Staff Site Reliability Engineer

Ethoslife; United States; Remote; USD 156,000 - 275,000; Full time

Job summary

Ethoslife is seeking a hands-on staff-level SRE/Infrastructure leader to define technical direction for production reliability across cloud systems and AI initiatives. You will mentor distributed teams, advise product engineers, and drive security, scalability, and cost efficiency through IaC, GitOps, and modern platform practices.

You will lead incident response, define SLOs, and partner with leadership to shape resilient architectures across Kubernetes, AWS, and CI/CD pipelines.

Qualifications

• 10+ years of software engineering experience in SRE, infrastructure, platform, DevOps, or backend roles, including operating production systems at scale.
• Proven track record leading complex, multi-team infrastructure or reliability initiatives and influencing technical direction.
• Strong coding skills in Go, Python, or TypeScript and sound software engineering practices.
• Hands-on experience with AWS, Kubernetes, and Terraform.
• Solid understanding of distributed systems, PostgreSQL, CI/CD, and observability tools.
• Experience with SLI/SLO implementation, incident response, and post-incident reviews.
• Clear communication and judgment balancing reliability, delivery speed, and cost.

Responsibilities

• Define and drive infrastructure, reliability, and platform strategy with engineering leadership; review complex designs and proposals.
• Establish service-level indicators, objectives, error budgets, monitoring, and production readiness with product teams.
• Lead high-severity incident response, blameless reviews, capacity planning, disaster recovery, and failure testing.
• Build and operate cloud infrastructure and platform workflows using infrastructure as code, container orchestration, and GitOps.
• Develop governed AI model gateways, access controls, audit trails, and secure data connections; apply automated security and privacy safeguards.
• Improve cloud and AI workload cost visibility and efficiency, and mentor engineers across distributed teams.

Skills

Go

Python

TypeScript

CI/CD

Observability

Distributed systems

Tools

AWS

Kubernetes

Terraform

PostgreSQL

Job description

Role overview

Set technical direction for production reliability and infrastructure across cloud systems, internal platforms, and tooling that supports AI initiatives. This hands‑on staff‑level role combines building critical systems with leading cross‑team programs, advising product engineers, and improving reliability, security, scalability, and cost efficiency across distributed engineering teams.

Responsibilities

• Define and drive infrastructure, reliability, and platform strategy with engineering leadership; lead complex designs and review technical proposals.
• Establish service‑level indicators, objectives, error budgets, monitoring, and production readiness practices with product teams.
• Lead high‑severity incident response, blameless reviews, capacity planning, disaster recovery, and failure testing.
• Build and operate cloud infrastructure and platform workflows using infrastructure as code, container orchestration, and GitOps.
• Develop governed AI model gateways, access controls, audit trails, and secure data connections; apply automated security and privacy safeguards.
• Improve cloud and AI workload cost visibility and efficiency, and mentor engineers across distributed teams.

Requirements

• 10 or more years of software engineering experience in SRE, infrastructure, platform, DevOps, or backend roles, including operating production systems at scale.
• Track record of leading complex, multi‑team infrastructure or reliability initiatives and influencing technical direction.
• Strong coding skills in Go, Python, or TypeScript and sound software engineering practices.
• Deep hands‑on experience with AWS, Kubernetes, and Terraform.
• Strong understanding of distributed systems, PostgreSQL, CI/CD, and observability tools.
• Practical experience with SLI/SLO implementation, incident response, and effective post‑incident reviews.
• Clear communication skills and sound judgment in balancing reliability, delivery speed, and cost.

Nice to have

• Experience with Kubernetes operators, AI gateways or model routing, governance and privacy scanning, cloud cost optimization, regulated industries or compliance frameworks, and globally distributed teams.

Benefits and work setup

The position is listed as remote in the United States. The stated base salary range is $156,000–$275,000, with final pay dependent on location and qualifications. The listing also references bonus, equity, and benefits, with details provided separately.