Cloud Security Engineer

Are you energized by building at the intersection of cloud and security engineering? Our current cloud security tooling is a genuinely wide, still-evolving mix — cloud-native platforms, CNAPP tooling, and classic SIEM — with real room to bring more coherence to it, and a real appetite to bring AI into how we build, detect, and analyze. If designing the telemetry, data, and infrastructure that a global organization depends on to detect and respond to threats across a multi-cloud environment sounds like a good problem to work on, read on to learn about an opportunity on the Cloud Defensive Operations team within Deloitte's Global Cloud Security (GCS) organization.

As a Cloud Defense Security Engineer, you'll design, build, and directly manage the cloud security telemetry, monitoring, and alerting infrastructure that underpins how Deloitte's global cloud platform — used by Member Firms worldwide — is defended. GCS builds the platform-level capabilities that our Cyber Defense team relies on to see, understand, and respond to what's happening across the cloud — so your work has direct, foundational impact on Cyber, without the SOC or on-call rotation that usually comes with it.

This role is anchored in strong, hands-on technical execution across AWS, Azure, and/or GCP. The ability to collaborate across teams and contribute to strategy matters too, but it's something we'll help you build over time rather than expect on day one.

This role reports to the Cloud Defensive Operations Manager.

Where you'll make an impact:

• Cloud detection and response platform. Contribute to an internal platform GCS builds to support Cyber Defense's cloud investigation, triage, and response.
• Unified threat visibility. Help bring cloud-native alerts, internal configuration guardrails, and our cloud-native application protection (CNAPP) service into a more unified view, in a landscape that's genuinely still evolving.
• AI-infused security engineering. Explore how AI can change how we build, detect, and analyze — from AI-assisted engineering to AI-driven correlation across data sources.

Responsibilities:

• Design, build, and directly manage cloud security telemetry, logging, and alerting infrastructure — including log ingestion, storage, retention, and retrieval — across multiple cloud environments.
• Apply modern software and cloud engineering practices — IaC, automation, CI/CD — to security-critical systems.
• Spot and help close gaps in visibility or coverage, and contribute ideas on guardrails and improvements as you grow into the role.
• Support post-incident reviews, document your work, and build working relationships across GCS, Cyber Defense, and cloud engineering teams.

What you'll bring:

This role is anchored in strong technical execution, with room to grow into the strategic and cross-team side of the work. The strongest candidates will demonstrate:

• Modern engineering depth. A genuine software or cloud engineering background — not just security tooling configuration.
• Cross-system thinking. Some real experience working across multiple systems, clouds, or tools, even if you're still building depth.
• A collaborative mindset. Comfort working with people outside your immediate team, with room to keep growing that skill.
• Curiosity and ownership. You treat gaps and incidents as chances to improve things, and you're comfortable with some ambiguity.

Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived.

Required:

• Bachelor's degree or equivalent experience, plus 5+ years in software engineering, cloud engineering, or data engineering
• Hands-on, multi-cloud experience (AWS, Azure, and/or GCP), including directly managing cloud security infrastructure such as logging and alerting
• Programming and Infrastructure as Code experience (e.g., Python, Terraform, or similar)
• Some experience with data modeling or correlating data across systems, and communicating with stakeholders outside your immediate team — depth isn't required, but this shouldn't be uncharted territory
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Desired Skills / Certifications:

• Cloud-native telemetry & automation: Broader automation, scripting, or IaC experience (Terraform, Bicep, Pulumi); familiarity with unified data platforms, data modeling, data science, or reporting/BI tools such as Power BI
• Detection & SIEM platforms: Hands-on experience with major SIEM or log-analytics platforms — Splunk, Microsoft Sentinel, or Google SecOps/Chronicle — and query authoring in KQL, SPL, or similar correlation languages
• CNAPP & posture tooling: Experience with major cloud-native security platforms or CNAPP tooling such as Wiz, Prisma Cloud, Microsoft Defender for Cloud, or Orca Security.
• Container & workload security: Exposure to Kubernetes/Docker security, and awareness of frameworks like MITRE ATT&CK for Cloud.
• Applied AI: Hands-on use of AI tools for building, analyzing, or correlating security data
• Relevant certifications: AWS Certified Security – Specialty, Microsoft Certified: Azure Security Engineer Associate (AZ-500), Google Cloud Professional Cloud Security Engineer, CCSP, GIAC GCSA/GCDA, or Certified Kubernetes Security Specialist (CKS)
• Adjacent exposure: Experience with Security Operations, Incident Response, or Cyber Defense as a partner team.