Backend Engineer – Threat Intelligence & Data Operations
Location: United Kingdom (Remote)
Employment Type: Permanent
About the Opportunity
Join a fast-growing, venture-backed cybersecurity technology company building cutting-edge solutions in Threat Intelligence, Exposure Management, Vulnerability Research, and Automated Red Teaming. This is an opportunity to work on highly scalable backend systems that power global cyber threat detection, security automation, and intelligence operations.
We are looking for a skilled Backend Engineer with strong expertise in Python, Django, Kubernetes, Celery, Cloud Infrastructure, and Data Pipelines to help scale high-throughput platforms that process massive volumes of real-time security telemetry and threat intelligence data.
Key Responsibilities
- Design, build, and scale high-performance Python/Django backend systems for Threat Intelligence operations
- Develop and optimize large-scale data ingestion and processing pipelines for security telemetry and vulnerability intelligence
- Implement scalable task orchestration using Celery, Kubernetes, and containerized microservices
- Integrate and operationalize LLM APIs (OpenAI, Anthropic, AI automation tools) to enhance cybersecurity workflows and intelligence gathering
- Build resilient backend infrastructure with strong focus on performance, monitoring, logging, reliability, and uptime
- Deploy and maintain systems within AWS, Azure, or GCP cloud environments using modern CI/CD pipelines
- Enhance search, indexing, and analytics capabilities using Elasticsearch/OpenSearch
- Collaborate with security researchers, engineers, and platform teams to automate and scale Threat Intelligence operations
Required Skills & Experience
- 3–6 years of experience in Backend Engineering or Software Engineering
- Strong programming expertise in Python and Django Framework
- Experience building scalable backend architectures in high-growth or fast-paced environments
- Hands-on experience with Kubernetes, Docker, Celery, CI/CD pipelines, and Cloud Infrastructure
- Experience working with Threat Intelligence, Cybersecurity Platforms, Security Data, or Vulnerability Management systems
- Strong understanding of data pipelines, distributed systems, and real-time data processing
- Experience with Elasticsearch/OpenSearch for search and analytics platforms
- Exposure to LLM integrations, AI-powered automation, or OpenAI/Anthropic APIs
- Familiarity with AWS, Azure, or GCP cloud ecosystems
- Strong problem-solving skills with an ownership-driven startup mindset
Python, Django, Backend Engineering, Cybersecurity, Threat Intelligence, Kubernetes, Docker, Celery, Elasticsearch, OpenSearch, AWS, Azure, GCP, CI/CD, Data Pipelines, LLM, OpenAI, Anthropic, AI Automation, Vulnerability Management, Security Operations, Cloud Infrastructure, Distributed Systems, Red Teaming, Exposure Management.