Senior Backend Engineer for AI‑Driven Systems (Remote)

Kodamai Limited; Glasgow; On-site; Full time

Job description

Engineering Glasgow / Remote Consultant Contract

We are looking for a talented and driven Senior Fullstack Backend Engineer to join our growing engineering team. In this role, you will design and build robust backend API services, integrate them with existing applications and tools, and contribute to shaping the overall system architecture. You will collaborate closely with cross‑functional teams following Agile practices, delivering scalable and maintainable solutions that power our AI‑driven products and client deployments.

Key Responsibilities

• Design, build, and maintain high‑performance backend API services using Python, FastAPI, and Pandas.
• Develop clean, well‑documented RESTful and asynchronous APIs following best practices.
• Ensure APIs are scalable, secure, and optimized for performance in production environments.

Integration with Applications & Tools

• Integrate backend services with existing internal and client‑facing applications and third‑party tools.
• Work with message brokers (RabbitMQ) to design event‑driven and asynchronous integration patterns.
• Collaborate with stakeholders to ensure seamless data flow across interconnected systems.
• Design, develop, and maintain background ETL processes for data ingestion, transformation, and loading.
• Build and optimize data pipelines that support analytics, reporting, and operational workflows.
• Ensure data integrity, reliability, and traceability across all pipeline stages.
• Contribute to and lead discussions on system architecture, ensuring solutions are robust, scalable, and maintainable.
• Define technical standards and patterns for backend services across the engineering team.
• Evaluate and recommend cloud infrastructure components on Azure and GCP to support platform needs.
• Manage and optimize relational data models using PostgreSQL.
• Deploy and manage backend services on cloud platforms, preferably Azure and/or GCP.
• Collaborate with DevOps/MLOps engineers on CI/CD pipelines, containerization, and deployment strategies.
• Monitor service health and performance, proactively addressing bottlenecks and reliability issues.
• Work within an Agile/Scrum team, participating in sprint planning, daily stand‑ups, and retrospectives.
• Be an active team player, supporting peers through code reviews, knowledge sharing, and pair programming.
• Communicate technical decisions clearly to both technical and non‑technical stakeholders.

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience in backend or fullstack software development.
• Proven experience delivering production‑grade backend systems at scale.

Core Technical Skills

• Strong proficiency in Python as a primary backend language.
• Hands‑on experience with FastAPI and Pandas for building data‑driven API services.
• Solid experience with PostgreSQL – schema design, query optimization, and migrations.
• Experience with RabbitMQ or similar message brokers for asynchronous processing.
• Practical experience with cloud services, preferably Microsoft Azure and/or GCP.
• Demonstrated expertise in designing and implementing ETL pipelines and background processes.
• Strong understanding of system architecture principles – microservices, event‑driven design, and API gateways.

Soft Skills

• Strong team player with excellent collaboration and interpersonal skills.
• Effective communicator, able to articulate complex technical concepts clearly.
• Self‑motivated, detail‑oriented, and capable of managing multiple priorities.
• Passion for writing clean, maintainable, and well‑tested code.

Preferred Qualifications

• Frontend experience using React is a plus.
• Knowledge of SAP systems and integration patterns is advantageous.
• Familiarity with LLMs and AI/ML integration patterns is a plus but not mandatory.
• Experience working in cross‑functional, remote, or distributed engineering teams.
• Exposure to containerization of Applications (Docker, Kubernetes).

What We Offer

• Competitive consultancy fee commensurate with experience.
• Collaborative and growth‑oriented work environment.
• Continuous learning opportunities and access to cutting‑edge AI technologies.

If this sounds like you, we'd love to hear from you.

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