DevOps Engineer

🕒 April 30

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Logo of Knotch

Knotch

51 - 200 employees

Founded 2013

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

SaaS • Artificial Intelligence • B2B

Knotch is an AI-powered content intelligence and optimization platform that helps brands measure, diagnose, and improve content performance across their websites and customer journeys. Knotch One offers site-wide content audits, engagement and sentiment analytics, conversion and journey tracking, surveys, and AI-driven content optimization, generation, versioning, and playbooks for SEO and LLM discoverability. The company also provides managed AI services (AgentC) and tools for repurposing, testing, and scaling high-performing content tailored to a brand’s voice.

📋 Description

• Design, build, and maintain scalable, secure, and highly available infrastructure across pre-production and production environments • Develop and manage CI/CD pipelines to enable fast, reliable, and repeatable deployments across multiple environments • Own infrastructure as code (IaC) practices using tools like Terraform to ensure consistency and reproducibility • Manage environment lifecycle (development, staging, production), including promotion workflows and configuration management • Partner closely with Engineering, Data, and AI teams to support system performance, reliability, and scalability • Implement and maintain monitoring, logging, and alerting systems to ensure high visibility into system health and performance • Optimize infrastructure for cost, performance, and reliability, especially for compute- and data-intensive AI workloads • Support Kubernetes-based deployments and container orchestration for distributed systems • Contribute to security best practices across infrastructure, including IAM, networking, and application-level protections • Create dashboards and reporting systems to provide visibility into system performance, uptime, and operational metrics • Document architecture, operational processes, and infrastructure decisions to support knowledge sharing and onboarding • Act as a DevOps/SRE partner across teams, helping troubleshoot issues and improve system reliability

🎯 Requirements

• 5+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering roles within SaaS, PaaS, or cloud-native environments • Prior experience in growth-stage and/or startup environment scaling from $10M to $20M+ ARR with a lean team • Strong experience with Google Cloud Provider (GCP), including IAM, networking, and data services • Hands-on experience with Infrastructure as Code tools such as Terraform • Experience building and maintaining CI/CD pipelines (GitHub Actions, ArgoCD, or similar) • Solid experience with Kubernetes, Docker, and containerized environments • Familiarity with deployment tools such as Helm • Experience with monitoring and observability tools like Prometheus and Grafana • Strong understanding of system reliability, scalability, and performance optimization • Ability to work across multiple systems and priorities in a dynamic environment • Strong documentation and communication skills, with attention to clarity and detail • Supplementary experience supporting AI/ML or data-intensive workloads in production environments (Nice-to-Have) • Familiarity with workflow orchestration or data pipeline tools (Nice-to-Have) • Experience with cost optimization strategies for cloud infrastructure (Nice-to-Have) • Exposure to security frameworks and compliance best practices (Nice-to-Have) • Experience working with distributed or globally deployed systems (Nice-to-Have)

🏖️ Benefits

• Comprehensive medical, dental, and vision insurance eligibility • 401(k) plan • Unlimited PTO • 10+ company-paid holidays • A daily company-wide break, and more!

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