Site Reliability Engineer (AI for Accounting)
ScrumAID
New York, NY · Posted November 1, 2026
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Where New York, NY ranks
Where New York, NY placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for operations jobs1,429 openings · of 100
- #1Best cities for sales jobs2,774 openings · of 78
- #1Best cities for finance jobs1,932 openings · of 78
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Rankings about finance jobs
- Best cities for finance jobs #1 New York (1,932 openings)
- Best cities for finance pay after cost of living #1 San Mateo ($162k)
- Most requested AI skills in finance jobs #1 AI tools in daily work (4.3%)
- AI tools named most often in finance jobs #1 Claude (0.55%)
- Employers with the most finance jobs #1 Amazon (475 roles)
Pay compared with the market
This listing does not state pay. Across 63 open site reliability engineer listings that state pay, the middle half runs $122,500 to $171,500 and the median is $147,500.
Listed pay is what employers advertise, not what people are paid.
Site Reliability Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
A well-funded, fast-growing startup whose AI agents carry out complete accounting tasks for large firms is looking for a site reliability engineer to design and run the platform underneath them. The ideal hire writes solid software, reasons from first principles and wants to set the bar for reliability from the start.
What you’ll own
A production-grade, secure platform on AWS with Kubernetes, built to scale and stay up
Networking, compute and storage layers, tuned for uptime, speed and cost
Deployment pipelines, codified infrastructure and automation that makes developers quicker and systems sturdier
Incident response, covering on-call rotation, post-incident reviews, root-cause work, SLOs and error budgets
Coaching colleagues and defining how the infrastructure team works
What you bring
Five to eight years running large-scale production systems, with a real SRE, DevOps or platform background rather than an ML one
Practical depth in Kubernetes and AWS, and fluency in Terraform or similar
Strong software fundamentals, including Python
Strong command of cloud, networking, data stores and security
A degree is required, and startup experience is preferred
On-site in New York, NY, five days a week, without relocation support. Visa transfers are considered.