Senior Devops Engineer

Senior DevOps Engineer

Tired of the same old corporate grind? At Consensus, we're not just another SaaS company—we're a dynamic team on a mission to change how buyers buy and how sellers sell. Your unique perspective isn't just welcomed; it's essential. We empower you to bring your authentic self to work and fuel your passion for innovation.

Our values aren't just words on a wall—they're the heartbeat of our culture. We want you to show up, ready to contribute and grow. Embrace the idea that perfection isn't the goal; it's about putting your name on something that's a "version one" and owning the journey.

With our Product Experience Platform, we're changing the game with tools like product tours, video demos, and product simulations that accelerate deal closures and create engaging buyer experiences. If you're ready to roll up your sleeves and contribute to a transformative journey in enterprise software, we want you on our team. Want to see Consensus in action for yourself? Check out our demo (in the Consensus platform—meta, right?)

Engineering at Consensus is where collaboration meets innovation. We operate with transparency and foster a blameless culture—mistakes aren't something to hide; they're fuel for growth. Solving real customer challenges is at the heart of everything we do, and we believe the best software comes from engineers who think like product owners. Here, your ideas matter, your work drives impact, and every line of code makes a difference.

We're seeking an exceptional Senior DevOps Engineer with deep CI/CD expertise and proven AI tool proficiency who thrives at the intersection of automation excellence and cutting-edge technology. If you're passionate about building world-class deployment pipelines, leveraging AI to supercharge productivity, and solving complex technical challenges with modern tools, this role is for you.

You'll be the driving force behind our continuous integration and deployment strategy, architecting sophisticated pipelines that enable our development teams to ship features rapidly and reliably. Your ability to harness AI-powered tools like Claude Code, GitHub Copilot, Cursor, and intelligent automation platforms will be critical to accelerating our engineering velocity while maintaining the highest standards of quality and security.

This role will help Consensus meet aggressive scale and platform growth challenges using the best technologies available, with AI tools as a core part of your daily workflow.

CI/CD Pipeline Architecture & Innovation

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

AI-Enhanced DevOps Operations

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)

Platform Engineering & Automation

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

Collaboration & Continuous Improvement

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

CI/CD Core Expertise (Required)

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

AI Tools & Modern Development (Required)

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

Cloud & Infrastructure Fundamentals (Required)

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

Preferred Qualifications

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)

Personal Attributes

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