DevOps Engineer

Consensus

. Design and build sophisticated CI/CD pipelines for rapid feature deployment across microservices and distributed systems .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $130,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing complex CI/CD pipelines, leveraging AI tools for automation and optimization, and applying GitOps principles for efficient deployment strategies. Proficient in Python, Terraform, and Kubernetes, with a strong focus on security and compliance in DevOps practices.

Highest-signal resume keywords

CI/CD Pipeline DesignGitOps ImplementationAI-Powered Development ToolsTerraform Infrastructure-as-CodeAWS Cloud Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD Pipeline DesignGitOps PrinciplesPython ProgrammingTerraformDockerKubernetesShell ScriptingAI Tool AdoptionContinuous Testing StrategiesBuild Optimization

Soft Skills

CollaborativeSelf-MotivatedQuality-FocusedCommunicativeCurious

Tools & Technologies

JenkinsGitLab CIGitHub ActionsArgoCDFluxAWSAIOps PlatformsAnsibleChefSalt

Industry Keywords

DevOpsMicroservicesDistributed SystemsSecurity ScanningCompliance ChecksObservabilityMTTRFeature FlagsCanary DeploymentsBlue-Green Releases

Tech Stack

Tools & technologies

AnsibleAWSChefCloudDistributed SystemsDockerEC2FluxJenkinsKubernetesLinuxMicroservicesNoSQLPythonSaltStackShell ScriptingSpinnakerTerraformUnix

About the role

Key responsibilities & impact

Design and build sophisticated CI/CD pipelines for rapid feature deployment across microservices and distributed systems
Leverage AI code-generation tools to accelerate pipeline development and implement intelligent testing strategies
Write custom pipeline scripts and integrations using Python and shell scripting
Architect GitOps workflows using ArgoCD, Flux, or similar platforms
Implement progressive delivery strategies, including blue-green deployments, canary releases, and feature flags
Optimize builds using AI-powered caching, parallel execution, and dependency analysis
Champion AI tool adoption across the DevOps lifecycle
Use AI pair-programming tools to create Terraform modules, Python automation scripts, shell scripts, Kubernetes manifests, and troubleshooting workflows
Implement AIOps practices for self-healing systems, intelligent alerting, anomaly detection, and predictive maintenance
Use AI-driven monitoring, observability, log analysis, and root-cause analysis to reduce MTTR
Build developer-friendly platform tools that abstract infrastructure complexity
Automate deployments, infrastructure provisioning, security scanning, compliance checks, and operational runbooks
Develop Python automation scripts and CLI tools to streamline operations and integrate systems
Design Kubernetes container-orchestration strategies with AI-enhanced optimization and scaling
Implement AI-powered capacity planning, cost optimization, security scanning, and vulnerability remediation
Partner with engineering teams to optimize delivery pipelines and remove bottlenecks
Evaluate and adopt emerging AI technologies
Create documentation using AI assistants
Drive DevOps culture through mentorship, best-practice evangelism, and technical leadership
Implement feedback loops from production monitoring into development practices

Requirements

What you’ll need

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
Advanced knowledge of GitOps principles and tools such as ArgoCD, Flux, or Spinnaker
Strong understanding of build optimization, artifact management, and deployment strategies
Experience with canary deployments, blue-green releases, and feature flags
Proficiency with continuous testing strategies, automated testing frameworks, contract testing, and test environment management
Deep Git expertise, including branching strategies, pull request workflows, and trunk-based development
Proven production experience using AI-powered development tools such as Claude Code, GitHub Copilot, Cursor, Amazon CodeWhisperer, or similar
Strong prompt engineering skills
Demonstrated efficiency gains from AI tool adoption in previous roles
Understanding of responsible AI practices, including security considerations and code validation
Experience with AI-enhanced testing, security scanning, or deployment automation
2+ years of hands-on AWS experience, including EC2, ECS/EKS, Lambda, S3, RDS, and CloudFormation
Expert-level Terraform skills for infrastructure-as-code
Production experience with Docker and Kubernetes, including multi-cluster management
Strong automation background using Ansible, Chef, Salt, or similar tools
Advanced Python programming skills
Expert-level shell scripting with Bash or sh
Solid understanding of platform, application, and data security, including SOC2 compliance requirements
Linux/Unix systems expertise and system administration skills
Database knowledge across relational, NoSQL, and distributed data stores
Preferred: experience with AIOps platforms, MLOps, artifact repositories, FinOps, service mesh technologies, observability platforms, and multi-cloud environments
Collaborative, self-motivated, quality-focused, AI-forward, communicative, curious, and data-driven

Benefits

Comp & perks

Employer contribution towards health insurance
Dental and vision coverage
Employer contributions to HSA
HSA/FSA programs
401(k) plan with company-matching contributions
Paid parental leave
Unlimited PTO
12 company holidays
Birthday day off
Flex Fridays, every third Friday of the month
Flexible remote work environment
Top-tier work-from-home setup provided
Professional development program
Two paid volunteer days each year