About The Role
In this role, you will build and evolve scalable data and ML platform capabilities using Python and cloud-native services. You will work with modern data stacks to deliver reliable ingestion pipelines, transformation frameworks, and infrastructure that enable data-driven decisions. You will collaborate with cross-functional teams supporting a leading UK retail client serving millions of customers.
Responsibilities
- Develop and maintain data and platform capabilities including data ingestion pipelines, DBT-based transformation frameworks, ML infrastructure components, monitoring solutions, and governance controls aligned with established technical standards
- Design and implement infrastructure as code using Terraform to deploy and manage cloud resources that support scalable data and machine learning platforms across multiple environments
- Perform configuration and management of cloud-based infrastructure and platform components while adhering to established architecture patterns and configuration standards
- Collaborate with senior engineers to implement platform improvements, troubleshoot issues, and ensure stable operation of data and ML services across environments
- Interact with cross‐functional teams including data engineers, ML engineers, and platform teams to support development, deployment, and monitoring of data and machine learning solutions
- Attend technical discussions and contribute to platform design decisions, helping refine patterns, standards, and best practices for data and ML infrastructure
Requirements
- Strong Python programming skills with experience building and maintaining production-grade software solutions
- Hands-on experience with AWS cloud services and IAM configuration
- Practical knowledge of Infrastructure as Code using Terraform
- Experience working with data and platform components such as ingestion pipelines, transformation frameworks, or ML infrastructure
- Familiarity with CI/CD pipelines for automated deployment is a plus
- Proficiency in SQL for working with relational data is a plus
- Exposure to DSTS-related environments or processes is a plus
- Skills to collaborate effectively in cross-functional teams and communicate technical concepts clearly
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
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