Job Description
The role involves leading and managing a team of systems engineers and administrators to develop and maintain a secure, scalable SaaS ecosystem, drive enterprise AI initiatives, and implement automation and integrations across various enterprise applications to enhance operational efficiency at Aurora.
Key Responsibilities
- Manage and provide technical leadership to the Corporate Engineering team of systems engineers and system administrators.
- Architect and oversee a secure, scalable SaaS ecosystem including applications like Jira, Confluence, Slack, Google Workspace, and incident management platforms.
- Develop and execute long-term strategies and roadmaps for enterprise tooling and automation to improve incident management, knowledge management, project management, analytics, and communication.
- Lead the design and implementation of automation workflows and integrations using APIs, webhooks, and integration platforms.
- Provide technical guidance on system architecture, complex integrations, and automation projects.
- Partner with stakeholders across Security, IT, and Engineering to gather requirements and deliver solutions.
- Champion best practices for application governance, security, and data management.
- Lead the strategy and implementation of enterprise AI solutions and productivity tools.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- At least 8 years of experience in IT, software engineering, or systems engineering.
- A minimum of 3 years of experience in leading engineering teams in delivering complex, large-scale enterprise applications or platform services.
- Deep, hands-on experience administering and integrating a suite of modern SaaS applications such as Atlassian suite, Google Workspace, Slack, and incident management platforms.
- Strong proficiency in a scripting language such as Python or JavaScript.
- Extensive experience with APIs, webhooks, and integration platforms.
- Experience in implementing and leveraging AI solutions.
- Strong understanding of APIs, integrations, and cloud-native architectures.
- Strong communication and presentation skills.
Benefits & Perks
Base salary range of $181,000 - $290,000
Annual bonus
Equity compensation
Hybrid work environment with in-office presence at least 3 days per week
Benefits (unspecified but included in compensation package)
Ready to Apply?
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