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# Senior Backend Engineer

- **Company:** Obsidian Security
- **Location:** Cheltenham, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Infrastructure, Relational Databases, Programming Tools, Distributed Systems, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, Redis, Prometheus, Standard Sql, Systems Integration, Multithreading, Large Language Models, Grafana, Backend, Git, Gitlab-ci, Solid Principles, Apache Kafka, Stream Processing, Docker, Programming Languages
- **Published:** August 3, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=da3d55265a21d8f6

## About the Role

* 5-7 years of experience in a software engineering role
 * Proficiency in one or more modern programming languages such as Python, Go or SQL
 * Experience building backend services, APIs, and multithreaded applications
 * Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
 * Strong knowledge of relational databases (e.g., Postgres)
 * Experience collaborating in team environments and adapting to changing requirements
 * Understanding of software design principles and engineering best practices
 * Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis)
 * Familiarity with Git for version control and deployment tooling such as GitLab CI/CD

Desirable Experience

 * Experience with system monitoring and observability tools such as Grafana, Prometheus, or similar platforms
 * Understanding of quality engineering (QE) practices across development and testing lifecycles
 * Exposure to large-scale distributed systems and performance optimisation

AI Skills & AI-Native Engineering Expectations: As an AI-forward engineering organization, we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to enhance development efficiency and build AI-ready systems.

AI Engineering Capabilities:

 * Leverage AI tools effectively to improve development efficiency and build AI-ready systems.
 * Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs.
 * Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation).
 * Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG).
 * Ensure data quality, governance, observability, reliability, security, and performance in AI-driven systems.



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