# Sr. Staff Site Reliability Engineer (R5803)

**Company**: Shield AI
**Location**: San Diego, California
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: USD 183,000-275,000 per-year-salary
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/fea7a624-ed27-4d31-9c98-276b42372c54?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_02f33ab6-52b

## Description

Shield AI is seeking an experienced SRE lead to help drive the establishment of its SRE function. As the SRE Lead, you will establish and mature the reliability practices used across cloud infrastructure and platform services.

You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably. This is a deeply technical, hands-on role.

Responsibilities:

- Define and implement SLIs, SLOs, and other measures of service reliability

- Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services

- Lead technical response to complex incidents and drive root-cause analysis through resolution

- Identify recurring failure modes and work with engineering teams to eliminate them

- Improve system resilience through automation, testing, capacity planning, and failure recovery

- Develop tooling and automation that reduces manual operational work

- Partner with product and platform teams to incorporate reliability requirements into system design

- Establish incident response practices that improve detection, diagnosis, communication, and recovery

- Mentor product engineers and drive adoption of strong reliability and operational practices

- Mentor teammates in SRE and Cloud Engineering

- Define and manage short-and-long term SRE roadmap, distributing work across teammates

Requirements:

- 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields

- Experience operating production services with defined availability and reliability requirements

- Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices

- Experience designing and operating infrastructure in AWS or another major cloud environment

- Experience with infrastructure-as-code and automated infrastructure provisioning

- Experience supporting containerized applications and distributed systems

- Experience developing operational tooling or automation using Python, Go, or a similar language

- Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services

- Experience leading incident response and root-cause analysis across engineering teams

- Experience leading and executing on technical vision of a team over multi-quarter timelines

Preferred Qualifications:

- Experience establishing or maturing an SRE function within an engineering organization

- Experience with Kubernetes and cloud-native observability systems

- Experience operating systems in regulated or compliance-driven environments

- Experience with capacity planning, performance analysis, and cloud cost management

- Background supporting shared infrastructure across multiple products or engineering organizations

- Experience with building roadmaps in ticketing systems

- Experience acting as a mentor for other engineers

## Skills

### Required
- SRE
- software engineering
- infrastructure engineering
- AWS
- cloud environment
- infrastructure-as-code
- automated infrastructure provisioning
- containerized applications
- distributed systems
- Python
- Go
- incident response
- root-cause analysis

### Nice to have
- Kubernetes
- cloud-native observability systems
- capacity planning
- performance analysis
- cloud cost management

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/fea7a624-ed27-4d31-9c98-276b42372c54?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)