DevOps Engineer

NeuBird AI; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

NeuBird AI is seeking a DevOps Engineer to own deployment pipelines, CI/CD systems, and GitOps practices. You will optimize Docker images, manage Kubernetes clusters on AWS and Azure, and ensure secure, scalable deployments across environments.

You will collaborate with engineering teams to reduce build times, diagnose failures, and implement automated tests within the pipeline. Strong IaC and cloud experience are essential for driving reliable velocity.

Qualifications

• 3–5 years building and maintaining CI/CD pipelines and deployment infra.
• Hands-on with Travis and GitHub Actions; Docker and Kubernetes in production.
• Experience with FluxCD or ArgoCD for GitOps workflows.
• Familiar with AWS and Azure services; IaC with Terraform/Helm/Kustomize.

Responsibilities

• Own and optimize deployment pipelines for scalable product releases.
• Maintain CI/CD configurations and integrate test stages (unit/integration/smoke).
• Optimize Docker images for size and security; manage Kubernetes manifests.
• Implement and evolve GitOps workflows; diagnose and fix deployment failures.
• Monitor pipeline performance and automate repetitive tasks across AWS/Azure.

Skills

CI/CD pipelines

SaaS experience

Troubleshooting

Collaboration

Tools

Travis CI

GitHub Actions

Docker

Kubernetes

FluxCD

ArgoCD

Terraform

Helm

Kustomize

AWS

Azure

EKS

ECR

AKS

ACR

CloudWatch

Job description

NeuBird is scaling rapidly and we need a DevOps engineer who can build and maintain the deployment pipelines that keep our product shipping fast and reliably. You'll own our CI/CD infrastructure and ensure our engineering teams can deploy code confidently from commit to production.

What You'll Do

Manage and optimize our deployment pipeline for Hawkeye, our AI SRE agent. You'll maintain our CI/CD systems using Travis and GitHub Actions, ensure our Docker containerization strategy scales efficiently, and manage our Kubernetes clusters running on AWS and Azure that power our production workloads. You'll implement and evolve our GitOps workflows using FluxCD to keep deployments consistent, auditable, and recoverable.

You’ll work closely with engineering teams to improve build times, debug deployment failures when they happen, and design deployment strategies that minimize downtime and risk. This means writing and maintaining CI/CD configurations, connecting automated test stages into the pipeline (unit tests, integration tests, smoke tests), optimizing Docker images for size and security, managing Kubernetes manifests and Helm charts, and ensuring our GitOps practices actually work when things go wrong.

You'll troubleshoot failed deployments across environments, trace issues back to their root cause (bad config, resource constraints, networking problems), and implement fixes that prevent recurrence.

You'll also monitor pipeline performance, implement security scanning in the build process, manage infrastructure across AWS and Azure environments, and automate everything that slows teams down.

This role reports to the Head of Engineering and will be instrumental in maintaining our deployment velocity as we scale our engineering team and customer base.

What You Bring

You have 3-5 years building and maintaining CI/CD pipelines and deployment infrastructure, ideally at a SaaS company shipping to production frequently. You're deeply experienced with Travis and GitHub Actions, know Docker inside and out (multi-stage builds, layer optimization, security scanning), and have managed production Kubernetes clusters on AWS and Azure. You understand GitOps principles and have hands‑on experience with FluxCD or similar tools like ArgoCD.

You're comfortable working with AWS services (EKS, ECR, CloudWatch, IAM) and Azure equivalents (AKS, ACR, Azure Monitor). You understand infrastructure as code, whether that's Terraform, Helm, Kustomize, or raw Kubernetes YAML. You know how to debug when deployments fail—reading logs, checking pod status, tracing network issues, investigating resource constraints. You've connected test automation into CI/CD pipelines and know how to balance test coverage with pipeline speed.

More importantly, you're pragmatic. You know when to automate and when to ship the manual solution first. You write documentation that actually helps people. You understand that the best pipeline is the one that developers trust and rarely think about because it just works.

Why NeuBird

We're building the next generation of AI-powered DevOps intelligence. Join a well-funded team that’s moving fast, shipping constantly, and building something genuinely differentiated in a massive market.