Senior System Engineer

We are seeking an experienced Senior MIS System Engineer to join our growing MIS group. This role is critical in shaping the governance, administration, lifecycle management, and AI-driven efficiency of our business systems and IT services.
The ideal candidate will be a hands-on systems leader with deep expertise in system management frameworks, automation, security, monitoring, and a forward-looking approach to leveraging AI/ML for IT operations (AIOps), automation, and governance. This individual will collaborate closely with MIS Engineering and cross-functional stakeholders to ensure consistent onboarding, integration, compliance, and scalability of systems, while also evaluating and applying AI-driven insights to drive both operational excellence and business impact.
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:
5–8 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.