Senior Backend Engineer - Python, Django in Manchester

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the Syrup platform and Anaplan’s forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a senior backend engineer, you will design and build core services across this stack — writing clean, performant, well-tested Python that the rest of the team can build on. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.

• Design and implement scalable, fault-tolerant backend services and APIs as a core contributor across the Predictive Intelligence stack.
• Build and evolve the forecasting, scoring, and data processing services that deliver predictive insights, with a focus on performance, scalability, and cost efficiency.
• Write clean, well-tested, maintainable Python and establish patterns that make the codebase easier for the whole team to extend, operate, and reason about.
• Partner with data scientists and ML engineers to integrate models into production services and build the data and inference pipelines around them.
• Lead design reviews and code reviews, raising the quality bar across the team and mentoring mid-level and junior engineers.

Extensive professional software engineering experience building production backend services. Strong proficiency in Python, with a track record of writing performant, well-tested, maintainable production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Working understanding of how ML and AI systems run in production, including the data and model pipelines that support them. Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Hands-on MLOps experience, including model training pipelines, deployment workflows, and tooling such as MLflow. Experience productionizing data science or research code into stable, observable services. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience with gradient-boosted tree models, neural networks, or optimization solvers in production. Exposure to LLM or agentic application patterns and AI service integration. Background in forecasting, demand planning, or retail/supply chain domains.

Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB): We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment.