DevOps Engineer

🕒 September 15

🇺🇸 United States – Remote

💵 $130k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 9%

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Consensus

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Consensus is a leading demo automation platform designed to enhance the buyer's experience and streamline the sales process. The company provides tools for creating interactive product demos and tours, enabling sales and presale teams to engage more effectively with potential clients. With its intuitive platform, Consensus allows users to share personalized video demos on demand, conduct automated product simulations, and analyze buyer intent data to uncover key decision-makers and streamline the sales cycle. Trusted by many of the top software companies globally, Consensus helps organizations close deals faster and boost sales efficiency.

📋 Description

• 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

• 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

• 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

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