Arpio is building the next generation of disaster recovery for the cloud. As a Senior Software Engineer, you'll design and build systems that replicate live cloud environments and ensure application resilience during outages and attacks, contributing to a fully-managed SaaS platform.
Responsibilities:
- Design, build, and operate core platform services that replicate and recover complex cloud environments with speed and precision
- Develop and extend Arpio's application-aware orchestration engine, mapping dependencies and recovering entire application stacks
- Work directly against cloud provider APIs (AWS and Azure today), building robust abstractions that absorb their differences and edge cases
- Build for failure: design systems that behave correctly during outages and degraded conditions, since that's exactly when our customers rely on them
- Own features end to end, from design and implementation through testing, deployment, monitoring, and support
- Contribute to the reliability, scalability, and security of a fully-managed SaaS platform that protects enterprise production workloads
- Raise the engineering bar through thoughtful code review, technical design discussions, and mentorship of other engineers
Requirements:
- 5+ years of professional software engineering experience, with a track record of shipping and operating production systems
- Hands-on experience building on at least one major cloud provider (AWS or Azure preferred; GCP, Oracle, or others welcome)
- Strong fundamentals in distributed systems, concurrency, and the realities of operating software at scale
- A pragmatic, well-tested approach to writing code. Our stack is Python and Angular; deep experience in either is a plus, but we expect strong engineers to ramp on a new language or framework quickly
- Comfort working close to infrastructure: APIs, networking, and the operational behavior of cloud services, not just application logic on top of them
- Strong written and verbal communication; you can explain a tricky design clearly and disagree productively