United States onlyAbout Knotch
We're a growth-stage technology company helping brands optimize content performance and apply AI to modern marketing. Our culture is fast-paced, entrepreneurial, and highly adaptable—we move quickly, test ideas, and evolve with our customers.
Through the Knotch platform, brands can measure the impact of their content, identify what drives results, and continuously improve performance across channels. By combining performance data, strategic insights, and AI-driven capabilities, we help marketing teams make smarter decisions and get more impact from every piece of content they produce.
About the Role
As we evolve into an AI-native platform powered by agentic systems and large-scale data pipelines, the reliability, scalability, and observability of our infrastructure becomes mission-critical. We’re not just deploying services — we’re operating complex, production-grade AI systems that enterprise clients depend on every day.
As a DevOps Engineer, you’ll take part in building and scaling the foundation that powers everything we ship — from our core platform to our AI agents. You’ll work across infrastructure, CI/CD, observability, and security to ensure our systems are fast, resilient, and cost-efficient.
This role goes beyond "keeping the lights on". You’ll help define how Knotch operates as an AI-first company, shaping infrastructure strategy, enabling developer velocity, and ensuring our systems scale alongside rapid product innovation. If you want to own infrastructure in a high-impact environment, work closely with engineering teams across the stack, and directly influence how production systems are built and operated, this is *that* role. If you've made it this far, please kindly input this code with your application: DEVOPS-ENG-2026.
Responsibilities
- 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.
Qualifications
You have a minimum 5+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering roles within SaaS, PaaS, or cloud-native environments, with at least 3 years of exposure to GCP cloud environments.
Must Haves
- Prior experience in growth-stage and/or startup environement 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.
Nice-to-Haves (not mandatory)
- Supplementary experience supporting AI/ML or data-intensive workloads in production environments.
- Familiarity with workflow orchestration or data pipeline tools.
- Experience with cost optimization strategies for cloud infrastructure.
- Exposure to security frameworks and compliance best practices.
- Experience working with distributed or globally deployed systems.
How to be Successful
- Infrastructure ownership mindset: You take responsibility for system reliability, performance, and scalability — not just deployments.
- Strong DevOps fundamentals: You understand CI/CD, IaC, observability, and containerization deeply and apply best practices consistently.
- Systems thinking: You think holistically about how services interact, scale, and fail — and design accordingly.
- Collaboration-first approach: You work closely with engineers across disciplines to enable velocity and reliability.
- Pragmatic decision-making: You balance speed, cost, and reliability without over-engineering.
- Operational excellence: You prioritize monitoring, alerting, and incident response as core parts of system design
- Adaptability: You thrive in fast-moving environments and can context switch effectively across priorities.
- Continuous improvement mindset: You proactively identify gaps and improve systems, processes, and tooling over time.
Why Join Knotch
We offer a unique opportunity to build and scale infrastructure that powers a truly AI-native platform. Our stack includes modern tools like Kubernetes, Terraform, AWS, Snowflake, and cutting-edge AI systems, all supported by a team actively building at the intersection of data, AI, and enterprise SaaS.
You’ll have real ownership and impact, influencing how systems are designed, deployed, and operated across the company. The work is highly consequential: the infrastructure you build will directly support production AI systems used by enterprise clients. Most importantly, you’ll be part of a team where infrastructure is not an afterthought — it’s a core part of how we innovate and scale.
The expected salary range for this opportunity is $90,000–$120,000 CAD, depending on skills and experience.
Our Benefits and Perks
Knotch is a fully remote company. Candidates may work from anywhere within Canada or the U.S., with a mandatory EST working time zone. Some of our other great benefits include:
- Comprehensive medical, dental, and vision insurance eligibility
- 401(k) plan
- Unlimited PTO
- 10+ company-paid holidays
- A daily company-wide break, and more!
Equal Opportunity Employer
Knotch is a US-based equal opportunity employer. We strive to provide equal opportunities in all of our processes, including our hiring and employee experience. We pride ourselves on our three values: transparency, relentlessness, and inclusiveness.
We commit to daily work towards leading with empathy, reducing bias through periodic training, and engaging with and uplifting communities of marginalized groups. We condemn all forms of racism and discrimination on the basis of race, religion, ethnicity, nationality, gender identity, sexual orientation, age, marital status, pregnancy or parenthood status, veteran status, disability status, or any other identifier. We encourage all employees, clients, investors, candidates, vendors, and friends of Knotch to deliver honest feedback directly or anonymously so that we may always seek to improve as an organization dedicated to diversity, equity, inclusion, and belonging.
