Sr. Cybersecurity Engineer - 26156

Description
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
We are currently seeking a Senior Security Engineer - AI & Automation to join our Information Security team. This role offers the opportunity to shape and operate cutting-edge AI-driven security capabilities within a modern SaaS environment, helping protect a rapidly growing global platform.
Performance Objectives

• Architect and operate AI-driven security automation across Microsoft Sentinel, Defender, Entra, and Purview.
• Design and manage AI security agents for incident triage, threat hunting, and automated response.
• Build and maintain integrations (e.g. MCP servers, Azure Functions) connecting security tooling with AI agent frameworks.
• Lead detection engineering, including KQL development, validation, and CI/CD deployment pipelines.
• Optimise security platform performance and cost (e.g. Sentinel Data Lake, Copilot consumption).
• Drive identity-aware automation in collaboration with IAM teams.
• Lead security architecture reviews for new platforms, AI tools, and integrations.
• Establish and promote engineering standards for detection-as-code, AI agents, and automation workflows.
• Mentor team members on AI-assisted security operations and responsible AI practices.

Competitive Candidate Profile

• 5+ years of security engineering experience, including hands-on work with Microsoft security technologies.
• Strong expertise with Microsoft Sentinel, Defender XDR, Entra ID, and Security Copilot.
• Proven experience designing and operating AI-assisted security workflows or automation.
• Hands-on experience with cloud-native environments and serverless automation (e.g. Azure Functions, Logic Apps).
• Advanced skills in KQL, with experience in detection engineering and threat hunting.
• Proficiency in scripting (PowerShell, Python) and CI/CD pipelines (Azure DevOps preferred).
• Experience with identity security, Zero Trust architecture, and access management.
• Familiarity with AI agent frameworks, MCP servers, or multi-agent orchestration is a strong advantage.
• Strong communication skills and ability to translate complex technical topics for diverse stakeholders.
• Bachelor's degree in a related field; relevant certifications (e.g. SC-200, AZ-500, CISSP) are plus.

This role is eligible for: Variable Compensation