Security Engineer III

Veeam Software•San Jose, CA

1d•$208,500 - $347,500

About The Position

We're looking for a Security Engineer III to own how we detect and respond to threats across our cloud estate, and to build the security data lake that makes that possible. Our cloud-native SaaS platform runs on Microsoft Azure and AWS, delivering high-trust, secure data protection services to customers across regulated industries. This role sits in Platform Security and owns the detection engineering and cloud security surface end to end: the pipelines that get security telemetry into one queryable place, the detections that fire off it, and the guardrails in Azure and AWS that stop the finding from recurring. You'll partner closely with SRE, Product Engineering, and the rest of Security Engineering, and your work is based on shipped mechanisms rather than on advice given.

Requirements

5+ years in security engineering, cloud operations, or detection engineering, with recent hands-on ownership of production cloud security work
Production Terraform experience. You've written and maintained modules other teams consume, and you know why a security control belongs in code rather than in a runbook
Real operational depth in both Azure and AWS: identity models, logging and audit sources, network boundaries, and where each provider's defaults leave you exposed
Demonstrated detection building. You've written detections against real telemetry, tuned them against real false positives, and can explain a specific rule you shipped and how you validated it
Strong cloud security fundamentals: RBAC and least privilege, secret and key management, egress control, and public-exposure prevention
Fluency in at least one query language for security data (KQL, SQL, or equivalent) and the judgment to know when a query problem is actually a data-model problem
Scripting and automation ability in Python or a comparable language, enough to build and maintain tooling rather than only configure vendor products
A track record of shipping production code or infrastructure you can point to. This is a hands-on building role, not an advisory one

Nice To Haves

Microsoft Sentinel at production scale: analytics rules, automation rules, ingestion cost management, and multi-workspace design
Wiz experience, including turning posture and attack-path findings into an owned remediation workflow
Incident response experience in a cloud environment, on-call or as an investigator
Security data lake or SIEM migration experience, including cost and retention tradeoffs
Kubernetes and container security exposure (AKS, EKS) and runtime detection for containerized workloads
Familiarity with regulated-industry audit expectations (SOC 2 Type 2, ISO 27001, FedRAMP, HITRUST) and what auditors want from logging and monitoring controls
Relevant certifications (Azure or AWS security specialty, GCIA, GCDA, or similar)

Responsibilities

Design and build our security data lake: decide what telemetry we ingest from Azure, AWS, SaaS, and endpoint sources, how it's normalized and retained, and what it costs, so that detection engineers and incident responders can answer questions in minutes instead of days
Write, tune, and version-control detections as code. Own the full lifecycle: hypothesis, query, test, deploy through CI/CD, measure false-positive rate, and retire what stops earning its keep
Build the response side with the detections. Automate triage and enrichment, wire runbooks into the tooling, and cut mean-time-to-detect and mean-time-to-respond on the alert classes that matter most
Hands on hardening our Azure and AWS environments: identity and RBAC boundaries, network egress, key and secret handling, logging coverage, and public-exposure control across multiple tenants and accounts
Deliver cloud security controls as Terraform. Anything you fix once should land in the modules and pipelines so it stays fixed, in every environment, without a human remembering
Turn cloud security posture findings into a prioritized, owned, and closing queue. Partner with the teams that own the resources and make remediation the path of least resistance
Run detection coverage assessments against a recognized threat framework, find the gaps that matter for our platform and threat model, and close them
Set direction on detection and cloud security tooling: what to adopt, what to retire, and what we build ourselves

Benefits

Unlimited paid time off
12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning