Senior Software Engineer – Customer Platform Engineering

Job summary

Obsidian Security is forming a new Customer Platform Engineering (CPE) team to address high-priority customer needs and operational escalations. This role involves solving ambiguous problems, working across the stack, and delivering high-impact solutions in fast-moving situations, focusing on rapid response and targeted engineering execution.

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.
• 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.
• 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).

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 to improve response time and reliability.
• Leverage modern AI engineering tools to accelerate investigation, debugging, and solution development.

Skills

Relocation