Note: The job is a remote job and is open to candidates in USA. Consensus is a SaaS company creating a continuous B2B buying experience through interactive product demos, AI demo agents, and live demos. The DevOps Engineer will lead CI/CD strategy, build sophisticated deployment pipelines, leverage AI-powered development and operations tools, and automate platform, infrastructure, security, and observability workflows.
Responsibilities
- 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
- Create intelligent build optimization using AI-powered caching, parallel execution, and dependency analysis
- Champion AI tool adoption across the DevOps lifecycle—from infrastructure-as-code to incident response
- Use AI pair programming tools daily 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
- Leverage AI-driven monitoring and observability to proactively identify issues before they impact customers
- Employ AI-powered log analysis and root cause analysis to dramatically reduce MTTR (Mean Time To Resolution)
- 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
- Develop custom automation scripts and CLI tools in Python 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 drive data-informed infrastructure decisions
- Integrate intelligent security scanning and automated vulnerability remediation into CI/CD workflows
- Partner with engineering teams to optimize their 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
- Drive DevOps culture through mentorship, best practices evangelism, and technical leadership
- Implement feedback loops from production monitoring into development practices
Skills
- 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 like ArgoCD, Flux, or Spinnaker
- Strong understanding of build optimization, artifact management, and deployment strategies
- Experience with progressive delivery patterns: canary deployments, blue-green releases, 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
- Proven track record using AI-powered development tools (Claude Code, GitHub Copilot, Cursor, Amazon CodeWhisperer, or similar) in production environments
- Strong prompt engineering skills—ability to effectively collaborate with AI assistants for complex infrastructure problems
- Demonstrated efficiency gains from AI tool adoption 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
- 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
- Strong automation background using Ansible, Chef, Salt, or similar tools
- Advanced Python programming skills for automation, tooling, and system integration
- Expert-level shell scripting (Bash, sh) for operational automation and CI/CD scripting
- Solid understanding of platform, application, and data security including SOC2 compliance requirements
- Linux/Unix systems expertise with strong command-line proficiency and system administration skills
- Database knowledge across relational, NoSQL, and distributed data stores
- Experience with AIOps platforms (Datadog AI, New Relic AI, Dynatrace AI, Moogsoft)
- MLOps knowledge or experience supporting AI/ML model deployment pipelines
- Familiarity with artifact repositories like JFrog Artifactory, Nexus, or AWS ECR
- Background in cloud cost optimization using FinOps practices and AI-powered tools
- Experience with service mesh technologies (Istio, Linkerd) for advanced traffic management
- Observability platform expertise (Prometheus, Grafana, ELK stack, Datadog)
- Multi-cloud experience (Aws, Azure, GCP, OCI)
- Collaborative and empathetic with a passion for enabling other engineers to succeed
- Self-motivated with excellent problem-solving abilities and a bias for action
- Quality-focused but pragmatic about balancing perfection with shipping value
- AI-forward and efficiency-obsessed—constantly seeking ways to leverage intelligent tools to eliminate toil
- A clear communicator who can explain complex technical concepts to diverse audiences
- A master pipeline architect with an eye for elegant automation and developer experience
- Relentlessly curious about emerging technologies and industry best practices
- Data-driven with strong judgment on when to leverage AI tools versus traditional approaches
Benefits
- Employer contribution towards health insurance, with a variety of plans that include dental and vision coverage.
- Employer contributions to an HSA, plus HSA/FSA programs.
- 401(k) plan featuring company-matching contributions.
- Paid parental leave.
- Unlimited PTO and 12 company holidays.
- A birthday day off.
- Flex Fridays, where every third Friday of the month is yours to unwind.
- A flexible, remote work environment.
- A top-tier work-from-home setup provided when you join.
- Professional development program to expand your skills and advance your career.
- Two paid volunteer days each year at a charity of your choice.
Company Overview
Company H1B Sponsorship