As a Senior Backend Engineer at Obsidian Security, you will build and maintain backend processing systems that power the core SaaS security platform. You'll design APIs and backend services, collaborate with product and engineering teams, and apply strong software engineering practices in a fast-moving, collaborative environment.
What You'll Do
- Build new backend processing systems that power Obsidian’s core product
- Maintain, improve, and evolve existing systems to ensure performance, resilience, and scalability
- Design and implement APIs and backend services, including multithreaded applications
- Collaborate with product and engineering teams to support key product themes and ensure delivery of high-impact features
- Apply strong software engineering practices to requirements gathering, system design, and code reviews
- Contribute to a fast-moving, collaborative environment where adaptability and teamwork are essential
What We're Looking For
- 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
Nice to Have
- 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
- 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
Technical Stack
Python, Go, SQL, Docker, Kubernetes, Postgres, AWS, GCP, S3, Kafka, Redis, Git, GitLab CI/CD, Grafana, Prometheus, LLMs, vector databases, AI/ML APIs, RAG
Team & Environment
supportive and collaborative culture, innovative, fast-paced environment, teamwork, adaptability, collaboration, valuing contributions
Benefits & Compensation
- Have direct impact on the core product used by enterprises worldwide
- Work alongside a talented, friendly team in a supportive and collaborative culture
- Grow your skills with opportunities to learn new technologies and engineering practices
- Be part of an innovative, fast-paced environment where your contributions are valued
- Enjoy a hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester
Work Mode
hybrid working model with locations in Cheltenham and Manchester and supported remote working
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