10 hours ago
Manchester, United KingdomEntry Level
Responsibilities
- Build and maintain backend services, APIs, and data-processing components.
- Contribute to forecasting, scoring, and data-processing services with attention to performance, reliability, and code quality.
- Write clean, tested, and maintainable Python code.
- Integrate ML models into production services and support related data pipelines with data scientists and ML engineers.
- Participate in code reviews and design discussions.
- Participate in on-call rotations and help monitor, diagnose, and resolve issues across services and pipelines.
- Collaborate on well-scoped features from end to end.
Requirements
- Professional software engineering experience building backend services.
- Solid Python proficiency and experience writing structured, tested production code.
- Experience with relational databases and SQL, such as Postgres.
- Exposure to containerized services and at least one major cloud provider: AWS, GCP, or Azure.
- Basic understanding of production ML and AI systems and their supporting data pipelines.
- Familiarity with Git and collaborative development practices.
- Ability to own well-scoped systems and deliver against requirements with some ambiguity.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Preferred: experience with Prefect, Airflow, dbt, MLflow, Kubernetes, LLM or agentic application patterns, AI service integration, forecasting, demand planning, or retail/supply-chain domains.
Tech Stack
Categories
About Anaplan
Anaplan builds a cloud platform for enterprise planning, forecasting, and scenario modeling used by finance, supply chain, sales, and workforce teams. It sells subscription software and related services to large organizations that need connected, cross-functional planning. Founded in 2006 and headquartered in Miami, Florida, Anaplan was acquired by Thoma Bravo in 2022 after previously trading on the NYSE.