Senior Platform Engineer

Reposted 2 Months Ago
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Munich, Bayern, DEU
In-Office
Senior level
Cloud • Software • Consulting
The Role
The Senior Platform Engineer will design and optimize a platform using Python, DevOps, and ModelOps, managing application lifecycles and collaborating with teams for high-performance deployments.
Summary Generated by Built In

About Us

Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
 

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.
 

Why join us

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.

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
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The Company
London
452 Employees
Year Founded: 2005

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

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