Staff Software Engineer, Deployment Platform

• — Terraform or equivalent — particularly in the context of cloud resource governance and IAM management in AWS or Azure.
• Developer platform or internal tooling background: a strong developer experience sensibility and the ability to build abstractions that reduce toil for the engineering teams that depend on your platform.
• Change management and feature rollout systems: experience with feature flags, configuration distribution, or audit-log infrastructure that provides safety guardrails around production changes.
• Familiarity with service mesh concepts (canary deployments, weighted routing, traffic-splitting) sufficient to collaborate effectively with partner teams on routing capabilities that enable advanced deployment patterns.

In-Office Expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

• 10+ years of professional software engineering experience, with a demonstrated track record of designing and shipping production infrastructure systems of significant scale and complexity.
• Proven ability to lead large, ambiguous infrastructure projects end-to-end — from technical design through delivery — including managing cross-team dependencies and coordinating migrations across many consuming teams.
• Deep expertise in distributed systems and deployment orchestration: strong foundations in how services are built, scheduled, and operated at scale, including rollout strategies, staged delivery, and failure modes.
• Hands-on experience with Kubernetes and container-based deployments, including service lifecycle management, workload scheduling, and the operational challenges of migrating large fleets from VM-based to containerized infrastructure.
• Strong background in service reliability and operational excellence: demonstrated ability to lead incident response, reduce toil, and build systems that are reliable, debuggable, and maintainable by a team.
• Track record of broad technical impact across multiple large systems: fluency across a complex codebase, force-multiplier effect through code review and mentorship, and the ability to set technical direction for a team rather than just execute within it.
• Background in deployment safety systems: anomaly detection, automated rollback, progressive delivery, or similar mechanisms that reduce the blast radius of bad deployments.
• Familiarity with event-driven architectures (Kafka or equivalent) applied to deployment lifecycle observability and notification.