Software Engineer II, DevOps

Morning Consult

. Build and maintain infrastructure, pipelines, and tooling for AI-powered products .

Posted 10/23/2026full-timeRemote • United StatesJuniorMid-Level💰 $93,300 - $150,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining infrastructure for AI-powered products, with a strong focus on AWS services, infrastructure as code, and CI/CD pipelines. Proven ability to lead projects, improve observability, and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

AWS ExperienceInfrastructure As CodeCI/CD PipelinesDevOps EngineeringAI Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS EC2AWS EKSAWS ECSAWS S3AWS IAMTerraformCloudFormationKubernetesIncident ResponseDebugging

Soft Skills

Project OwnershipTechnical CommunicationCollaboration

Tools & Technologies

CI/CD ToolsAI Tools

Industry Keywords

InfrastructureObservabilityCost EfficiencyNetworkingAutomation

Tech Stack

Tools & technologies

AWSEC2KubernetesTerraform

About the role

Key responsibilities & impact

Build and maintain infrastructure, pipelines, and tooling for AI-powered products
Own infrastructure as code and CI/CD pipelines
Contribute infrastructure perspectives to architecture decisions
Improve observability, alerting, incident response, and tracing
Lead infrastructure projects from scoping through rollout
Maintain a secure, reliable, and cost-efficient AWS environment
Review teammates’ infrastructure code and share knowledge
Use AI tools in infrastructure work and share effective practices
Collaborate with product and data engineers

Requirements

What you’ll need

Hands-on AWS experience with core services, including EC2, EKS or ECS, S3, IAM, and networking
2–4 years of DevOps engineering experience
Experience with infrastructure as code using Terraform or CloudFormation
Experience with CI/CD pipelines
Track record of owning projects end to end
Ability to explain technical tradeoffs clearly to engineers outside infrastructure
Curiosity about AI and experience using AI tools for infrastructure, debugging, or automation
Kubernetes experience is nice to have
Must be authorized to work in the United States for any employer
Must live in one of the listed hiring states

Benefits

Comp & perks

Equity grant eligibility
Catered lunch on Tuesdays, Wednesdays and Thursdays for office-based employees
Beverages and impromptu after-work happy hours
Accessible offices near public transportation, restaurants, and shopping
Inclusive work environment
Reasonable accommodations for qualified individuals