Technical Support Engineering Manager

Cyera Cyera · Vertical AI · St. Louis, MO · Customer Success

Seeking a Technical Support Engineering Manager to lead a team of highly technical support engineers responsible for diagnosing, troubleshooting, and resolving complex product issues across cloud, data, and security environments. This role requires hands-on engineering experience, understanding of distributed systems and cloud-native architectures, and the ability to partner closely with Engineering to drive root-cause resolution and improve product quality.

What you'd actually do

  1. Lead a team of Technical Support Engineers handling advanced troubleshooting across cloud environments (AWS/Azure/GCP), APIs, data pipelines, and enterprise integrations.
  2. Serve as the highest-level escalation point for complex technical cases.
  3. Drive root-cause analysis (RCA) for critical incidents and systemic product issues.
  4. Partner with Engineering on bug triage, defect prioritization, and long-term fixes.
  5. Establish technical standards for case handling, diagnostics, and escalation workflows.

Skills

Required

  • Technical leadership
  • Cloud platforms (AWS/Azure/GCP)
  • Distributed systems
  • SaaS architectures
  • APIs (REST)
  • Authentication (SSO, OAuth, SAML)
  • Logging and monitoring tools
  • Data stores (SQL/NoSQL)
  • Data pipelines
  • Log analysis
  • Production issue debugging
  • Systemic pattern identification
  • Collaboration with software development teams
  • Team leadership/mentoring
  • Root-cause analysis
  • Bug triage
  • Technical documentation
  • Process improvement
  • KPI definition and tracking
  • Technical training program development
  • Systems thinking
  • Structured problem-solving
  • Data-driven decision-making

Nice to have

  • Cybersecurity domain experience
  • Data security domain experience
  • Containerization (Docker/Kubernetes)
  • Scripting (Python, Bash, etc.)
  • High-growth SaaS environments experience
  • Lab environment building/management

What the JD emphasized

  • highly technical
  • engineering-driven
  • complex product issues
  • cloud, data, and security environments
  • hands-on engineering experience
  • distributed systems and cloud-native architectures
  • read logs, interpret stack traces, and analyze system behavior
  • working alongside R&D to drive root-cause resolution
  • technical credibility with enterprise security and infrastructure teams
  • raising the technical bar
  • operational excellence
  • customer trust
  • cross-functional alignment
  • advanced troubleshooting
  • highest-level escalation point
  • critical incidents and systemic product issues
  • bug triage, defect prioritization, and long-term fixes
  • technical standards
  • technical enablement
  • recurring issues
  • architectural or product improvements
  • bridge between Support and Engineering
  • voice of customer impact
  • patterns in technical cases
  • proactively escalate product gaps
  • improve documentation and reduce ticket volume
  • time-to-diagnosis and time-to-resolution
  • technical KPIs
  • structured RCA processes and post-incident reviews
  • technical training programs
  • elevate team capability
  • bug-a-thons
  • systemic issue reduction
  • Recruit, mentor, and develop highly technical support engineers
  • technical career paths
  • ownership, analytical rigor, and continuous improvement
  • engineering-level thinking
  • reactive ticket handling
  • Bachelor’s degree in Computer Science, Engineering, or equivalent technical experience.
  • 5+ years in a technical support, support engineering, DevOps, SRE, or software engineering role.
  • 2+ years leading or mentoring technical teams.
  • Strong understanding of: Cloud platforms (AWS/Azure/GCP), Distributed systems and SaaS architectures, APIs (REST), authentication (SSO, OAuth, SAML), Logging and monitoring tools, Data stores (SQL/NoSQL) and data pipelines
  • Ability to analyze logs, debug production issues, and identify systemic patterns.
  • Experience collaborating directly with software development teams.
  • Experience in cybersecurity or data security domains.
  • Familiarity with containerization (Docker/Kubernetes).
  • Scripting experience (Python, Bash, etc.).
  • Experience in high-growth SaaS environments.
  • Experience building or managing lab environments for technical validation.
  • Technical credibility with enterprise IT and security stakeholders.
  • Strong systems thinking and structured problem-solving.
  • Ability to balance operational responsiveness with long-term product improvement.
  • Data-driven decision-making.
  • Comfort operating in ambiguity and scaling processes in a high-growth environment.