Himarley
Sr. DevOps Engineer II
Hybrid - Boston, MA · Senior
Sponsorship not specifiedDetected 35 days ago
DynamoDBRedshiftAWSCloud PlatformsTerraformCI/CDDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningData EngineeringLLMsAgentic AIAI Orchestration
About the role
- If you believe insurance can combine operational excellence and automation with a human touch, we'd love to meet you.
- 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.
Responsibilities
- 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
- 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
- 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
Requirements
- 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
- You have deep experience with AWS cloud services (ECS, Lambda, SageMaker, Bedrock, S3, DynamoDB, Redshift, or equivalent)
Skills
- Insurance touches people during some of the most challenging moments in their lives.
Company info
- What We're Looking For:
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