Cloud Security Operations Engineer

📋 Job Overview

We’re building the AI-driven future of customer success, from retention to growth! Gainsight is the AI-powered retention engine behind the world’s most customer-centric companies. The Gainsight CustomerOS platform orchestrates the customer journey from onboarding to outcomes to advocacy. More than 2,000 companies trust Gainsight’s applications and AI agents to drive learning, adoption, community connection, and success for their customers.

🏢 About Gainsight

Gainsight is a place where innovation is shaped through collaboration, curiosity, and a shared focus on solving real-world problems. With a growing suite of products across customer success, product experience, community, education, and AI-powered relationship intelligence, we continue to evolve with the needs of our customers.

🎯 The Role

We’re looking for a full-time Cloud Security Operations Engineer to join our Security team reporting to the Senior Manager, AI Response & Threat. This role is a remote role based in Mexico. In this role, you’ll play a key role in strengthening our cloud detection and response practice by defending multi-cloud environments, building cloud detection coverage, leading incident investigations, and developing the tooling and processes that make the team more effective.

✅ Key Responsibilities

• Triage and investigate alerts end-to-end across cloud-native tooling (GuardDuty, Sentinel, Security Command Center), determining severity and scope and closing with documented findings
• Detect and respond to cloud-specific threats, including identity compromise, privilege escalation, access key and token abuse, misconfiguration exploitation, and data exfiltration from cloud storage
• Build detections on cloud audit logs (CloudTrail, Azure Activity and Entra ID logs, GCP Cloud Audit Logs), network flow logs, and container and workload telemetry
• Run proactive threat hunts using ATT&CK-aligned methods, including the Cloud and Containers matrices, to surface attacker activity that automated detection has missed
• Build automation for cloud containment actions, such as credential revocation, instance isolation, and policy quarantine
• Lead incident response from scoping and containment through post-incident review, performing forensics across cloud, host, network, and memory, and reporting clearly to technical and non-technical stakeholders
• Build, tune, and maintain SIEM correlation rules and Sigma-based detection-as-code pipelines that reduce noise and improve signal quality
• Own the health and reliability of the SecOps tooling estate, including SIEM, EDR, SOAR, and log ingestion pipelines, with responsibility for coverage, integration uptime, and vendor escalation
• Participate in the on-call rotation, maintain operational runbooks, and contribute to red and purple team exercises

📌 Required Qualifications

• 4+ years in security engineering, SOC operations (T2/T3), or incident response within a complex enterprise environment, including 3+ years defending production cloud workloads
• Bachelors Degree (or equivalent experience) and/or 5 years of related experience
• Strong knowledge of cloud security architecture and telemetry in at least one major provider (AWS, Azure, or GCP), including the log sources needed for effective detection and investigation
• Deep understanding of cloud IAM and identity-based attack paths, such as role assumption abuse, federation weaknesses, and long-lived credential compromise
• Hands-on experience investigating real cloud incidents using native cloud logs and forensic acquisition methods
• Experience with cloud-native threat detection services and with ingesting and normalizing cloud logs in a SIEM
• Working knowledge of core cloud infrastructure (compute, storage, networking, and serverless) sufficient to assess risk and advise on remediation
• Advanced proficiency with an enterprise SIEM, including detection authoring, correlation rules, pipeline administration, and tuning to reduce false positives at scale
• Working command of MITRE ATT&CK to map detections to technique coverage, identify telemetry gaps, and design hunts against specific adversary behaviors
• Digital forensics experience across host, network, and memory artifacts, including memory acquisition, disk imaging, and multi-source timeline correlation
• Scripting in Python, PowerShell, or Bash, with production automation, log enrichment, or tooling integrations to show for it

⭐ Desirable Experience

• CSPM/CNAPP or cloud workload protection experience (Wiz, Prisma Cloud, Defender for Cloud, Orca)
• Experience in multi-cloud environments
• Container and Kubernetes security (EKS, AKS, GKE), including runtime threat detection and image scanning
• IaC for cloud guardrails and security configuration (Terraform, CloudFormation)
• SOAR experience (XSOAR, Splunk SOAR, Torq), including playbook development, API integrations, and case management
• Detection-as-code workflows with CI/CD integration and automated rule validation
• Relevant Professional Certifications: GCIH, GCFE, GCIA, GCDA, OSCP, AWS Security Specialty, or GCP Professional Cloud Security Engineer

🎁 Benefits

Gainsight is a place where innovation is shaped through collaboration, curiosity, and a shared focus on solving real-world problems. With a growing suite of products across customer success, product experience, community, education, and AI-powered relationship intelligence, we continue to evolve with the needs of our customers.

🛂 Visa & Eligibility

This role is a remote role based in Mexico.