Infrastructure Security Engineer Jobs in Texas (NOW HIRING)

Job Summary:
Sonar is driving the future of agent-centric software development, focusing on AI code review and verification. The Infrastructure Security Engineer will be responsible for designing, implementing, and operating security controls and automation across identity platforms and core IT services, ensuring robust security measures are integrated into operations.
Responsibilities:
• Be a pivotal engineering contributor to the design, implementation, and operation of security controls and automation across our identity platforms, endpoints, and core IT services.
• Own key parts of our IdP and access automation stack (e.g., SSO, SCIM, group‑based access, JIT access), ensuring that users get the right access at the right time with strong controls and auditability.
• Design and maintain security monitoring, alerting, and SIEM integrations that give us real‑time visibility into identity, endpoint, and SaaS risks.
• Partner with IT Ops, Information Security, and Infrastructure Engineering to ensure security controls are deeply integrated into operations (incident management, change, and problem processes), not bolted on.
• Use and champion AI tooling to make security operations more efficient — from alert triage and runbook execution to knowledge retrieval and reporting.
• Help define and improve how we measure the reliability and effectiveness of our security controls (SLIs/SLOs, error budgets, and dashboards), making risk and performance visible and actionable to stakeholders.
• Security Monitoring, Alerting & SIEM Ownership: Working with the Information Security team, design, implement, and maintain alerting rules, dashboards, and runbooks across our SIEM and logging platforms, with a focus on identity, access, and SaaS security signals. Continuously tune alerts to reduce noise, improve fidelity, and align with error budgets and SLOs for critical security and identity services.
• Endpoint Defense In Depth: Architect and implement our multilayer endpoint defence systems (e.g. Crowdstrike, Cyberark, Cloudflare, secure browser policies), balancing risk against usability in coordination with the Information Security team.
• Identity Platform & Access Automation: Build and maintain automation for our identity platforms (e.g., SSO, SCIM provisioning, group‑based access policies, lifecycle workflows) in partnership with Information Security. Implement guardrails and policy‑as‑code for identity, ensuring changes are reviewed, tested, and auditable before reaching production.
• Infrastructure as Code & Security Controls as Code: Use IaC and configuration management (e.g., Terraform, Ansible, or similar) plus scripting languages (e.g., Python, Go) to deploy and manage security tooling, integrations, and policies. Treat security controls (e.g., logging, scanning, hardening, secret management) as software artifacts that can be versioned, tested, and rolled back safely.
• Observability & Integration with Core IT Operations: Ensure that logging, metrics, and tracing for security‑relevant systems (IdP, VPN, endpoint protection, critical SaaS) are robust, accurate, and integrated into our observability stack. Integrate security events and automations with ITSM and incident management workflows, enabling fast routing, triage, and resolution.
• Incident Response & Post‑Incident Engineering: Participate in the on‑call rotation for relevant security and identity services. Lead or contribute to post‑incident reviews, turning root causes into preventative engineering changes (new alerts, automations, guardrails, or documentation) that reduce MTTR and recurrence.
• AI‑Enabled Security Operations: Use AI tooling (e.g., LLM‑based assistants, automation platforms) to accelerate alert triage, enrichment, and investigation, while keeping humans in control of decisions. Identify opportunities to embed AI in security and IT operations workflows (e.g., threat intelligence and alert correlation) and help implement these safely and effectively.
Qualifications:
Required:
• Significant hands‑on experience (4–7 years) in security engineering, security operations, or closely related roles in modern, fast‑paced environments (e.g., SaaS, enterprise IT, cloud‑native infrastructure).
• Practical experience operating IdPs and IAM systems at scale (e.g., Okta, Azure AD, or similar), including SSO, MFA, lifecycle management, and least‑privilege policies.
• Experience designing and implementing automated provisioning and deprovisioning (e.g., SCIM, HRIS integrations, group‑based and role‑based access models).
• Proven experience with SIEM and observability platforms (e.g., ELK/EFK, Splunk, Datadog, or similar), including writing and tuning detection rules, building dashboards, and working with large‑scale log ingestion.
• Comfort working with SLIs/SLOs and error budgets for critical services, and using these to guide priorities for hardening and automation.
• Strong experience with IaC and configuration management tools (e.g., Terraform, CloudFormation, Ansible, or similar) and with scripting/programming languages (e.g., Python, Go, or equivalent) to automate security and operational tasks.
• Track record of converting manual, repetitive operational work into reliable automation and self‑service capabilities.
• Experience implementing and operating security controls as code: vulnerability scanning, configuration baselines, secret management (e.g., HashiCorp Vault), key rotation, and certificate management.
• Demonstrated experience participating in or leading incident response, root cause analysis, and post‑incident follow‑through in partnership with IT Ops, Security, and Engineering.
• Strong communication skills in English, able to explain complex security and operational topics to both technical and non‑technical audiences.
• Comfortable using modern AI tooling (e.g., LLM‑based assistants, automation frameworks) as part of daily work for analysis, content generation, and workflow automation.
• Ability to reason about where AI is and isn’t appropriate in security and operations, balancing speed with risk and control.
Company:
Sonar is the trust & verification layer for AI and agentic coding, and the industry standard for automated code review. Founded in 2008, the company is headquartered in Vernier, CHE, with a team of 501-1000 employees. The company is currently Late Stage.