Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.
About the role
Ethos is looking for a Senior Engineering Manager to lead our SRE team in Bangalore. In this role, you will manage a team of engineers tasked with our core infrastructure, service reliability, and the development of our internal platforms—including the toolchains supporting our AI initiatives. You will oversee the technical roadmap, drive hiring and professional development, and ensure our production environments meet high standards for uptime, security, and cost-efficiency.
This is a hands-on management position. You will stay close to the technology—participating in design reviews and troubleshooting complex issues—while balancing the operational goals of the SRE charter with the emerging infrastructure needs of our AI platform.
Duties and Responsibilities:
Reliability & Performance Engineering- Incident Management: Oversee the incident response process, ensuring swift resolution of service disruptions and a high standard for post-mortem analysis.
- Service Standards: Help teams define and monitor SLIs and SLOs. Implement practices like capacity planning and disaster recovery to ensure system endurance.
- Operational Health: Manage on-call rotations and develop forward-thinking monitoring and alerting systems to detect failures before they impact users.
- Scalable Systems: Lead the design and maintenance of our cloud infrastructure (AWS) using Infrastructure as Code (Terraform).
- AI Tooling & Governance: Oversee the development of governed gateways for AI model routing. This includes managing model access, implementing audit trails, and securing data connectors (such as MCP) to prevent data exposure.
- Security & Compliance: Ensure that all infrastructure components meet security and regulatory requirements. This includes AI prototyping environments. You will achieve this by using automated scanning and restricting data access.
- Strategic FinOps: Drive initiatives to optimize cloud spend across the organization. This includes standardizing right-sizing and spot instance utilization.
- AI Cost Management: Implement metering and budgeting for LLM token usage. Develop cost-aware routing strategies to ensure tasks use the most proficient model for the job (e.g., optimizing between Claude Opus and Haiku).
- Visibility: Establish clear cost metrics and attribution, partnering with engineering teams to build architectures that are both performant and cost-effective.
- Automation: Oversee the development of internal tools, dashboards, and self-service platforms that reduce friction for product engineering teams.
- Toil Reduction: Identify and automate repetitive manual tasks to improve team efficiency and focus on high-value engineering projects.
- Team Development: Recruit, hire, and retain extraordinary engineering talent. Provide regular feedback and mentorship to support career growth.
- Technical Strategy: Partner with product and engineering management to develop the SRE roadmap and align team goals with company OKRs.
Technical Oversight: Act as a subject matter expert for the team. Review architecture designs and technical specifications to ensure consistency and reliability.
Qualifications and Skills:
- Management Experience: At least 4 years of experience in engineering management. This experience must be in high-growth organizations. Specifically, it should involve leading SRE, DevOps, or Infrastructure teams.
- Technical Background: 6+ years of experience as an individual contributor. You should be comfortable working with Golang, Python, or TypeScript.
- Cloud & Platform Expertise: Deep experience with AWS, Kubernetes, and Terraform. Knowledge with building or managing API gateways and model routing toolchains (e.g., Bedrock, Anthropic) is preferred.
- Cost & Efficiency: Proven experience in managing infrastructure costs. This includes building metering systems. It also includes implementing large-scale initiatives to save on cloud costs.
- AI Infrastructure & Governance: Experience building or managing toolchains for LLM integration, such as AI gateways, model routing, and governance frameworks (e.g., MCP). You should have a solid comprehension of implementing security guardrails, including PII scanning and audit trails for model interactions.
- Systems Knowledge: Solid comprehension of distributed systems, PostgreSQL, and observability tools like DataDog.
Execution: A track record of shipping complex infrastructure projects and managing service stability in a dynamic environment.
Our Tech Stack- Languages: TypeScript, Golang, Python
- Infrastructure: AWS, Kubernetes, Terraform, ArgoCD, Atlantis
Observability & Tools: DataDog, GitHub Actions, PostgreSQL
#LI-Hybrid
#LI-SP1
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.
Skills Required
- 4+ years engineering management experience in high-growth organizations leading SRE, DevOps, or Infrastructure teams
- 6+ years experience as an individual contributor
- Hands-on experience with Golang, Python, or TypeScript
- Deep experience with AWS, Kubernetes, and Terraform
- Experience with ArgoCD and Atlantis
- Experience with DataDog and GitHub Actions
- Experience with PostgreSQL
- Experience building or managing toolchains for LLM integration, AI gateways, model routing, and governance frameworks (e.g., MCP)
- Knowledge building or managing API gateways and model routing toolchains (e.g., Bedrock, Anthropic)
- Proven experience managing cloud costs, metering systems, and large-scale cost optimization initiatives (FinOps)
- Strong incident management, SLIs/SLOs definition, capacity planning, disaster recovery, monitoring, and on-call operations experience
- Experience recruiting, hiring, mentoring, and developing engineering talent
- Solid understanding of distributed systems
What We Do
Ethos makes getting life insurance instant and easy. Our approach blends technology and industry expertise, and the human touch to deliver an incredible life insurance experience. Ethos has raised over $400 million of capital from Sequoia, Accel, Google Ventures, Goldman Sachs, Softbank and more. We are one of the largest U.S. life insurance issuers. We continue to scale quickly and are looking for passionate Ethosaurs to protect the next million families.
Why Work With Us
Ethos is powered by people from all kinds of backgrounds. We embrace a one-team, one-dream mentality, while encouraging Ethosaurs to speak their mind and act boldly, even in the absence of consensus. We believe in decentralized decision making - not decisions made by committee. Here you can have an impact and true ownership over your successes.
