Job Opportunities API

Insurance touches people during some of the most challenging moments in their lives.  Hi Marley  is on a mission to transform how the P&C industry communicates, making those moments faster, easier, and more empathetic for carriers and the customers they serve. We build AI-powered software that keeps everyone in the  claims  conversation informed and connected. If you believe insurance can combine operational excellence and automation with a human touch,  we’d  love to meet you.   We are looking for a  Sr. DevOps Engineer II   to help us build and scale the infrastructure that powers both our core platform and our rapidly growing agentic AI services. You will be at the intersection of cloud infrastructure, AI operations, and platform engineering — building the foundation that enables Hi Marley to   operate   reliably at enterprise scale while deploying autonomous AI agents in regulated insurance workflows.   You'll   also be expected to raise the bar for the teams around you — setting infrastructure standards, driving technical decisions in ambiguous situations, and helping less experienced engineers grow their operational instincts. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week.   What You’ll Do:   Design and   operate   cloud infrastructure on AWS that supports both our core SaaS platform and our agentic AI services, ensuring reliability, scalability, and cost efficiency   Build and   maintain   AI/ML infrastructure   and monitoring for LLM-powered agentic services   Establish and enforce infrastructure-as-code standards using Terraform, defining the patterns other engineers follow for environment parity, drift detection, and automated compliance validation   Implement observability beyond availability — data integrity monitoring, SLO frameworks with error budgets, and automated regression detection for both platform and AI services   Build deployment automation including pre-deployment verification, migration script validation, and codified rollback procedures to   eliminate   human-memory dependencies   Support big data infrastructure: data pipelines, warehousing (Redshift), and analytics tooling that enables reporting, BI, and AI training workflows   Implement security and compliance controls for AI workloads   operating   in regulated carrier environments — including audit logging, access governance, and configuration management   Drive environment parity across all infrastructure   with automated drift detection and remediation   Improve   disaster recovery capabilities: documented and rehearsed DR procedures, defined RTO/RPO by service tier, and tested recovery runbooks   Lead architecture reviews for new services, integrations, and AI agent deployments — partnering with engineering, product, and security to ensure infrastructure decisions are sound before they ship   Innovate on developer experience: reduce friction in testing environments, CI/CD pipelines, and local development workflows   Act as a technical anchor for infrastructure decisions across teams — providing clarity when requirements are ambiguous and helping the organization converge on consistent, scalable approaches     What We’re Looking For:     6- + years of DevOps/SRE/Platform Engineering experience   2+ years of experience building or operating AI/ML infrastructure (model serving, inference, LLM orchestration, or agentic systems)   Bachelor’s degree in Computer Science , Engineering, or equivalent experience   You have built and operated infrastructure for   traditional and   AI   or   ML workloads at a SaaS company �