Senior DevOps Engineer - Remote, AI-Driven Infra & SOC 2

CLARA Analytics, Inc.

United States

Remote

USD 130,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Fully remote
Health insurance
401k with company match
PTO (flex/unlimited)

Job summary

CLARA Analytics, Inc. is seeking a DevOps Engineer to support Eastern Time Zone hours and collaborate with Data and Software Engineering teams. You will maintain automated infrastructure with Terraform and Helm, manage AWS Bedrock access, and ensure SOC 2 compliant operations.

You will optimize CI/CD pipelines in GitLab, manage Kubernetes on EKS, and contribute to AI-assisted DevOps automation. A strong focus on safety, scale, and compliance guides every deployment.

Qualifications

  • 5+ years of DevOps and Infrastructure-as-Code experience.
  • Deep experience with AWS core services (IAM, VPC, EC2, S3, EKS/ECS).
  • Strong knowledge of Terraform (modules, remote state, drift management).
  • Kubernetes + Helm, and GitLab CI/CD or equivalent.
  • Exposure to SOC 2 compliance controls and auditability.

Responsibilities

  • Build and maintain automated infrastructure workflows in Terraform (IAM, EKS, EMR, Lambda, S3, KMS, RDS, security groups).
  • Own and improve GitLab CI/CD pipelines with testing, security scans, and safe promotions.
  • Manage Kubernetes on EKS via Helm and GitLab runners with KEDA.
  • Support AI/agentic workloads and Bedrock AgentCore runtimes.
  • Handle access management and changes under SOC 2 controls.

Education

Bachelor's degree or equivalent experience

Tools

Terraform
AWS
Kubernetes
GitLab CI/CD
Helm
EKS
Bedrock AI tooling
IAM
S3
RDS
EMR

Job description

CLARA Analytics, Inc. is seeking a DevOps Engineer to support Eastern Time Zone hours and collaborate with Data and Software Engineering teams. You will maintain automated infrastructure with Terraform and Helm, manage AWS Bedrock access, and ensure SOC 2 compliant operations.

You will optimize CI/CD pipelines in GitLab, manage Kubernetes on EKS, and contribute to AI-assisted DevOps automation. A strong focus on safety, scale, and compliance guides every deployment.

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