Member of Technical Staff - SRE

Basis builds real agents that do real work in the real economy. Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world.

We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale.

Our investors include: Khosla Ventures (Keith Rabois & Vinod Khosla), Accel (Miles Clements), Google Ventures, Nat Friedman & Daniel Gross, Adam D'Angelo, Jeff Dean, Jack Altman, Noam Brown, Kyle Vogt, Amjad Masad, Clem Delangue and many other operators/technical leaders.

"Basis is on the frontier of building production-grade, long-horizon agents. They've pushed the limits of what we thought our models could do on real-world, economically valuable, complex accounting tasks. They've been a great collaborator in helping us shape what the future of agents looks like." — Prashant Mital, Applied AI Lead, OpenAI

As a Site Reliability Engineer at Basis, you will ensure the reliability, scalability, and performance of our AI-powered accounting platform. You’ll join a high-leverage infrastructure team that sits at the intersection of product and platform, owning the systems that keep Basis fast, secure, and always on as we scale.

This is a hands-on role for an engineer who loves building robust systems, reducing complexity through automation, and taking real ownership. While your primary focus will be infrastructure and reliability, strong software engineering skills are essential. As a growing startup, we value engineers who are comfortable wearing multiple hats and jumping in wherever they can have the biggest impact.

If you’re excited about building resilient systems from the ground up and shaping reliability practices at a fast-growing company, we’d love to work with you.

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  Architect, build, and operate reliable, scalable, and secure infrastructure for our production systems.

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  Own cloud infrastructure across compute, storage, and networking, optimizing for availability, performance, and cost efficiency.

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  Design and maintain CI/CD pipelines, infrastructure-as-code, and automation to improve developer velocity and system reliability.

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  Lead incident response efforts, including on-call rotations, incident coordination, postmortems, and root cause analyses.

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  Partner closely with product and engineering teams to balance reliability, performance, cost, and speed of development.

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  Automate operational workflows such as capacity planning, safe rollouts, graceful degradation, and data access controls.

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  Provide technical leadership and mentorship, helping shape the culture and standards of the infrastructure team.

• Infrastructure-as-Code tools such as Terraform or CloudFormation.

• Observability and incident management tools (e.g., OpenTelemetry, Prometheus/Grafana, BetterStack, PagerDuty, SLOs/error budgets).

• Data and systems powering analytics and customer-facing workloads, especially in serverless environments. (e.g., Neon, Modal)

We believe that as agents become more capable, two themes are emerging:

• Coding agents provide the ability to move across domains in ways that weren't possible before

• You can offload more decision making to the agents inside your product meaning the lines between ML work and eng work start to disappear.

• Approx 20% of product engineering at Basis is teaching agents to tackle non-deterministic workflows. We see that being 70% by end of year.

The distinctions between frontend vs. backend, infra vs. product, ml vs. eng are already melting away.