Senior Software Engineer Data Pipelines

Manchester - UK

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Founded in 2017 Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happensplatforms like Microsoft 365 Salesforce and hundreds more.

Backed by top investors including Greylock Norwest Venture Partners and IVP weve 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 were transforming how SaaS is securedin 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 Zealandincluding many of the worlds 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 were 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 youll:

Build or extend data pipelines that power Obsidians 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.

Whats 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 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.

Required Experience:

Senior IC

Founded in 2017 Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happensplatforms like Microsoft 365 Salesforce and hundreds more.Backed by top investors including Greylock Norwest Venture Partners and IVP weve built a complete SaaS security...