About the role

Design, build, and maintain Python-based integration services, REST APIs, and event-driven processing pipelines. Manage production infrastructure, monitor service reliability, and collaborate with internal and external teams to ensure secure data integration.

What they look for

Python Django FastAPI Flask REST APIs Webhooks AWS PostgreSQL Infrastructure as Code Terraform Pulumi Kafka Celery CI/CD Pytest OAuth2

Requirements

Requires at least four years of professional experience in Python backend development with frameworks like Django, FastAPI, or Flask. Candidates must have strong expertise in integrating third-party APIs, managing asynchronous architectures, and working with cloud-native AWS environments.

Full description

About the Role

Our platform sits between customer-facing systems and a network of partner and vendor APIs, including order management, provisioning, contract management, and field operations systems. Python is the language of this integration layer.

As a Senior Python Integration Engineer, you will design, build, and operate REST APIs, webhooks, and asynchronous integration services that enable reliable communication between internal systems and external partner platforms. This is a hands-on role with end-to-end production ownership, where you will design resilient integration solutions, monitor production services, and continuously improve platform reliability.

Key Responsibilities

• Design, build, and maintain Python integration services and REST APIs using Django/DRF, FastAPI, or Flask.

• Build and operate webhook consumers and event-driven processing pipelines, including signature verification, idempotent processing, retries, dead-letter handling, and event sequencing.

• Develop asynchronous processing solutions using queues and workers such as SQS, Lambda, Celery, or Kafka consumers.

• Configure and manage API gateway services (Kong or similar), including authentication, routing, rate limiting, and declarative configuration.

• Ensure data integrity across integrations by managing API schema evolution, data normalisation, reconciliation, and version compatibility.

• Monitor, troubleshoot, and support production services using dashboards, logging, alerts, tracing, and operational runbooks.

• Manage infrastructure using Infrastructure as Code tools such as Pulumi or Terraform across development and production environments.

• Improve application reliability through code reviews, automated testing, performance optimisation, and failure isolation.

• Collaborate with internal engineering teams and external partners to deliver secure, scalable, and reliable integration solutions.

Requirements

• Minimum of four (4) years' professional experience developing backend services in Python using Django/DRF, FastAPI, or Flask.

• Strong experience integrating third-party APIs, including OAuth2, JWT, API Keys, HMAC, pagination, rate limiting, and API versioning.

• Experience designing and implementing asynchronous and event-driven architectures using SQS, Celery, Kafka, or similar technologies.

• Strong knowledge of PostgreSQL, including schema design, migrations, transactions, query optimisation, and connection management.

• Experience deploying cloud-native applications on AWS using containers and/or serverless technologies.

• Strong understanding of structured logging, monitoring, metrics, alerting, and production incident management.

• Experience implementing automated testing using pytest, integration testing, and CI/CD pipelines.

Preferred Qualifications

• Experience working with Kong or other API gateway platforms.

• Experience with Infrastructure as Code using Pulumi or Terraform.

• Experience within telecommunications, utilities, or similar integration-intensive environments.

• Production experience with Apache Kafka.

• Experience using Datadog or equivalent monitoring platforms.

• Experience with Docker Swarm or Kubernetes.

• Experience working directly with external vendors and engineering teams