Artificial Intelligence (AI) Practice Team

Opportunityabs Bureau
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Amazon Web Services (AWS)
Azure
Databases
Command-Query Responsibility Segregation (Software Development)
Data Structures
Distributed Systems
Fault Tolerance
Python
Performance Tuning
Query Optimization
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

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.

What You Will Need:

Education and Experience

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

Requirements

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.

Reporting RelationshipsThis role reports to a project manager and does not initially include direct reports.

About

About the company

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Job DescriptionABS is seeking an exceptional Backend Engineer to join us full-time on our Artificial Intelligence (AI) Practice Team. In this role, you will design and scale high-performance backend systems that power real-time analytics and retrieval-augmented generation (RAG) pipelines. You'll build distributed services that deliver sub-500 ms response times under high load, enabling next-generation AI and data-driven applications.

What You Will Do:

Architect distributed systems: Design and implement event-driven, UsWe set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times.

ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We're at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.

Equal OpportunityABS Bureau is committed to the equal employment opportunity of its employees and prohibits discrimination against

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