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Senior Software Engineer – Customer Platform Engineering

Obsidian Security -
Manchester

Quick apply

Job details

£111,000 - £123,000 a year
1 day ago

Qualifications

Go
Kubernetes
Google Cloud Platform
AWS
Incident response
Distributed systems
APIs
SaaS
AI
Communication skills
Python
Debugging

Full 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:

We are building a new engineering team focused on handling high-priority customer needs and operational escalations while protecting the broader engineering organization from disruption.

The Customer Platform Engineering (CPE) team addresses urgent investigations, customer-blocking issues, executive requests, and rapid solution development that require immediate engineering attention. This team ensures that core engineering groups can remain focused on roadmap delivery while critical issues are resolved quickly and effectively. Members of this team act as experienced generalists who can move across systems, diagnose complex problems, and coordinate with multiple teams to deliver solutions under time pressure. This role is ideal for engineers who enjoy solving ambiguous problems, working across the stack, and delivering high-impact solutions in fast-moving situations.

Responsibilities:

Triage and resolve urgent customer escalations and production issues
Investigate complex system behavior and diagnose cross-service problems
Develop rapid prototypes and proofs of concept to address customer needs
Support pre-sales engineering with technical validation and feasibility analysis
Respond to high-priority internal requests requiring rapid engineering response
Coordinate with multiple engineering teams to unblock critical work
Implement targeted fixes and document findings for long-term product improvements
Identify systemic issues and recommend structural improvements to core engineering teams
Contribute to internal tooling, runbooks, and operational processes that improve response time and reliability
Leverage modern AI engineering tools to accelerate investigation, debugging, and solution development

Scope of Work:

This team focuses on rapid response and targeted engineering execution rather than long-term product ownership. The role will primarily involve:

Urgent investigations
Customer-blocking issues
Cross-team coordination
Rapid solution development

Qualifications:

6+ years of software engineering experience
Strong proficiency in GoLang and/or Python
Strong troubleshooting and debugging skills across distributed systems
Ability to quickly understand and work within unfamiliar codebases
Experience working across multiple layers of the stack (backend, frontend, infrastructure, APIs, data systems)
Strong communication skills and ability to coordinate across teams
Comfortable working in high-priority, time-sensitive situations

AI & Developer Productivity

Proficiency using modern AI-assisted development tools (e.g., Claude, Copilot,
ChatGPT, or similar) to accelerate coding, debugging, and investigation
Ability to effectively prompt, validate, and integrate AI-generated solutions while maintaining strong engineering judgment
Experience incorporating AI tooling into engineering workflows to improve speed and operational effectiveness

Preferred:

Experience supporting enterprise SaaS products
Experience with production incident response or escalation engineering
Familiarity with cloud platforms and modern infrastructure (e.g., Kubernetes,
AWS, GCP)

Quick apply

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