Security Engineer III

Securiti; San Jose (CA); On-site; USD 209,000 - 348,000; Full time

Benefits offered by this job

Unlimited paid time off

Medical, dental, vision coverage

401(k) with company matching

Paid parental leave

Job summary

Veeam is seeking a Security Engineer III to own detection and response across our cloud landscape, building a security data lake and guardrails in Azure and AWS. This hands-on role sits in Platform Security, partnering with SRE and Product Engineering to ship reliable security controls.

You'll design telemetry pipelines, author detections as code, automate triage, and push security into production via CI/CD. Strong Azure/AWS experience required.

Qualifications

• 5+ years in security engineering, cloud operations, or detection engineering with hands-on ownership of production cloud security work.
• Production Terraform experience; ability to create reusable modules used by multiple teams.
• Deep Azure and AWS knowledge: identities, logging, network boundaries, and defaults.
• Proven detection development: authored detections from real telemetry and validated results.
• Strong fundamentals in RBAC, secrets management, egress control, and public-exposure prevention.
• Fluent in at least one security query language (KQL/SQL) and ability to diagnose data-model issues.
• Python or similar scripting for tooling; capable of building/maintaining automation.
• Track record of shipping production code or infrastructure; hands-on role, not advisory.

Responsibilities

• Design and build the security data lake including telemetry ingestion from Azure, AWS, and SaaS sources.
• Write, tune, and version-control detections as code; manage lifecycle through CI/CD and testing.
• Automate triage and enrichment; integrate runbooks and reduce meantime-to-detect/respond.
• Harden Azure and AWS environments: identity, RBAC, network, logging, and exposure controls.
• Deliver cloud security controls as Terraform modules deployed across environments.
• Prioritize cloud security findings; partner with resource owners to close gaps.
• Run threat framework assessments; identify gaps and close them in collaboration with teams.
• Set strategic direction for detection and cloud security tooling adoption or retirement.

Skills

Security engineering

Cloud operations

Detection engineering

Terraform

Azure

AWS

Python

PowerShell / Bash

KQL / SQL

Education

Bachelor's degree or equivalent in a relevant field

Tools

Terraform

GitHub Actions

Azure DevOps

Azure Security Center

CloudTrail / GuardDuty

Job description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands.

About the Role

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.

What You'll Do

• 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

Technologies You'll Work With

• Microsoft Sentinel, Log Analytics, and KQL for detection authoring and hunting
• Azure security services: Defender for Cloud, Entra ID, Key Vault, Azure Policy, Azure Monitor, Event Hubs
• AWS security services: CloudTrail, GuardDuty, Security Hub, IAM, Config, CloudWatch
• Terraform for all cloud security and detection infrastructure, with GitHub Actions and Azure DevOps as the delivery path
• Wiz for cloud security posture, attack-path analysis, and vulnerability signal
• Security data lake and pipeline components: object storage (ADLS / S3), OCSF-style normalization, Azure Data Explorer or an equivalent query engine, and Azure Functions / Lambda for glue
• Python for detection tooling, enrichment, and automation, with comfort reading PowerShell and Bash
• Sigma and detection-as-code patterns, plus Git-based review for every rule change

What You'll Bring

• 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

Bonus Skills

• 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)

#LI-SO2

What you’ll get

• 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

Pay Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.

In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.

Compensation Range (TTC / OTE)

$208,500---$347,500 USD

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.