Senior Software Engineer - Data Pipelines
Cheltenham, Gloucestershire, GL50, England, UK
Listed on 2026-06-23
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Software Development
Backend Developer, Cloud Engineer - Software, DevOps, AI Engineer (Applied/Software)
Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T‑Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world’s largest Fortune 1000 and Global 2000 companies.
Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company offers a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source.
With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention‑focused browser extension and expand coverage over time.
With global momentum, a growing partner ecosystem and a major fundraise ahead, Obsidian is scaling rapidly toward long‑term growth and IPO readiness.
- Build or extend data pipelines that power Obsidian’s Agentic AI and supply chain risk products.
- 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.
- Identify and proliferate best practices in data pipeline design between both the UK and US teams.
- You will 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 hybrid working with supported remote work and great office spaces in Cheltenham and Manchester.
- 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 Git Lab CI/CD.
- Experience influencing design patterns based on best practices.
- Experience assessing alternative data architecture designs to produce accurate and unbiased recommendations.
- Experience with system monitoring and observability tools such as Grafana, Prometheus, or similar platforms.
- Understanding of quality engineering (QE) practices across development and testing life cycles.
- Exposure to large‑scale distributed systems and performance optimisation.
- Experience in forming strong stakeholder relationships to promote joint working between teams.
- Experience of working alongside both UK and US development teams.
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…
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