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Mimica

AI-powered task mining for enterprise automation

Head of Platform - Infrastructure & DevOps

Platform Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Proven experience leading engineers, ideally including managing a team lead or other managers, and growing a team through hiring and sub-team design.
  • Solid hands-on experience with Kubernetes across multiple regions, whether on Google Kubernetes Engine, Amazon Elastic Kubernetes Service, on-premises, or another managed Kubernetes service; Google Kubernetes Engine is preferred.
  • Proven experience with infrastructure-as-code as a core part of a platform, such as Terraform, and with ArgoCD or a comparable GitOps tool.
  • A track record in owning reliability, including setting service-level objectives and service-level agreements, running on-call, leading incident response and postmortems, and testing disaster recovery.
  • Observability experience with at least one major platform: Honeycomb, Datadog, Grafana, or New Relic.
  • Comfort with code and the ability to review architecture and prototypes hands-on.
  • Experience owning an infrastructure budget, including cloud cost attribution, forecasting, and cloud-provider relationships.
  • Experience designing deployment models for enterprise customers, including single-tenant, regional, and data-residency models, and supporting security reviews and contracted service-level agreements.
  • Background in startups or scale-ups, with experience working through ambiguity, moving quickly, and handling varied responsibilities.
  • Ability to translate infrastructure complexity clearly for engineers, executives, and clients, and to make decisions about bespoke requests.

Responsibilities

  • Own Mimica's infrastructure strategy and platform roadmap across all products, making final decisions on cloud architecture, deployment models, infrastructure vendors, and platform standards.
  • Lead and grow the Platform team by managing existing Platform and Site Reliability Engineers, planning headcount, setting goals and metrics, and designing the sub-team structure as the team grows.
  • Own all AI infrastructure, including training and serving infrastructure, MLOps tooling, Vertex, and model access.
  • Maintain the developer experience culture by improving agency for product teams without compromising compliance, creating paved roads for deployments, and identifying pain points.
  • Own the infrastructure and large language model budget, forecasting and unit economics, including cost attribution by product and customer and the Google Cloud Platform relationship.
  • Own reliability across engineering, including service-level objectives, the on-call model, incident processes, postmortems, disaster recovery testing, and capacity planning.
  • Own continuous integration and continuous delivery and the developer platform, infrastructure-as-code using Terraform, ArgoCD, and Crossplane, and observability standards using Honeycomb, Grafana, and Loki.
  • Work with the Platform product manager to define client needs and translate them into the platform roadmap.
  • Act as the named technical owner for infrastructure in enterprise deals and security reviews, join high-stakes sales and client calls, and coach the team to handle other calls.
  • Guide craft mentors for infrastructure, MLOps, and Python engineering, and set engineering-wide standards for reliability, on-call, continuous integration and delivery, and craft.
  • Report monthly platform health and costs to leadership, and lead the infrastructure component of technical due diligence.

Desired Qualifications

  • Familiarity with Crossplane or a similar product such as Config Connector.
  • Experience with Temporal for workflow orchestration.
  • Security and compliance experience, particularly supporting SOC 2.
  • Experience supporting a funding round, including technical due diligence.

About the Company

Mimica

AI-powered task mining for enterprise automation

Mimica provides an AI-powered task mining and process intelligence platform for large enterprises to improve operational efficiency. It watches how people work on their computers by analyzing clicks and keystrokes to automatically generate detailed process maps; Miner identifies and prioritizes automation opportunities by ROI, while Mapper creates blueprints for developers to build automation solutions, and the system suggests the best technology (RPA, GenAI, or intelligent document processing) for each opportunity. The platform differentiates itself with desktop-level observation that turns actions into actionable process maps, ROI-driven prioritization, and a combined Miner–Mapper toolkit backed by a UiPath partnership and independent analyst recognition. Its goal is to reduce costs and increase workforce productivity by automating repetitive digital tasks so employees can focus on higher-value work.

Company size
201-500
Company stage
Series B
Total funding
$26.6M
Headquarters
London, United Kingdom
Founded
2018

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