Sr. DevOps Engineer II

Hi MarleyBoston, Massachusetts, United States · Posted 2 months ago

Full-timeEst. 140,000 USD

Description

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 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 
You naturally step up to lead technical conversations, and people across teams seek you out when infrastructure decisions get complicated 
You have deep experience with AWS cloud services (ECS, Lambda, SageMaker, Bedrock, S3, DynamoDB, Redshift, or equivalent) 
You have strong infrastructure-as-code skills with Terraform and understand how to manage state, modules, and multi-environment configurations 
You understand data infrastructure: pipelines, warehousing, ETL/ELT, and how to support analytics at scale 
You think about observability as more than dashboards — you care about data integrity, SLOs, error budgets, and catching silent failures 
You have experience with compliance-sensitive environments and understand why audit trails, access governance, and change management matter 
You are comfortable operating in a fast-moving environment where AI capabilities are evolving rapidly and infrastructure decisions have regulatory implications 
You communicate well with both engineering and non-technical stakeholders 
Track record of leading cross-team technical initiatives and mentoring engineers on infrastructure and operational best practices 
Strong proficiency in at least one programming language (Python, Go, TypeScript, or similar) 
Experience with:
- Container orchestration (ECS, EKS) 
- Monitoring and observability platforms (Datadog, CloudWatch) 
- Data infrastructure (Redshift, or similar data warehousing; Airflow, dbt, Dagster or similar pipeline tools) is a strong plus 
Experience in regulated industries (insurance, financial services, healthcare) is a strong plus 
A genuine curiosity about AI and emerging technologies, paired with the judgment to apply them thoughtfully and responsibly

Compensation, Benefits & Perks:
At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$119,000–$221,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It’s most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role.

In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including:

Equity grants for all employees
A 4% matching 401(k) program
Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week
Monthly wellness stipend
Paid parental leave
A flexible vacation policy - we all work hard and take time when we need it

Who We Are:
At Hi Marley, our culture is built on three core values that every employee embodies: