C

Consensus

Automates presales demos via SaaS

DevOps Engineer

DevOps EngineeringUpdated on Nov 12
Full-timeRemote in USA$130k - $140k /yrRemote

About the Job

Requirements

  • At least 4 years of DevOps experience with a strong CI/CD focus.
  • Expert-level experience designing and implementing complex CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar tools.
  • 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 progressive delivery patterns, including canary deployments, blue-green releases, and feature flags.
  • Proficiency with continuous testing strategies, including automated testing frameworks, contract testing, and test environment management.
  • Deep Git expertise, including branching strategies, pull request workflows, and trunk-based development.
  • A proven track record using AI-powered development tools such as Claude Code, GitHub Copilot, Cursor, or Amazon CodeWhisperer in production environments.
  • Strong prompt engineering skills and the ability to collaborate effectively with AI assistants on complex infrastructure problems.
  • Demonstrated efficiency gains from adopting AI tools in previous roles.
  • Understanding of responsible AI practices, including security considerations and code validation when using AI assistants.
  • Experience with AI-enhanced testing, security scanning, or deployment automation.
  • At least 2 years of hands-on experience with AWS, 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.
  • A strong automation background using Ansible, Chef, Salt, or similar tools.
  • Advanced Python programming skills for automation, tooling, and system integration.
  • Expert-level shell scripting in Bash or sh for operational automation and CI/CD scripting.
  • A solid understanding of platform, application, and data security, including SOC 2 compliance requirements.
  • Linux/Unix systems expertise, including strong command-line proficiency and system administration skills.
  • Database knowledge across relational, NoSQL, and distributed data stores.

Responsibilities

  • Design and build sophisticated CI/CD pipelines that support rapid feature deployment across microservices and distributed systems.
  • Use AI code generation tools such as Claude Code, Cursor, and 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 tools such as ArgoCD, Flux, or similar platforms.
  • Implement progressive delivery strategies, including blue-green deployments, canary releases, and feature flags.
  • Create intelligent build optimization using AI-powered caching, parallel execution, and dependency analysis.
  • Promote AI tool adoption across the DevOps lifecycle, from infrastructure as code to incident response.
  • Use AI pair-programming tools to write 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 and observability to identify issues before they affect customers.
  • Use AI-powered log analysis and root cause analysis to reduce mean time to resolution.
  • Build developer-friendly platform tools that abstract infrastructure complexity and accelerate feature delivery.
  • Automate deployments, infrastructure provisioning, security scanning, compliance checks, and operational runbooks using Python and shell scripting.
  • Develop custom Python automation scripts and command-line interface tools to streamline operations and integrate disparate systems.
  • Design container orchestration strategies using Kubernetes with AI-enhanced optimization and scaling.
  • Implement AI-powered capacity planning and cost optimization to support data-informed infrastructure decisions.
  • Integrate intelligent security scanning and automated vulnerability remediation into CI/CD workflows.
  • Partner with engineering teams to optimize delivery pipelines and remove bottlenecks.
  • Evaluate and adopt emerging AI technologies that improve team efficiency and system reliability.
  • Create comprehensive documentation using AI assistants to accelerate knowledge sharing.
  • Promote DevOps culture through mentorship, best-practice advocacy, and technical leadership.
  • Implement feedback loops from production monitoring into development practices.

Desired Qualifications

  • Experience with AIOps platforms such as Datadog AI, New Relic AI, Dynatrace AI, or Moogsoft.
  • MLOps knowledge or experience supporting AI/ML model deployment pipelines.
  • Familiarity with artifact repositories such as JFrog Artifactory, Nexus, or AWS ECR.
  • A background in cloud cost optimization using FinOps practices and AI-powered tools.
  • Experience with service mesh technologies such as Istio or Linkerd for advanced traffic management.
  • Expertise with observability platforms such as Prometheus, Grafana, ELK stack, or Datadog.
  • Multi-cloud experience with AWS, Azure, GCP, or OCI.

About the Company

Consensus

Automates presales demos via SaaS

Consensus provides a SaaS platform that automates presales tasks for B2B sales teams, focusing on product demos, lead discovery and qualification, and proofs of concept. The product automates repetitive presales activities and manages demo and POC workflows in a cloud-based system billed by users or service level. This helps sales engineers and technical sales professionals run demos and qualifications more efficiently at scale, freeing time for higher-value work. Compared to competitors, Consensus targets presales automation for complex tech deals, supports the full demo-to-POC process, and engages the community through DEMOFEST and on-demand recordings; its goal is to raise sales conversion rates by making presales faster and more consistent.

Company size
201-500
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$133.7M
Headquarters
Atlanta, GA
Founded
2013

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