DataDog

1 month ago

Senior Security Engineer - Cloud SIEM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Security Engineer focusing on Datadog’s Cloud SIEM product to shape detection, investigation, and response capabilities at cloud scale. You’ll develop high-impact threat detection content, enhance AI-assisted workflows, and drive agentic security operations across cloud-native and enterprise environments, collaborating with product, engineering, and security research teams.

Location: Lisbon

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Sr. Manager level

Key Responsibilities

•Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale.
•Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities.
•Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement.
•Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces.
•Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform.

Pay and Benefits

Equity and Bonus:Equity

Perks:RsusEsppHealth InsuranceLearning Experiences

Key Requirements

•Experienced in detection engineering, incident response, threat hunting, security operations, or related defensive security disciplines.
•Knowledgeable in securing and operating public cloud environments such as AWS, Azure, or GCP, along with cloud-native technologies including Kubernetes, Docker, and Terraform.
•Skilled in modern detection engineering practices, including detection-as-code methodologies and large-scale security telemetry analysis.
•Proficient in Python, Go, or similar programming languages used to automate workflows, analyze security data, and build security tooling.
•Comfortable driving initiatives through ambiguity while collaborating effectively across engineering, product, and research organizations.

Experience:Cloud securityCybersecurity

Skills:PythonGoKubernetesDockerTerraformSecurityDetection engineering

Languages:English

Tech Stack:AWSAzureGCPKubernetesDockerTerraformPythonGo

Company Brief

DataDog

Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

DataDog

1 month ago

Senior Security Engineer - Cloud SIEM

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Lisbon

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Sr. Manager level

Key Responsibilities

•Research attacker techniques, defensive strategies, and emerging threats, translating findings into scalable security capabilities that protect customers at cloud scale.
•Design and improve AI-powered investigation, threat hunting, and response workflows that support Datadog’s agentic SOC capabilities.
•Own the lifecycle of threat detections and automated security workflows, from research and design through deployment, measurement, and continuous improvement.
•Develop high-fidelity detection content across cloud platforms, SaaS applications, identity systems, endpoints, networks, and other modern attack surfaces.
•Partner with Product, Engineering, Security Research, and customers to influence roadmap decisions and improve security outcomes across the platform.

Pay and Benefits

Equity and Bonus:Equity

Perks:RsusEsppHealth InsuranceLearning Experiences

Key Requirements

•Experienced in detection engineering, incident response, threat hunting, security operations, or related defensive security disciplines.
•Knowledgeable in securing and operating public cloud environments such as AWS, Azure, or GCP, along with cloud-native technologies including Kubernetes, Docker, and Terraform.
•Skilled in modern detection engineering practices, including detection-as-code methodologies and large-scale security telemetry analysis.
•Proficient in Python, Go, or similar programming languages used to automate workflows, analyze security data, and build security tooling.
•Comfortable driving initiatives through ambiguity while collaborating effectively across engineering, product, and research organizations.

Experience:Cloud securityCybersecurity

Skills:PythonGoKubernetesDockerTerraformSecurityDetection engineering

Languages:English

Tech Stack:AWSAzureGCPKubernetesDockerTerraformPythonGo

Company Brief

DataDog

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn