Backend Engineer
ETeam Inc
Sheffield, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
Β£99,840.0
Working hours
Regular working hours
Job source
Tech stack
Clean Code Principles
AI Evaluation
JavaScript (Programming Language)
Artificial Intelligence
Automation of Tests
Business Software
Cloud Computing
Code Review
Cyber Security
Continuous Integration
Software Debugging
DevOps
+39 more
Distributed Systems
Django Web Framework
Monitoring of Systems
Python (Programming Language)
Key Management
NoSQL
Object-Oriented Software Development
Query Optimization
Software Safety
Software Engineering
Systems Integration
Strategies of Testing
TypeScript
Web Application Frameworks
Software Organization
Data Logging
ReactJS
Retrieval-Augmented Generation
Flask (Web Framework)
Delivery Pipeline
Large Language Models
Grafana
Prompt Engineering
Model Validation
Generative AI
Backend
Agentic-AI
Fastapi
Pytest
Material UI
Kubernetes
Front End Software Development
Functional Programming
Api Design
Restful APIs
Software Version Control
Dynatrace
Api Management
Web Api
Job description
- We are seeking a highly skilled and motivated Backend Engineer to join our growing technology team. This role will focus on designing, building, and maintaining secure, scalable, and high-performing Back End services that support critical business applications and AI-enabled solutions. The successful candidate will play a key role in developing robust APIs, integrating enterprise systems, and delivering innovative solutions that leverage modern cloud technologies and Generative AI capabilities.
- As a Backend Engineer, you will collaborate closely with product managers, designers, data specialists, architects, and fellow engineers to transform business requirements into reliable and maintainable technical solutions. You will be expected to demonstrate strong engineering fundamentals, uphold software development best practices, and contribute to the continuous improvement of our technology landscape., * Design, develop, test, deploy, and maintain secure, scalable Back End applications, services, and RESTful APIs primarily using Python.
- Deliver high-quality, production-ready software through modern engineering practices including version control, automated testing, peer code reviews, CI/CD pipelines, and technical documentation.
- Integrate Back End services with enterprise platforms, data sources, and third-party APIs, ensuring effective authentication, authorization, resilience, and error handling.
- Build and support AI-enabled capabilities, including Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG), prompt engineering workflows, and agent-based architectures.
- Implement AI governance practices including model evaluation, monitoring, guardrails, security controls, and human oversight to ensure responsible and reliable deployment of AI solutions.
- Investigate and resolve application defects, performance bottlenecks, and operational incidents using logs, metrics, tracing, and observability tools.
- Work collaboratively with cross-functional teams to understand requirements, define technical approaches, and deliver successful outcomes.
- Participate in architecture and technical design discussions, providing estimates and recommendations to support project planning and delivery.
- Stay informed of emerging trends in software engineering, cloud technologies, cybersecurity, and artificial intelligence, applying relevant innovations where appropriate.
- Contribute to the continuous improvement of development standards, processes, and engineering practices.
Requirements
- Strong commercial experience developing Back End applications and services using Python.
- Proven experience building and maintaining RESTful APIs and distributed systems.
- Hands-on expertise with Python frameworks such as FastAPI, Flask, or Django.
- Experience using testing frameworks such as pytest and working with package/dependency management tools.
- Strong understanding of software engineering principles including clean code, object-oriented and/or functional programming, debugging, testing strategies, API design, and source control.
- Experience working with both relational and NoSQL databases, including data modelling and query optimisation.
- Practical experience implementing Generative AI solutions using LLM APIs and orchestration frameworks.
- Solid understanding of RAG architectures, embeddings, vector databases, prompt engineering, AI evaluation techniques, agent workflows, and AI safety controls.
- Experience with cloud platforms, containerisation technologies, and automated CI/CD deployment pipelines.
- Knowledge of secure software development practices, including secrets management, access control, dependency management, and data protection.
- Strong analytical thinking, troubleshooting capabilities, and problem-solving skills.
- Excellent written and verbal communication skills with the ability to communicate technical concepts to both technical and non-technical stakeholders.
Desirable Skills:
- Front End development experience using React, TypeScript, JavaScript, and modern UI component libraries.
- Experience building full-stack applications or working closely with Front End teams to define API contracts and user experiences.
- Familiarity with observability and monitoring tools, including application logging, monitoring platforms, and distributed tracing solutions.
- Experience delivering solutions within regulated, enterprise-scale, financial services, or security-conscious environments.
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