Senior Software Engineer - Data Pipelines

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.

About the Role

• 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.

What’s In It For You

• 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.

Required Skills & Experience

• 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.
• Experience influencing design patterns based on best practices.
• Experience assessing alternative data architecture designs to produce accurate and unbiased recommendations.

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.
• Experience in forming strong stakeholder relationships to promote joint working between teams.
• Experience of working alongside both UK and US development teams.

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.

Employee Benefits

Our competitive benefits packages are designed to support our employees' well‑being, both at work and at home. US based employees enjoy competitive compensation with equity and 401k, comprehensive healthcare with dental and vision coverage, flexible paid time off and holiday time off, 12 weeks of new parent or family leave, and personal and professional development resources.

For more details on our US benefits or international benefits, please see the attached information.

Base Salary Range: £91,000 GBP – £106,000 GBP

Equal‑Opportunity Statement

We are proud to be an equal‑opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact Information collected and processed as part of any job applications you choose to submit is subject to Obsidian’s Applicant Privacy Policy.

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