Site Reliability & Observability Engineer

At Sixfold, we’re building the AI platform that transforms how insurers evaluate and price risk. Not just another tool that generates summaries or flags issues—we’re creating AI agents that actually understand risk the way veteran underwriters do. Our platform is processing billions in premium for some of the world’s largest carriers, and we’re just getting started.

The technical challenges are wild. We’re teaching AI to understand that a bakery in Florida faces different risks than one in Montana. To know when a manufacturing company’s pivot from toys to medical devices fundamentally changes their risk profile. To make million-dollar decisions with the same intuition as someone who’s been underwriting for 20 years.

What makes Sixfold special isn’t just the technology—it’s that we’re building it with people who deeply understand insurance. Our team includes folks who’ve built and scaled carriers, researchers who’ve pushed the boundaries of AI, and engineers who just love solving seemingly impossible problems.

We’re still early, but the impact is already real. If you want to build AI that matters—that affects real businesses, real people, and billions in economic activity—Sixfold is where you should be. We’re not just digitizing insurance. We’re reimagining what it can be.

• Lead observability and reliability strategy across the company, moving us from disparate signals to a clear, trusted view of system health by establishing company standards, defining milestones to work towards higher levels of operational maturity, and shared ownership. Operationally, you’ll be responsible to lead our disaster recovery exercises and develop plans for higher levels of maturity to meet our evolving business needs.
• Own the end-to-end incident and production experience, including on-call design, incident management, post-incident learning, and clear, template-driven customer communication in partnership with Customer Success.
• Influence reliability at the application and system level, partnering with engineers to improve instrumentation in code, resolve cross-team tradeoffs, and design for failure across interconnected services and vendors.
• Establish reliability patterns for modern, AI-driven systems, including long-running requests, partial failures, retries, and graceful degradation, while managing key vendor reliability standards.

• Senior+ reliability engineering experience, including time as an SRE, Platform Engineer, or Staff-level engineer, with a background that touches both infrastructure (preferably AWS and/or Azure) and application code.
• Strong application-level fluency, including analyzing logs and traces, and contributing production code (e.g., meaningful PRs) to improve observability and reliability directly in services.
• System-level thinking across complex ecosystems, with experience operating and reasoning about multiple interconnected services, vendors, and failure modes, and making explicit, well-documented tradeoffs.
• Proven influence without authority, demonstrated by raising reliability standards through collaboration across Engineering, Product, and Customer Success, navigating disagreement, and driving alignment—paired with practical experience designing for reliability in AI- and LLM-backed systems using modern developer tooling.

• A smart self-starter: You have a bias for action. You orient yourself around solutions and outcomes and don’t wait for others to tell you what to do. But you also understand how to build alignment and conviction for a decision that can’t be taken back easily.
• A force multiplier: You look for ways to magnify your impact and your team’s. When you find a productivity hack, you share it with your teammates and build a tool to make it easier. You document knowledge for the benefit of future teammates. And you lean into AI and automation to improve your productivity.
• An empathetic communicator: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
• A learner: You thrive on learning new things. You can name your favorite sources of what’s new in tech and AI, and you’re excited to tell us about your latest hack or discovery.

• Expected full-time salary range between $185,000 to $225,000 + equity + benefits.
• Advertised and actual salary ranges may differ by geographic area, work experience, education, and/or skill level.
• This position does not include visa sponsorship. Candidates must be authorized to work in the United States without requiring employer sponsorship.

We foster an environment that welcomes professionals with a diversity of backgrounds and ideas. We value passionate professionals who bring creativity, determination, and a commitment to our mission. At Sixfold, every team member plays a crucial role, with opportunities to make meaningful and visible contributions to our success.

We believe in empowering our employees through continuous growth, learning, and a proactive problem-solving approach. Our comprehensive compensation package includes competitive salaries, equity opportunities, and robust benefits, all within a supportive and inclusive workplace culture. If you're driven to make a significant impact alongside exceptional colleagues, we want to hear from you.

We are committed to accessibility and provide reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout our recruitment process.If you have any difficulty using our online system and you need accommodation due to a disability, please reach out to us directly at (646) 847-8824.

Sixfold does not accept unsolicited agency resumes and is not responsible for any fees related to unsolicited resumes.