Staff Cloud & Infrastructure Architect

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office
142K-248K Annually
Expert/Leader
Software
We empower dealmakers around the world with the tools they need to succeed across the entire M&A journey.
The Role
Own multi-cloud infrastructure architecture across AWS, GCP, and Azure, including Kubernetes platform strategy, infrastructure-as-code, networking, high availability, disaster recovery, and capacity planning. Partner with engineering teams on future infrastructure needs, support acquisition due diligence and integration, establish architecture standards, mentor senior engineers, and evaluate AI tooling for infrastructure operations. The role targets 99.95% uptime and requires hybrid work in Minneapolis or New York City.
Summary Generated by Built In

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.

 

Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.

 

Get started now, we look forward to meeting you..

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 DoMulti-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 BringMust-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. Employees in these locations are expected to work on-site a minimum of two days per week.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

$141,700.00 - $247,700.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Skills Required

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

DataSite Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DataSite and has not been reviewed or approved by DataSite.

  • Healthcare Strength Health coverage is described as comprehensive, including medical, dental, vision, mental‑health resources, and an employee assistance program. Feedback suggests these offerings align with mainstream expectations for mid‑size SaaS employers.
  • Retirement Support A 401(k) with employer match is consistently referenced, with some mentions of immediate vesting. Feedback suggests the retirement program is competitive relative to common market practices.
  • Leave & Time Off Breadth Paid time off is characterized as meaningful, including paid holidays, sick time, and generous PTO ranges, with certain business units citing unlimited PTO and notable parental leave. Feedback suggests time off is a valued and frequently cited strength.

DataSite Insights

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The Company
HQ: Minneapolis, MN
821 Employees
Year Founded: 1968

What We Do

Datasite the maker of Datasite Diligence virtual data room platform, helping dealmakers around the world close more deals faster.

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