FDE Infrastructure SRE Engineer - USA

Inviso Corporation; Northern (KY); Hybrid; USD 115,000 - 175,000; Full time

Job summary

Inviso Corporation is seeking a remote, client-facing Infrastructure Engineer to support an external software development organization as part of Inviso's delivery team, helping build the operational and reliability foundations for an enterprise AI platform.

This role designs, builds, and operates cloud, infrastructure, deployment, observability, and reliability capabilities that enable safe, repeatable platform delivery, with a focus on landing zones, IaC, Kubernetes, CI/CD, and production

Qualifications

• Experience building and operating production cloud infrastructure with reliability ownership.
• Strong experience with infrastructure-as-code, landing zones, networking, identity, security, and environment management.
• Experience with Kubernetes, containerized workloads, CI/CD pipelines, and automated deployment practices.

Responsibilities

• Design, build, and operate cloud infrastructure, deployment, observability, and reliability capabilities for production environments.
• Own reliability practices, incident response, and postmortems to reduce toil and improve platform readiness.
• Collaborate with client teams in a remote consulting setting to land scalable, cost-efficient solutions.

Skills

Cloud infrastructure

Kubernetes

CI/CD pipelines

Observability

SRE practices

Automation

Client-facing

Tools

Terraform

GitHub Actions

Azure

Azure DevOps

Job description

This is a remote, client-facing consultant role with Inviso. In this position, you will support an external software development organization as part of Inviso's delivery team, helping build the operational and reliability foundations for an enterprise AI platform.

The Inviso Infrastructure / SRE Engineer is responsible for designing, building, and operating the cloud, infrastructure, deployment, observability, and reliability capabilities that allow platform teams to ship safely and consistently. This role focuses on landing zones, infrastructure-as-code, Kubernetes, CI/CD, observability, incident response, cost optimization, and production readiness.

The Engineer treats infrastructure and reliability as products, building repeatable systems that reduce toil, improve delivery speed, and support mission-critical customer environments. The ideal candidate is hands-on, automation-minded, calm under pressure, and comfortable owning systems in production.

This is a 100% remote role, but may require some travel due to client needs.

Experience & Skills Required

• Experience building and operating production cloud infrastructure with reliability ownership.
• Strong experience with infrastructure-as-code, landing zones, networking, identity, security, and environment management.
• Experience with Kubernetes, containerized workloads, CI/CD pipelines, and automated deployment practices.
• Experience establishing observability using metrics, logs, traces, dashboards, alerting, and actionable operational signals.
• Experience defining or supporting SLOs, reliability practices, incident response, postmortems, and on-call operations.
• Ability to automate operational tasks and reduce manual toil through scripts, tools, runbooks, and platform services.
• Experience preparing software for customer-controlled, hybrid, BYOC, on-premises, or edge environments preferred.
• Strong understanding of cost and capacity optimization, including expensive compute such as GPU workloads.
• Strong communication and collaboration skills for client-facing consulting environments.
• Pragmatic mindset with the ability to balance speed, safety, automation, cost, and operational quality.

Desired Qualifications

• Experience with Azure, Kubernetes, Terraform, Bicep, GitHub Actions, Azure DevOps, or related infrastructure and delivery tools.
• Experience with Azure Arc, fleet management, pull-based deployment patterns, or version/configuration drift management.
• Experience supporting regulated, air-gapped, edge, or mission-critical delivery environments.
• Experience supporting AI/ML platforms, model-serving infrastructure, GPU workloads, or AI development lifecycle operations.
• Experience building enterprise-scale infrastructure supporting multiple teams, products, or customers.
• Experience using AI-assisted development tools while maintaining strong review, testing, and operational discipline.

Success Criteria

Success in this role is measured by reliable platform operations, repeatable delivery, strong observability, reduced operational toil, and the ability to help client teams ship safely into complex customer environments. Infrastructure / SRE Engineers are expected to improve speed and stability at the same time.

At Inviso, we believe great talent should be rewarded with competitive pay, meaningful benefits, and room to grow. The base pay for this role ranges from $115,000 to $175,000 annually, reflecting the cost of labor across multiple US geographic markets. Actual compensation will be determined by factors such as location, job-related skills, experience, education or training, and the needs of Inviso's different lines of business. Beyond base pay, we offer a strong benefits package that includes medical, dental, and vision insurance, a 401(k) plan with company match, annual training reimbursement, paid time off, paid holidays, and additional perks designed to support your well-being and long-term success.

• Our commitment to excellence is interwoven with the way we care about our people. Our low attrition rate, high average employee tenure, and the number of people that have been with Inviso for 10, 15, even 20 years, speaks volumes to who we are as a company.
• We are a meritocracy through and through. Those who excel, grow. There is no ceiling, we don't tolerate politics.
• Inviso has maintained a deep, well-established relationship with Microsoft for over 20 years. We are a top-rated supplier and are proud to be a Managed Partner with many credentials.