Obsidiansecurity1mo ago

Senior Backend Engineer

Cheltenhamsenior

EngineeringBackend Engineering

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Quick Summary

Overview

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.

Technical Tools

EngineeringBackend Engineering

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

~1 min read

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

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 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.