About the role
We are seeking an experienced Senior Platform Engineer with deep expertise in Python development, DevOps, and ModelOps. You will be responsible for designing, building, and optimizing a modern platform on Databricks, ensuring robust deployment, monitoring, and governance of applications and services. This role blends software engineering, cloud-native architecture, and operational excellence in managing application lifecycle processes. You will collaborate with cross-functional teams to deliver scalable, reliable, and high-performance platform capabilities.
Key Responsibilities
- Design, develop, and maintain robust APIs using frameworks such as Flask, FastAPI, or Django.
- Implement and manage CI/CD and ModelOps pipelines for streamlined deployment, monitoring, and governance.
- Develop and deploy containerized applications using Docker and Kubernetes.
- Operate within a cloud-native environment (preferably Azure) to deliver secure and scalable solutions.
- Ensure reproducibility, traceability, and compliance in application lifecycle management.
Required Skills & Experience
- Expert-level Python development skills.
- Proven experience delivering production-grade APIs.
- Strong DevOps background, including CI/CD implementation and automation.
- Solid knowledge of containerization (Docker) and orchestration (Kubernetes).
- Experience with ModelOps practices, tools, and frameworks.
- Experience in cloud environments, ideally Microsoft Azure.
Nice to Have
- Hands-on experience with Azure DevOps, Azure Container Registry, and Azure Key Vault.
- Experience with Databricks or other modern data platforms.
- Background in CI/CD and ModelOps for complex applications, including automated testing and deployment.
- Familiarity with MLflow or similar tools for tracking, registry, and reproducibility.
Skills Required
- Expert-level Python development skills
- Proven experience delivering production-grade APIs
- Strong DevOps background, including CI/CD implementation and automation
- Solid knowledge of containerization (Docker) and orchestration (Kubernetes)
- Experience with ModelOps practices, tools, and frameworks
- Experience in cloud environments, ideally Microsoft Azure
What We Do
Ascent is a design-led software, data and cloud business that specialises in advanced analytics and AI. We design, build and manage cloud-native products, solutions, platforms and experiences on Azure. Our community of engineers, architects, data scientists, experience designers and consultants is here to help customers do something new, or do something better. Ascent is home to 450+ technology specialists across 5 key European locations (UK, Germany, Portugal, Malta and Bulgaria). Our talented, consultative teams deliver a range of solutions, from digital product and service design to mobile app development, API integrations, data engineering, AI and data science. Our modern app, data and infrastructure platforms help businesses leave legacy behind and enable rapid, efficient innovation
