Software Engineer, Backend - AI Practice Team
American Bureau of Shipping
Warrington, United Kingdom
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Warrington, United Kingdom
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Databases
Command-Query Responsibility Segregation (Software Development)
Data Structures
Distributed Systems
Fault Tolerance
Python
Performance Tuning
Query Optimization
Data Streaming
Web Services
Data Processing
Google Cloud Platform
Database Optimization
Backend
Containerization
Kubernetes
Information Technology
Real Time Data
Kafka
Event Sourcing
Data Pipelines
Docker
Databricks
Job description
- Architect distributed systems: Design and implement event-driven backends using advanced patterns such as CQRS, Event Sourcing, Saga, and Circuit Breakers.Build at scale: Develop and maintain web services in Go and Python, leveraging cloud-native infrastructure for resiliency and elasticity.
- Optimize for performance: Ensure APIs and data pipelines meet strict SLAs through advanced performance profiling, caching, and query optimization.
- Stream real-time data: Engineer high-throughput pipelines using Apache Kafka and other event streaming platforms.
- Deliver reliability: Establish strong observability, testing, and monitoring practices to guarantee consistency, uptime, and fault tolerance.
Requirements
Do you have experience in Python?, Do you have a Bachelor's degree?, * Bachelor's degree in Computer Science, Engineering, or related field.
- 8+ years of backend development experience, with a focus on high-performance, data-intensive systems.
- 5+ years deploying and operating applications on AWS, Azure, or Google Cloud.
- Proven track record building production systems that sustain high concurrency and throughput.
Knowledge, Skills, and Abilities
- Expert proficiency in Go and Python for backend development.
- Deep experience with event-driven architectures and real-time streaming, particularly Apache Kafka.
- Mastery of distributed system patterns (CQRS, Event Sourcing, Saga, Circuit Breaker, Bulkhead).
- Strong command of performance optimization-caching layers, database tuning, and system-level profiling.
- Hands-on experience with analytics platforms (e.g., Databricks) for large-scale data processing and ML workflows.
- Proficiency with containerization (Docker, Kubernetes) and infrastructure as code.
- Familiarity with vector databases, search systems, and advanced retrieval-optimized data structures.
- Must hold a valid right to work status in the UK.