C

Clara Analytics

AI-powered SaaS for workers' compensation claims

DevOps Engineer

DevOps EngineeringUpdated on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • A bachelor's degree or equivalent work experience in lieu of a degree.
  • At least 5 years of experience in DevOps and infrastructure as code.
  • Deep experience with AWS core services, including IAM, VPC/networking, EC2, S3, and EKS or ECS.
  • Strong operating knowledge of Terraform, including modules, remote state, and reading plans; Kubernetes and Helm; and GitLab CI or an equivalent.
  • A change-safety mindset and comfort operating under SOC 2 compliance controls.
  • Some exposure to large language model or AI tooling; agent workflows or MCP frameworks are required, and Bedrock experience is a plus.

Responsibilities

  • Build and maintain automated infrastructure workflows in Terraform, including IAM, EKS, EMR, Lambda, S3, KMS, RDS, and security groups, as well as modules, remote state, and drift management.
  • Own and improve GitLab CI/CD pipelines for automated testing, security scanning, safe and staged promotion, and rollback.
  • Manage Kubernetes on EKS via Helm, including GitLab runners with KEDA.
  • Support AI and agentic workloads, including Bedrock AgentCore runtimes, gateways, memory, and identity; MCP servers; agent deployment; and observability.
  • Provision and manage AWS Bedrock access, including least-privilege IAM, model enablement, and cost and usage monitoring.
  • Handle access management and change requests within SOC 2 controls, maintaining least privilege and auditability and preventing console drift.
  • Operate Elasticsearch/OpenSearch and SFTP data pipelines; contribute to cost optimization and AI-assisted DevOps automation, including agent skills, runbooks, and self-service tooling.

Desired Qualifications

  • Hands-on experience building agentic systems.

About the Company

Clara Analytics

AI-powered SaaS for workers' compensation claims

Clara Analytics provides artificial intelligence software for the commercial insurance space, with a focus on workers’ compensation claims. Its SaaS platform uses machine learning, natural language processing, and image recognition to analyze unstructured data from sources like medical records and legal documents, helping claims managers identify risks, reduce litigation, and optimize settlements. The system ingests documents and images, extracts actionable insights, and presents them to claims adjusters to guide decisions. Clara Analytics differentiates itself by targeting workers’ compensation within commercial insurance and offering an integrated, subscription-based analytics platform that serves carriers, MGAs, and self-insured organizations. Its goal is to improve claim outcomes and efficiency by making claims processing more accurate and data-driven.

Company size
51-200
Company stage
Series C
Total funding
$60.5M
Headquarters
Santa Clara, CA
Founded
2016

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