Senior SRE & Platform Engineer — AI-Driven Reliability

Socotra, Inc.; United States; On-site; USD 200,000 - 230,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Job summary

Domino in the United States is seeking a Site Reliability Engineer to lead the development of AI-assisted reliability tooling and improve observability for critical systems. This role involves owning incident response, guiding the development of observability tools, and mentoring other engineers.

The ideal candidate should have deep experience in Site Reliability Engineering, strong software engineering skills in Python or Go, and fluency in Kubernetes and cloud platforms. The position offers a compensation range of $200,000—$230,000 along with various benefits.

Qualifications

• Deep experience in Site Reliability Engineering or software engineering with operational ownership.
• Fluency with Kubernetes, Linux, cloud platforms, and observability tooling.
• Strong software engineering skills in Python or Go.

Responsibilities

• Lead the development of AI-assisted reliability tooling.
• Improve observability for critical customer-facing systems.
• Own incident response end-to-end.
• Guide development of observability tools within products.
• Define and mature SLO/SLI frameworks.
• Scale cloud operations practices for SaaS offerings.
• Mentor engineers and shape SRE practices.

Skills

Site Reliability Engineering

Kubernetes

Linux

Cloud platforms

Python

Go

Observability tooling

Job description

Domino in the United States is seeking a Site Reliability Engineer to lead the development of AI-assisted reliability tooling and improve observability for critical systems. This role involves owning incident response, guiding the development of observability tools, and mentoring other engineers.

The ideal candidate should have deep experience in Site Reliability Engineering, strong software engineering skills in Python or Go, and fluency in Kubernetes and cloud platforms. The position offers a compensation range of $200,000—$230,000 along with various benefits.