Senior Software Engineer (Corporate Engineering)

Join Aurora's Corporate Engineering team as a Senior Software Engineer. You'll own a portfolio of SaaS platforms, understand their purpose and usage, and eliminate recurring support requests through automation and process redesign. You'll also design and automate identity and lifecycle workflows, lead platform lifecycle management, and drive the adoption of AI tools in the enterprise.

• Assumer la responsabilité d'un portefeuille de plateformes SaaS de bout en bout, en comprenant leur utilisation, leur intégration et leur évolution.
• Identifier et éliminer les demandes récurrentes en automatisant les processus, en redéfinissant les workflows ou en mettant en place des outils d'auto-assistance.
• Diriger le cycle de vie des plateformes, évaluer et piloter de nouveaux outils, et définir la stratégie de construction ou d'achat.
• Proven ability to take architectural ownership of a platform you didn't previously know: rapidly building a mental model of its purpose, use cases, data flows, and integration points. We care more about this adaptability than about experience with our exact stack
• 6+ years across software engineering, systems engineering, or platform engineering, with substantial time spent building automation and integrations for enterprise/SaaS ecosystems
• A demonstrated track record of eliminating manual work at scale — you can point to categories of requests or processes you made permanently disappear, not just tasks you completed
• Deep, hands-on experience integrating SaaS platforms via APIs, webhooks, and event-driven patterns, including identity and lifecycle automation (SSO, SCIM, Okta or similar)
• Proven ability to partner across teams and with senior leadership spanning IT, Software, Operations/Services, and Security
• Strong software engineering fundamentals: proficiency in at least one language (Python, TypeScript/JavaScript), working in version control with code review, and owning automations or services that run in production
• Systems thinking across an application ecosystem — you reason about how tools connect, where data and identity flow, and what the second-order effects of a change are
• Hands-on depth in our current stack: Google Workspace, Slack, incident management platforms (FireHydrant, OpsGenie, PagerDuty), Atlassian tools, or integration platforms like Workato
• Experience building LLM-powered or agentic automation (Claude, MCP, agent frameworks) for internal workflows
• Infrastructure as Code (e.g., Terraform), CI/CD pipelines, and hands-on experience with a major cloud platform (AWS, GCP)
• Experience with SaaS license management, usage analytics, and cost governance
• Experience building reusable automation frameworks and self-service tooling used by other teams