Staff Cloud & Infrastructure Architect

datasite; Minnesota; Hybrid; USD 190,000 - 240,000; Full time

Job summary

Datasite hires a Staff Infrastructure Architect to own multi-cloud infrastructure architecture, Kubernetes platform strategy, and high availability for a product-led engineering org of ~250 engineers. The role is a staff-level IC with broad influence and no direct reports, partnering with engineering leaders to plan for growth and ensure production readiness.

This hybrid role, based in Minneapolis or New York City, focuses on acquisition integration, architecture standards, and evaluating AI

Qualifications

• 10+ years in infrastructure or platform engineering with architecture ownership
• Hands-on design/operation across two major cloud providers (AWS, GCP, Azure)
• Strong Kubernetes platform experience (cluster topology, multi-cluster, multi-cloud)
• Experience designing highly available systems (multi-region, multi-AZ, DR)
• IaC experience with Terraform or similar tools
• Ability to anticipate infrastructure and capacity needs before blockers
• Experience influencing technical direction across teams without formal authority
• Direct experience with M&A technical due diligence and post-acquisition integration

Responsibilities

• Own multi-cloud architecture across AWS, GCP, and Azure, including workload placement and network topology
• Design connectivity patterns (VPC/VNet peering, transit, hybrid networking) and balance cost vs. portability
• Own Kubernetes architecture at scale, including clustering, scheduling, autoscaling, multi-tenancy
• Define platform primitives engineers build on and steward IaC foundations
• Design and validate DR, failover, and 99.95% uptime targets, modeling growth and failures
• Partner with engineering teams to translate roadmaps into infrastructure plans 2–3+ quarters ahead
• Support acquisition integration with due diligence, integration blueprints, and migration plans
• Mentor staff engineers on architecture and system design; evaluate AI tooling for infra automation

Skills

Infrastructure/Platform engineering

Multi-cloud (AWS/GCP/Azure)

Kubernetes platform experience

Infrastructure as code (Terraform)

High availability design

Capacity planning & growth modeling

Influencing without authority

M&A technical due diligence

Tools

Terraform

Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Job Description

We are looking for a Staff Infrastructure Architect in our Minneapolis or NYC office to own multi-cloud infrastructure architecture, Kubernetes platform strategy, and high availability across a product-led engineering organization of roughly 250 engineers.

This is a staff level individual-contributor role with broad technical influence and no direct reports. You will partner closely with engineering teams/leaders to anticipate infrastructure needs, shape platform strategy, and ensure the environment is ready for growth before capacity, reliability, or integration challenges become blockers.

The role is highly technical, with a focus on multi-cloud architecture, Kubernetes at scale, infrastructure-as-code, and maintaining a 99.95% uptime target. You will also play a key role in acquisition integration, architecture standards, and evaluating AI tooling that improves infrastructure and operational productivity.

What You'll Do

Multi-Cloud Architecture

• Own multi-cloud architecture across AWS, GCP, and Azure, including workload placement, network topology, resilience, and platform design
• Design connectivity patterns such as VPC/VNet peering, transit, and hybrid networking
• Balance portability, resilience, cloud-native capabilities, and cost
• Establish cloud cost visibility and governance without slowing engineering delivery

Kubernetes & Platform Engineering

• Own Kubernetes architecture at scale, including cluster topology, multi-cluster and multi-cloud strategy, scheduling, autoscaling, and multi-tenancy
• Define the platform primitives engineering teams build on
• Own the infrastructure-as-code foundation, using Terraform or equivalent technologies

High Availability & Reliability

• Design and validate multi-region, multi-AZ, failover, and disaster recovery patterns that support a 99.95% uptime target
• Lead capacity and resilience planning by modeling growth and failure scenarios before they become production issues
• Partner on incident postmortems and drive architectural remediation where needed

Developer Partnership

• Work directly with engineering teams to understand roadmap needs 2-3+ quarters ahead
• Translate upcoming product, traffic, and scaling requirements into infrastructure plans
• Ensure capacity, networking, and platform capabilities are in place before teams are blocked

Acquisition Integration

• Support technical due diligence for acquisition targets, including architecture, technical debt, and integration risk
• Develop integration blueprints and migration plans with a target of onboarding acquired systems within 90 days
• Help determine which acquired systems should be replatformed, integrated, wrapped, or retired

Technical Leadership

• Establish lightweight architecture standards that improve consistency and reliability without creating unnecessary process
• Serve as a technical thought partner to Directors, senior engineers, and platform teams
• Mentor senior and Staff-level engineers on architecture and system design
• Evaluate AI tooling for infrastructure automation, code generation, and operational workflows

What You'll Bring

Must-Have

• 10+ years of infrastructure or platform engineering experience, including significant architecture ownership at scale
• Deep production experience designing and operating across at least two major cloud providers, such as AWS, GCP, or Azure
• Strong Kubernetes platform experience, including cluster topology, multi-cluster strategy, and platform-level architecture
• Experience designing highly available systems, including multi-region, multi-AZ, failover, and disaster recovery
• Strong infrastructure-as-code experience with Terraform or similar tools
• Demonstrated ability to anticipate infrastructure and capacity needs before they become blockers
• Experience influencing technical direction across teams without formal authority
• Direct experience with M&A technical due diligence and post-acquisition system integration

Nice-to-Have

• Experience with enterprise architecture, including data, integration, or security architecture
• Experience supporting AI/ML infrastructure or AI-enabled engineering workflows
• Experience in a PE-backed or acquisition-heavy organization
• Familiarity with enterprise architecture frameworks such as TOGAF

Work Location & Flexibility

This position will be based in our Minneapolis or New York City locations and follows a hybrid work model.