Senior Software Engineer - Data Pipelines
Obsidian SecurityManchester, UkPosted 19 March 2026
Job Description
Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more.
Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black.
Now, we’re transforming how SaaS is secured—in the era of agentic AI.
Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 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.
With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!
About the Role - as a Senior Engineer at Obsidian, you’ll:
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 a hybrid working, with supported remote working 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 in 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 help 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 ... (truncated, view full listing at source)
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