Senior IT and Enterprise Application Engineer

About the role:

As a Senior IT and Enterprise Application Engineer at Enfuce, you’ll take ownership of the administration and continuous improvement of our enterprise application ecosystem and AI tooling. This is a senior individual contributor role with broad scope. You’ll set the direction for how our platforms are configured and governed, while acting as the go-to technical expert for the tools our teams depend on.

You’ll own the architecture and administration of platforms including Google Workspace, Jira, Confluence, Salesforce and our MDM solution alongside championing the governance and adoption of AI productivity tooling across the company. You’ll work closely with senior stakeholders and department leads to align platform capabilities with business needs, drive automation at scale and ensure our application portfolio is secure, well-governed and fit for growth.

What you'll be doing:

IT Operations & Service Delivery:

• Lead IT support operations, setting quality standards for the resolution of SaaS issues and ensuring a consistently high level of service for all employees.

• Own the helpdesk function in Jira Service Management, defining ticket workflows, SLA targets and escalation paths to drive efficient resolution and measurable service improvement.

• Design, own and continuously improve onboarding and off-boarding processes, ensuring seamless provisioning and deprovisioning of accounts, devices and access across all platforms.

• Drive a culture of continuous improvement, proactively identifying and delivering automation initiatives that eliminate toil and improve the experience for employees and IT alike.

Enterprise Application Engineering:

• Lead the architecture and administration of Google Workspace, including advanced configuration of security policies, third-party integrations, data retention and access controls.

• Own the Atlassian platform and administration, including the design of project structures, permission models, custom workflows and automation rules across Jira and Confluence to support scalable ways of working.

• Act as the primary Salesforce administrator and internal subject matter expert, owning instance configuration, data integrity, user management and working with business stakeholders to translate requirements into effective platform solutions.

• Lead the framework for AI productivity tooling (such as Claude, Windsurf, and Codex), owning the evaluation, onboarding, policy enforcement and ongoing review of AI tools to ensure effective and responsible use across the business.

• Architect and deliver workflow automation and application integration solutions, connecting platforms to eliminate manual handoffs and enable data-driven operations across teams.

• Own the MDM platform strategy and administration, defining configuration profiles, compliance baselines and device management policies across Mac and Windows endpoints.

• Own the end-to-end laptop patching lifecycle, defining patching policy, managing deployment cadences and reporting on endpoint compliance to ensure the fleet remains secure and consistently up to date.

• Own and maintain a platform roadmap for the enterprise application portfolio, working with senior stakeholders and department leads to prioritise capability improvements, migrations and new tooling evaluations in line with business strategy.

• Provide technical leadership and mentoring within the IT team, acting as a senior point of escalation, sharing expertise across platforms and helping to raise the overall capability of the team.

• Ensure the enterprise application portfolio remains compliant with Enfuce’s security policies and relevant regulatory requirements (including ISO 27001, PCI DSS, and DORA), working closely with the Information Security and Compliance team on audits, assessments and evidence gathering.

What you'll bring:

• Proven, deep experience administering multiple enterprise SaaS platforms such as Google Workspace, Jira, Confluence or Salesforce in a senior or lead capacity.

• Strong understanding of cloud-based application architecture, SSO, identity and access management, with experience designing and enforcing access policies at scale.

• Demonstrated experience evaluating, deploying and governing AI productivity tooling, with a clear understanding of the risks and responsibilities that come with enterprise