Associate Backend Software Engineer (Python)

Responsibilities

We are representing a confidential enterprise software organization seeking an Associate Backend Software Engineer to join their Predictive Intelligence engineering team in Manchester. In this role, you will build and maintain backend services that power forecasting and predictive solutions for enterprise customers.

Your day-to-day will include:

• Building and maintaining backend services, APIs, and data processing components across the predictive intelligence stack
• Contributing to forecasting, scoring, and data processing services that deliver predictive insights, with attention to performance, reliability, and code quality
• Writing clean, well-tested, maintainable Python code and following established engineering best practices
• Working with data scientists and ML engineers to integrate models into production services and support the pipelines around them
• Participating in code reviews and design discussions, incorporating feedback to grow as an engineer
• Taking part in on-call rotations as you ramp, helping to monitor, diagnose, and resolve issues across services and pipelines
• Collaborating across the team to deliver well-scoped features end to end

What We're Looking For

Required qualifications:

• Proven commercial professional software engineering experience building backend services
• Solid proficiency in Python, with experience writing well-structured, tested production code
• Experience with relational databases and SQL (e.g., Postgres)
• Exposure to containerized services and at least one major cloud platform (AWS, GCP, or Azure)
• Basic understanding of how ML and AI systems run in production and the data pipelines that support them
• Familiarity with version control (Git) and collaborative development practices
• Demonstrated ability to take ownership of 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 skills:

• Familiarity with data warehousing technologies such as Snowflake
• Experience with data orchestration tools (e.g., Prefect, Airflow, dbt)
• Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production
• Exposure to LLM or agentic application patterns and AI service integration
• Experience operating services on Kubernetes
• Background in forecasting, demand planning, or retail/supply chain domains

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional candidates with career-defining opportunities. Here's our process:

• Submit your application directly through getajob.ai
• A dedicated recruiter from our team will screen qualified candidates and discuss the opportunity in detail
• We will submit your profile to our client for consideration and guide you through their interview process
• Please do not contact the client directly, as all communication is managed through Get A Job.ai to ensure the best candidate experience

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from all qualified candidates regardless of gender identity, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, or any other aspect which makes people unique. We are happy to provide reasonable accommodations during the application and interview process.