Consensus Sales, LLC
DevOps Engineer
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- Work type
- Remote
- Compensation
- $130,000 - $140,000/yr
- Posted
- Sep 14, 2026
- Apply on
- ats.rippling.com
About this role
## About Us:
The way people buy software is changing. We’re creating what comes next. Consensus is the world’s most trusted demo platform for B2B sales and marketing teams, rated #1 in Demo Automation on G2.
## About the Role:
We're seeking an exceptional DevOps Engineer with deep CI/CD expertise and proven AI tool proficiency who thrives at the intersection of automation excellence and cutting-edge technology.
## What You’ll Do:
- Design and build sophisticated CI/CD pipelines that support rapid feature deployment across microservices and distributed systems
- Leverage AI code generation tools (Claude Code, Cursor, GitHub Copilot) to accelerate pipeline development, reduce boilerplate, and implement intelligent testing strategies
- Write custom pipeline scripts and integrations using Python and shell scripting to extend and enhance CI/CD capabilities
- Architect GitOps workflows using modern tools like ArgoCD, Flux, or similar platforms
- Implement progressive delivery strategies including blue-green deployments, canary releases, and feature flags
- Champion AI tool adoption across the DevOps lifecycle
- Build developer-friendly platform tools that abstract infrastructure complexity and accelerate feature delivery
- Automate everything: deployments, infrastructure provisioning, security scanning, compliance checks, and operational runbooks using Python and shell scripting
## What We’re Looking For:
- 4+ years of DevOps experience with strong CI/CD focus
- Expert-level experience designing and implementing complex CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar
- Proven track record using AI-powered development tools in production environments
- 2+ years hands-on experience with AWS (EC2, ECS/EKS, Lambda, S3, RDS, CloudFormation)
- Expert-level Terraform skills for infrastructure-as-code
- Production experience with Docker and Kubernetes including multi-cluster management
- Advanced Python programming skills for automation, tooling, and system integration
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