Infrastructure / SRE Engineer - USA

Inviso; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Inviso is partnering with a client to hire an experienced Backend / Platform Engineer for a fully remote, permanent position. The engineer will design, build, and operate cloud infrastructure and reliability capabilities to enable platform teams to ship safely and consistently.

The role emphasizes landing zones, IaC, Kubernetes, CI/CD, observability, incident response, and cost optimization. The ideal candidate is hands-on, automation-minded, calm under pressure, and capable of owning systems in

Qualifications

• Production cloud infrastructure experience with reliability ownership.
• Infrastructure-as-code, landing zones, networking, identity, security, and environment management.
• Kubernetes, containerized workloads, CI/CD pipelines, and automated deployment practices.
• Observability using metrics, logs, traces, dashboards, alerting, and actionable operational signals.
• Define or support SLOs, reliability practices, incident response, postmortems, and on-call operations.

Responsibilities

• Design, build, and operate cloud infrastructure and platform reliability.
• Ensure repeatable, scalable systems that reduce toil and improve delivery speed.
• Collaborate with client teams to ship safely into complex environments.

Skills

Production cloud infra

Infrastructure as code

Kubernetes

CI/CD pipelines

Observability

Automation scripting

SRE incident response

Cost optimization

Tools

Azure

Terraform

Bicep

GitHub Actions

Azure DevOps

Azure Arc

Job description

Inviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.

The 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.

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.