Duties and Responsibilities
Technical Leadership & Strategy
Set Direction: Define and drive the multi-quarter technical strategy for reliability, infrastructure, and platform tooling, in partnership with SRE and engineering leadership and aligned with company OKRs.
Architecture: Lead the design of complex, cross-cutting infrastructure systems. Author and review technical specifications and architecture proposals to ensure consistency, resilience, and long-term maintainability.
Influence Without Authority: Motivate product engineering teams to adopt reliability best practices, and act as a trusted advisor on production readiness when new services are designed and brought online.
Mentorship: Grow the technical skills of SREs across our US and Bangalore teams through design reviews, pairing, and code review, and help raise the hiring bar by participating in interviews.
Reliability & Performance Engineering
Service Standards: Establish the framework for how teams define, measure, and act on SLIs, SLOs, and error budgets. Help teams instrument and monitor them.
Incident Excellence: Serve as a senior technical leader during high-severity incidents. Drive a culture of rigorous, blameless post-mortems and ensure follow-up work actually reduces recurrence.
Resilience: Lead capacity planning, disaster recovery, and failure-mode testing so our systems degrade gracefully and recover quickly.
Observability: Evolve our monitoring and alerting strategy so failures are detected before they impact customers and on-call is sustainable.
Infrastructure & AI Platform Tooling
Scalable Systems: Design, build, and operate our AWS cloud infrastructure using Infrastructure as Code (Terraform), Kubernetes, and GitOps workflows (ArgoCD, Atlantis).
AI Gateway & Governance: Architect and build governed gateways for AI model routing, including model access controls, audit trails, and secure data connectors (such as MCP) that prevent sensitive data exposure.
Security & Compliance: Ensure infrastructure, including AI prototyping environments, meets security and regulatory requirements through automated scanning, PII guardrails, and scoped data access.
Efficiency & Cost Optimization
FinOps: Lead initiatives to optimize cloud spend across the organization, including right-sizing, spot instance utilization, and cost attribution.
AI Cost Management: Design metering and budgeting for LLM token usage, and build cost-aware routing so workloads use the most efficient model for the job.
Visibility: Establish clear cost metrics and partner with engineering teams on architectures that are both performant and cost-effective.
Developer Productivity
Paved Roads: Build internal tools, CI/CD pipelines, and self-service platforms that make the reliable path the easy path for product engineering teams.
Toil Elimination: Identify systemic sources of toil across engineering and automate them away.
Qualifications and Skills
Experience: 10+ years of full-time software engineering experience in relevant roles (SRE, Infrastructure, Platform, DevOps, or Backend SWE), including significant time operating production systems at scale.
Staff-Level Impact: A track record of leading complex, multi-team infrastructure or reliability initiatives from ambiguity to delivery, and of influencing technical direction beyond your immediate team.
Software Engineering: Strong coding skills in Golang, Python, or TypeScript, and a commitment to engineering best practices: design patterns, code reviews, and testing.
Cloud & Platform Expertise: Deep, hands-on experience with AWS, Kubernetes, and Terraform. Experience building Kubernetes operators is a plus.
Systems Knowledge: Strong understanding of distributed systems, PostgreSQL, CI/CD systems, and observability tooling such as DataDog.
Reliability Practice: Hands-on experience implementing SLIs/SLOs, leading incident response, and running effective post-mortems.
Communication: Excellent written and verbal communication. You can write a clear design doc, explain trade-offs to executives, and build consensus across teams.
Mindset: A strong desire to remove toil from systems, and the judgment to balance reliability, velocity, and cost.
Nice to Have
Experience building or operating LLM toolchains, such as AI gateways, model routing (e.g., Bedrock, Anthropic), and governance frameworks, including PII scanning and audit trails for model interactions.
Demonstrated experience leading cloud cost optimization or building usage metering systems.
Experience in regulated industries (insurance, fintech, healthcare) or with compliance frameworks such as SOC 2.
Experience collaborating with globally distributed teams.
Our Tech Stack
Languages: TypeScript, Golang, Python
Infrastructure: AWS, Kubernetes, Terraform, ArgoCD, Atlantis
Observability & Tools: DataDog, GitHub Actions, PostgreSQL
AI Platform: Anthropic, Bedrock, MCP
#LI-Remote #LI-MK1
The US national base salary range for this full-time position is $156,000 - $275,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.
You can find further details of our US benefits at https://www.ethoslife.com/careers/
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.
To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.
Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.
We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.
