Senior Cloud Systems Engineer — AI-Powered Infra

Intuit; Fargo (ND); On-site; USD 140,000 - 190,000; Full time

Job summary

Intuit is seeking a Senior Systems Engineer on the Delivery team to build, operate, and scale Mailchimp's sending infrastructure. You will own the health of the AWS-based fleet, from Linux hosts and MTA software to deployment pipelines, autoscaling and monitoring.

This hands-on role requires comfort with production systems, scripting, and AI-native tooling. You’ll work across AWS, Terraform, Kubernetes, and CI/CD pipelines, collaborating with cross-functional teams to improve reliability and

Qualifications

• BS/MS in Computer Science or a related field, or equivalent experience.
• 7+ years of engineering experience, with a strong focus on systems, infrastructure, or platform engineering for large-scale distributed or high-throughput services.
• Strong Linux administration and Unix command-line skills, including operating and troubleshooting production server fleets.
• Hands-on experience running production workloads on AWS: compute and instance management, machine images (AMIs), autoscaling, networking, load balancing, and cost-aware operation.
• Experience with Infrastructure-as-Code and configuration management (for example, Terraform, Ansible, or Puppet) for provisioning and maintaining server and network environments.
• Experience with CI/CD and delivery automation, including pipelines (for example, Jenkins), artifact and package management, containers (Docker), and orchestration (Kubernetes or similar).
• Able to read and write code to build tooling and services; Python and PHP are core to this platform, and Go, C/C++, or Perl are a plus (a sample code or portfolio is welcome).
• Experience with MTA software (Postfix, PowerMTA, Momentum, or similar), or comparable experience operating a complex Linux-based server application at scale.
• Working knowledge of DNS, networking, and email authentication (SPF, DKIM, DMARC).
• Experience with relational and in-memory data stores in the serving path (MySQL and Redis; PostgreSQL a plus).
• Experience building observability, including metrics, dashboards, and alerting, and comfort with data and analytics tooling (for example, BigQuery, OpenSearch, and Splunk).
• Comfortable with Git-based version control and modern development tooling.
• Comfortable with AI-native ways of working and hands-on with AI and agent tooling in daily engineering work.
• Able to work independently and as part of a team, break down complex technical concepts for different audiences, and communicate clearly.

Responsibilities

• Design, build, and operate the AWS cloud infrastructure the platform runs on, managing the sending fleet across AWS environments, including AMI and image build pipelines, instance and capacity management, autoscaling, and running the fleet cost-effectively.
• Develop and manage Infrastructure-as-Code (for example, Terraform, Ansible, or Puppet) to provision, configure, and maintain scalable, secure server and network environments.
• Design and manage system architecture across the sending path, including networking, load balancing, and security configuration, to keep production applications and services healthy.
• Design, implement, and maintain the CI/CD pipelines and release automation behind the platform (Jenkins, Artifactory and RPM packaging, containerized services, and Kubernetes/ArgoCD-based delivery), automating deployment workflows so releases to production are reliable, repeatable, and secure.
• Configure and maintain containerized environments (Docker, Kubernetes) for application deployment, scaling, and orchestration.
• Configure and tune MTA software and host-level parameters to manage throughput, queueing, and delivery behavior across the fleet.
• Take part in an on-call rotation, available to handle Delivery-related operational issues outside normal business hours, to keep the platform up and the business running.
• Monitor production systems and infrastructure for performance, availability, and security, and own the metrics, dashboards, and alerting that give the team and stakeholders visibility into fleet and sending health (for example, BigQuery, OpenSearch, and Splunk).
• Respond to fleet, host, and delivery incidents, diagnosing issues that span the MTA software, the hosts, the AWS environment, and the network.
• Write scripts and automation tooling to streamline infrastructure provisioning, system configuration, and operational processes, and to support performance tuning across the fleet.
• Take full responsibility for delivering major platform features and projects, managing technical risk, watching them after launch, and keeping stakeholders informed.

Skills

Linux

On-call readiness

Communication

Independent worker

Python

PHP

Go/C/C++

Git

MTA knowledge

DNS/Networking

Observability tooling

AI tooling

Education

BS/MS in Computer Science or related field

Tools

Terraform

Ansible

Puppet

Jenkins

Docker

Kubernetes

Postfix

PowerMTA

Momentum

MySQL

Redis

PostgreSQL

BigQuery

OpenSearch

Splunk

Git

Jira

Confluence

Job description

Intuit is seeking a Senior Systems Engineer on the Delivery team to build, operate, and scale Mailchimp's sending infrastructure. You will own the health of the AWS-based fleet, from Linux hosts and MTA software to deployment pipelines, autoscaling and monitoring.

This hands-on role requires comfort with production systems, scripting, and AI-native tooling. You’ll work across AWS, Terraform, Kubernetes, and CI/CD pipelines, collaborating with cross-functional teams to improve reliability and