation using scripting languages such as Python, Bash, or JavaScript/Node.js
- Experience building and maintaining data integrations (APIs, webhooks, ETL, messaging queues, or event-driven systems)
- Working knowledge of MCP (Node.js) servers, including configuration, extension development, and deployment
- Solid understanding of AI/ML concepts, model APIs, prompt engineering, and integrating LLMs into backend services
- Strong backend development experience (Node.js, Python, or similar)
- Knowledge of networking, identity/access management, and security best practices
- Familiarity with containerisation (Docker) and orchestration (Kubernetes) is a plus
- Excellent communication, documentation, and cross-team collaboration skills
Benefits
- Access to mental health platform nilo including 1on1 sessions
- Access to Udemy training platform with unlimited content and certification
- Support on equipment for remote work
- Flexible working hours
- Regular onsite gatherings and summer parties
- Paid special leave days
- Workcation possibilities