The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.

We're building the platform they run on, and a brand they'll be proud to be part of.

Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.

We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.

If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.

THE ROLE

Every day, Confido processes remittances, deductions, retailer disputes, and trade spend for some of the fastest-growing brands in CPG. When our platform is down or slow, a customer’s cash gets stuck. We’re hiring a DevOps Engineer to own the infrastructure and tooling that keeps the platform fast, safe, and easy to ship to.

You’ll work across AWS, Kubernetes, Terraform, GitHub Actions, observability, and security. Your goal is to make it easier for every engineer at Confido to ship confidently, debug quickly, and operate production without heroics. This is a hands-on role. You’ll split your time between planned platform projects and whatever production needs today. You’ll work closely with our product engineers and engineering leadership. We expect you to form your own opinions about where the platform needs to go and then make it happen.

Location: New York, NY (in office; relocation supported)

What You’ll Do

Own and improve our production infrastructure on AWS, including Kubernetes, PostgreSQL, S3, networking, IAM, and load balancing.

Manage infrastructure as code in Terraform so that every change is reviewable, repeatable, and safe to roll back.

Build and maintain CI/CD pipelines in GitHub Actions for our Rails, Python, and TypeScript services, including migrations and automated testing.

Expand observability across services with OpenTelemetry, Prometheus, and Grafana, so issues surface before customers notice them.

Investigate production incidents, find root causes, and ship lasting fixes instead of manual workarounds.

Make deployments safer with automated checks, progressive rollouts, and clear rollback paths.

Partner with product engineers on local development, test environments, and release workflows.

Track capacity, reliability, and cloud spend, and make practical improvements as customer volume grows.

Help define our incident response, backup, disaster recovery, and business continuity practices.

Join a shared on-call rotation, and make on-call better for everyone on it.

What Success Looks Like

First 30 days: You’ll learn our architecture, deployment process, and security controls. You’ll ship changes through the existing pipeline. You’ll review recent incidents and recurring pain points, and start knocking some of them out.

By 60 days: You’ll own a meaningful area, such as CI/CD, observability, deployment reliability, or cloud security. You’ll also deliver improvements that cut manual work or make releases faster and safer.

By 90 days: You’ll land a significant platform improvement with measurable results, such as faster deploys, fewer incidents, better recovery time, stronger security, or lower cloud cost. You’ll also have a prioritized infrastructure roadmap, and you’ll be the person the team trusts on production and platform decisions.

What We’re Looking For

Required

3+ Years of experience building and operating production infrastructure for a software product

Strong AWS experience, including a working understanding of networking, compute, storage, databases, and IAM

Experience running containerized workloads on Kubernetes

Infrastructure-as-code experience (Terraform, Pulumi, or similar)

Experience building and maintaining CI/CD pipelines

Solid instincts for observability, incident investigation, and root-cause analysis

Ability to automate operational work in Python, shell, or another language