Software Engineer (Infra)

About the role

About Numeral:

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Numeral is transforming how taxes get done. Digital businesses are currently bogged down by a painful web of regulations across 47 states and 50+ countries. We’re eliminating this burden so teams can focus on their core mission.

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We’re the largest and fastest growing AI-native tax solution. Started in 2023, Numeral has raised over $57M from Benchmark, Mayfield, Y-Combinator, and many others. We now serve over 2,500 paying customers and have more than tripled our revenue every year in our history.

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We’re primarily hiring in our SF and NY offices, but do hire remotely in some cases

About the role:

We’re looking for a foundational Software Engineer (Infrastructure) who thrives on solving complex distributed systems problems at scale. You’ll design and build core infrastructure , improve service reliability and observability , and ensure the platform’s scalability as we handle increasing transaction volumes and integrations.

This is a high-leverage, foundational role: your work will define the architecture and technical direction of our infrastructure platform while directly impacting our customers’ experience and the company’s trajectory.

What you’ll do:

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Design and build highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.

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Lead infrastructure architecture decisions for performance, observability, and fault tolerance.

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Drive improvements in system reliability, monitoring, and incident response.

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Collaborate closely with product, platform, and data engineering teams to enable rapid feature development without compromising stability.

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Automate infrastructure management through infrastructure-as-code , CI/CD pipelines, and container orchestration.

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Champion best practices in operational excellence, disaster recovery, and distributed systems design.

What you’ll bring:

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7+ years of experience building and scaling backend or infrastructure systems in high-growth environments.

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Proficiency in Node.js, PostgreSQL, Redis, and AWS (or equivalent cloud platforms).

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Experience managing containerized workloads using tools like Kubernetes, ECS, or similar.

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Expertise in observability tooling (e.g., Datadog, Prometheus, OpenTelemetry) and monitoring pipelines.

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Proven ability to design fault-tolerant, distributed systems at scale.

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Strong debugging and performance optimization skills across the stack.

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Exceptional collaboration and communication skills, with experience partnering cross-functionally.

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Startup mindset: Not scared of ambiguity and hungry for rapid growth