Site Reliability Engineer

Berkley Hunt has partnered with a high-growth fintech company to hire a Site Reliability Engineer to help build, operate, and scale a globally distributed, highly available cloud platform. This role focuses on reliability, automation, and operational excellence, working closely with engineering teams to ensure systems are resilient, scalable, and production-ready from day one.

• You think in systems, not silos, you naturally connect infrastructure decisions to customer experience and business impact.
• You have strong experience running production environments at scale and understand what “good” looks like in terms of uptime, latency, and reliability.
• You’re confident operating Kubernetes in real-world production settings, not just deploying to it.
• You have a solid background in cloud architecture across AWS and GCP, and understand the trade-offs of distributed systems.
• You are proactive about identifying risk and eliminating single points of failure before they become incidents.
• You are comfortable working in fast-paced environments where priorities evolve and ownership is shared.
• You believe infrastructure should be repeatable, observable, and continuously improving.

• Architect and evolve cloud infrastructure to support a secure, highly available, and globally distributed fintech platform.
• Embed reliability best practices into the development lifecycle, influencing design decisions before code reaches production.
• Drive improvements in deployment workflows through Git Ops and Infrastructure-as-Code methodologies.
• Enhance system visibility by building robust monitoring, logging, and alerting frameworks.
• Lead incident response efforts, conduct post-incident reviews, and implement preventative measures to strengthen platform resilience.
• Continuously refine Kubernetes environments to improve performance, scalability, and operational efficiency.
• Partner cross-functionally with engineering and product teams to balance speed of delivery with operational stability.
• Reduce operational toil by identifying automation opportunities and improving internal tooling.