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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, Google Cloud Platform, 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, Google Cloud Platform, 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 & FlexibilityThis 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.
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