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SPS Commerce

engineering opportunity

Cloud Engineer

The Cloud Engineer will build, automate, and operate multi-cloud environments across AWS, Azure, and GCP while implementing Infrastructure as Code. They will also contribute to AIOps initiatives, disaster recovery planning, and collaborate with engineering teams to scale production systems.

United StatesremoteFULL_TIME

Posted

About the role

What will you do at SPS Commerce?

Description

SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain!

Position Summary:

As a Cloud Engineer on the Systems Integration team at SPS Commerce, you will play a key role in delivering reliable, secure, and cost-effective cloud operations across multiple business divisions. You will build, automate, and operate multi-cloud environments spanning AWS, Azure, and GCP, helping to integrate acquired systems into SPS’s cloud‑forward infrastructure.

You will focus heavily on Infrastructure as Code, automation, and AI‑driven operations, bringing your cloud platform experience and hands-on exposure to AI tooling to solve real-world challenges from day one.

Essential Responsibilities / Duties

Build, operate, and maintain highly available, secure, and cost-effective cloud infrastructure across AWS and Azure — including compute, networking, storage, identity, and databases

Implement and maintain Infrastructure as Code solutions (CloudFormation, Bicep, Terraform) for repeatable provisioning and configuration management across cloud platforms

Build and maintain CI/CD pipelines and automation workflows using cloud-native tooling (AWS Lambda, GitHub Actions, Azure Logic Apps, Azure Functions) and scripting to eliminate operational toil

Support Disaster Recovery implementation and testing; contribute to failover automation, DR runbooks, and recovery validation

Monitor and support observability systems; contribute to AIOps initiatives and apply AI use cases — including AI-integrated tooling and agent-based automation — to improve operational reliability

Support the security team in identifying and remediating cloud vulnerabilities; follow and help enforce best practices across access controls, identity management, and network segmentation

Collaborate with Technology Engineering, Development, and Product Management to develop and scale production systems; optimize cloud resource usage for cost control; participate in on-call rotation and incident response

Maintain documentation and runbooks that keep infrastructure legible, maintainable, and resilient

Location:

This is a fully remote role across the US

Minimum Requirements

2+ years of hands-on cloud infrastructure experience across AWS and/or Azure — including compute, networking, storage, identity, and IaC — with a Bachelor's degree; or equivalent work experience

Experience with Infrastructure as Code tools — CloudFormation, Bicep, ARM templates, and/or Terraform

Scripting proficiency in PowerShell and/or Python for automation and operational tooling

Linux/Unix administration experience in a cloud environment

Experience participating in Disaster Recovery implementation and testing; familiarity with failover architecture, RPO/RTO planning, and runbook documentation

Experience building CI/CD pipelines using GitHub Actions, AWS Lambda, Azure DevOps, Logic Apps, Functions, or similar tooling

Experience with enterprise monitoring platforms such as LogicMonitor, Grafana, or equivalent

Understanding of cloud networking fundamentals: VPCs/VNets, subnets, DNS, load balancers, firewalls, and identity/authorization systems (Entra ID, IAM, SAML)

Familiarity with AI tooling in an operational or engineering context (AWS Bedrock, Azure OpenAI, or similar); demonstrated interest in applying AI to cloud operations use cases

Preferred Experience

Familiarity with Google Cloud Platform (GCP)

Experience with container orchestration platforms such as Kubernetes or ECS

Cloud certifications are a plus: AWS Solutions Architect, Azure Administrator (AZ-104), Solutions Architect Expert (AZ-305), or HashiCorp Terraform Associate

What We Offer:

At SPS Commerce, we are committed to ensuring that each employee's compensation reflects their unique experiences, performance, and skills in their role. The salary range for this role considers several factors, including education, relevant skills, work history, certifications, location, and more.

The annual salary range for this role is: $95,260 - $110,000. The actual salary offered will be determined based on the factors listed above and may fall anywhere within the range.

SPS Commerce offers a comprehensive benefits package designed to support employees’ health, well-being, and financial security.

Benefits

are country-specific and aligned with local laws and market practices.

Commitment to our Employees:

At SPS we power connections that drive the world of commerce forward, and our success depends on making strong decisions, fostering innovation, delivering unparalleled customer solutions, and driving outstanding business performance. We achieve this by creating an environment where every employee feels a true sense of belonging. We embrace diversity, equity, and inclusion, ensuring everyone feels accepted, valued, and empowered to make a meaningful impact.

We are committed to affirmative action and equal opportunity in all aspects of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Which skills does this role require?

Cloud infrastructureInfrastructure as CodeCloudFormationBicepCI/CD pipelinesPythonPowerShellLinuxDisaster recoveryObservabilityAIOpsIdentity managementNetwork segmentationCloud EngineerCI/CDGitHub ActionsDisaster RecoveryLogicMonitorGrafanaVPCIdentity ManagementSAMLEntra IDAWS BedrockAzure OpenAISupply Chain ManagementAutomationCloud SecuritySystem IntegrationMachine Learning

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