Senior Software Engineer, Corporate Engineering

Job description

Job responsibilities

• Own platforms at the architectural level. For each platform in your portfolio, be the person who can answer: what is this for, what are the use cases, how do users actually interact with it, how does identity and…
• Engineer away toil. Treat recurring requests as bugs. Categorize inbound work, find the systemic cause, and eliminate it — through automation against platform APIs, workflow redesign, self-service tooling, or AI agents…
• Design and automate identity and lifecycle workflows — onboarding, offboarding, role changes — across the enterprise ecosystem using APIs, webhooks, SCIM, and IAM tooling (Okta, SSO) and integration platforms (e.g.,…
• Lead platform lifecycle end-to-end as our stack evolves: assess and pilot new tools, drive phased rollouts and integrations, govern configuration, and deprecate what we outgrow.
• Put AI to work in the enterprise. Drive adoption of Enterprise AI tooling (Claude and similar) and build agentic automation into support and business workflows — partnering with Security to do it safely.
• Serve as the escalation point for the hardest problems on these platforms — with the standing goal that the same problem never needs escalating twice.

Job requirements

• 6+ years across software engineering, systems engineering, or platform engineering, with substantial time spent building automation and integrations for enterprise/SaaS ecosystems.
• 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.
• 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 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.
• 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.
• Proven ability to partner across teams and with senior leadership spanning IT, Software, Operations/Services, and Security.
• Hands-on depth in our current stack: Google Workspace, Slack, incident management platforms (FireHydrant, OpsGenie, PagerDuty), Atlassian tools, or integration platforms like Workato.