Job Description

About the Role

We are seeking a highly skilled

Backend Cloud Engineer

with strong experience in building, scaling, and maintaining modern cloud-native backend systems. You will play a key role in designing resilient architectures, implementing best practices for DevOps, and ensuring our services scale smoothly to handle high-traffic workloads. The ideal candidate has hands-on experience with

Python, AWS cloud services, observability tools, and modern DevOps practices

.

You'll collaborate closely with cross-functional teams--engineering, product, and data science--to deliver robust and performant backend services that support both internal applications and customer-facing products.

Responsibilities

Design, implement, and maintain backend services using

Python (FastAPI, Alembic, etc.)

Build and deploy infrastructure using

AWS CloudFormation

and modern

IaC practices

Develop and scale services on

AWS Lambda, ECS, and EKS

Manage

API Gateway

,

SQS

, and integrations with cloud-native services Ensure high availability and performance in

high-traffic, distributed systems

Implement monitoring, logging, and alerting with

Grafana, Prometheus, and CloudWatch

Optimize relational databases, schema migrations, and query performance Conduct

load testing, stress testing, and performance tuning

to ensure scalability Apply best practices for CI/CD, automated testing, and deployment pipelines Collaborate with AI/ML teams on integrations with platforms like

OpenAI, Anthropic, and other LLM-based services

Drive improvements in system reliability, fault tolerance, and security

Qualifications

Required

4+ years of professional backend engineering experience (mid-senior level) Strong programming skills in

Python

Hands-on experience with

AWS services

: CloudFormation, Lambda, ECS, EKS, API Gateway, SQS Experience managing

Postgres

in production, including schema migrations Proven ability to design and operate

scalable, high-traffic architectures

Familiarity with

DevOps workflows

: CI/CD, automated testing, infrastructure as code Proficiency in

monitoring/observability

with Prometheus, Grafana, and related tools Solid understanding of system performance optimization and load testing

Nice to Have

Experience integrating with

LLM APIs (OpenAI, Anthropic, etc.)

Knowledge of container orchestration beyond AWS (Kubernetes best practices, Helm) Experience with data streaming and event-driven architectures Contributions to open-source projects or technical community involvement

What We Offer

Competitive compensation and benefits Opportunity to work on cutting-edge cloud and AI-driven projects A collaborative, engineering-driven culture where technical excellence is valued Flexible work environment (remote/hybrid)
Job Types: Full-time, Permanent

Pay: 35,000.00-45,000.00 per year

Benefits:

Company pension Flexitime Health & wellbeing programme Sick pay Work from home
Work Location: Hybrid remote in Scotland, EH3 9DR