Senior System Information Engineer

Key Responsibilities

• System Governance & Architecture
• Build system frameworks and policies (access, compliance, lifecycle)
• Ensure integration and governance across the SaaS stack
• Evaluate AI tools for monitoring and anomaly detection


• Administration & Monitoring
• Manage core SaaS platforms (Okta, Google Workspace, etc.)
• Oversee endpoint security tools and system monitoring
• Administer key business systems (Salesforce, NetSuite)
• Implement AIOps for smarter alerting and troubleshooting


• Security & Data Governance
• Own IAM, SSO, and access control frameworks
• Apply security standards (Zero Trust, SOC 2)
• Support audits and use AI for threat detection and response


• Automation & Efficiency
• Automate provisioning, monitoring, and reporting (Python, Bash)
• Build low-code/AI workflows to reduce manual work
• Support system consolidation and governance at scale


• Collaboration & Leadership
• Act as a systems advisor on IT architecture and automation
• Partner with teams across engineering and security
• Provide advanced support and mentor junior admins
• Promote AI literacy and experimentation within the team

Requirements:

• 6+ years of experience in systems administration, IT infrastructure, or MIS governance roles.
• Proven expertise in SaaS administration and enterprise IT ecosystems.
• Strong background in security frameworks, IAM, and data governance.
• Hands-on experience with device management systems (Jamf, JumpCloud or others) and SaaS ecosystems (Okta, Google Workspace, Office365, Atlassian, Slack).
• Strong experience in building integrations and data flows using iPaaS solutions such as Zapier, Workato or Mulesoft
• Demonstrated ability to contribute to systems designs, implement and enforce governance frameworks.
• Proficiency in building Bash and Python scripts to automate administrative tasks, accelerate execution, and enforce governance.
• Strong knowledge of system monitoring and performance optimization tools.
• Advantage - Experience managing CRM and ERP systems (Salesforce, NetSuite, etc.) including governance, administration, and integrations.
• Strong knowledge of project management and cross-functional system implementation.
• Familiarity with AI/ML-driven IT tools (e.g., AIOps platforms, AI monitoring, anomaly detection, automated remediation systems).
• Experience with prompt engineering and the ability to evaluate/apply generative AI copilots for IT automation and support.
• Familiarity with compliance standards such as SOC 2, ISO 27001, SOX, or GDPR.
• Experience with Zero Trust security models (ZTNA, ZScaler, Umbrella).
• Knowledge of network administration (firewalls, VPNs, switches, routers).
• Certifications or coursework in AI for IT Operations, cloud automation

What Success Looks Like

• A unified MIS system governance framework is operational and adopted across teams.
• Systems are secure, monitored, automated, augmented by AI-driven insights, reducing risk and manual overhead.
• MIS Engineering and other business stakeholders see frictionless onboarding of new systems with strong governance controls.
• The MIS team is empowered with frameworks, tools, and processes that improve efficiency, automation, and compliance.
• AI/ML adoption is thoughtfully applied to IT operations, improving predictability, resilience, and business alignment.