1 day ago
Minneapolis, MN, USA or New York, NY, USAStaff+
Base Salary
$142k - $248k/yr
Responsibilities
- Own multi-cloud architecture across AWS, GCP, and Azure, including workload placement, network topology, resilience, and platform design.
- Define Kubernetes architecture at scale, including cluster topology, multi-cluster and multi-cloud strategy, scheduling, autoscaling, and multi-tenancy.
- Own the infrastructure-as-code foundation using Terraform or equivalent technologies.
- Design and validate multi-region, multi-AZ, failover, and disaster recovery patterns supporting a 99.95% uptime target.
- Lead capacity and resilience planning and drive architectural remediation following incidents.
- Partner with engineering teams to translate product, traffic, and scaling requirements into infrastructure plans.
- Support technical due diligence and post-acquisition system integration, including migration and replatforming plans.
- Establish architecture standards, mentor senior and Staff-level engineers, and advise Directors and platform teams.
- Evaluate AI tooling for infrastructure automation, code generation, and operational workflows.
Requirements
- 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 with multi-region, multi-AZ, failover, and disaster recovery capabilities.
- Strong infrastructure-as-code experience with Terraform or similar tools.
- Ability to anticipate infrastructure and capacity needs before they become blockers and influence technical direction 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, is preferred.
- Experience supporting AI/ML infrastructure or AI-enabled engineering workflows is preferred.
- Experience in a private-equity-backed or acquisition-heavy organization is preferred.
- Familiarity with enterprise architecture frameworks such as TOGAF is preferred.
Benefits
- Hybrid work model based in Minneapolis or New York City, with at least two on-site days per week.
- Health insurance including medical, dental, and vision coverage.
- Retirement savings plan, paid time off, and other employee benefits.
- The position may be eligible for bonuses, commissions, or overtime if applicable.
Categories
About Datasite
Datasite builds SaaS tools for mergers and acquisitions, centered on secure virtual data rooms, deal preparation, diligence, and marketing workflows. Its platform is used by investment banks, private equity and venture investors, law firms, and corporate development teams to manage confidential documents, automate redaction, track buyers, and run deals. Founded in 1968 and headquartered in Minneapolis, it is privately held and part of CapVest’s portfolio.