Senior Python Backend Engineer - Predictive AI Platform

Anaplan Inc; Manchester; On-site; GBP 60,000 - 80,000; Full time

Job summary

Anaplan Inc in Manchester is seeking a Senior Backend Engineer to join its Predictive Intelligence engineering team. You will design and build backend services that support predictive and forecasting solutions, focusing on writing performant Python that enhances system maintainability.

This role requires extensive experience in building production backend services, strong Python skills, and familiarity with Kubernetes. Ideal candidates will also understand ML systems in production and be comfortable with cloud technologies.

Qualifications

• Extensive professional software engineering experience building production backend services.
• Strong proficiency in Python with track record of maintainable code.
• Experience with Kubernetes and cloud services.
• Understanding of ML and AI production systems.
• Bachelor’s degree in Computer Science or equivalent experience.

Responsibilities

• Design and implement scalable backend services and APIs.
• Build forecasting and data processing services.
• Write well-tested maintainable Python code.
• Integrate models into production services.
• Take part in on-call rotations for operational health.
• Lead design and code reviews to improve quality.
• Drive cross-cutting platform improvements.

Skills

Python

Containerized services on Kubernetes

Data warehousing technologies

ML and AI systems in production

Education

Bachelor’s degree in Computer Science or Engineering

Tools

AWS

GCP

Azure

Snowflake

MLflow

Job description

Anaplan Inc in Manchester is seeking a Senior Backend Engineer to join its Predictive Intelligence engineering team. You will design and build backend services that support predictive and forecasting solutions, focusing on writing performant Python that enhances system maintainability.

This role requires extensive experience in building production backend services, strong Python skills, and familiarity with Kubernetes. Ideal candidates will also understand ML systems in production and be comfortable with cloud technologies.