Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.
Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.
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Mimica is growing fast, and so is the demand on our Platform Team. As a DevOps / Platform Engineer, you will join a lean but highly capable team that is the backbone of every engineering squad in the company.
We service the entire engineering organisation: keeping environments healthy, unblocking teams, and building the infrastructure that lets everyone else move faster. We’re looking to increase our capacity as demand for our services is growing fast.
On top of the day-to-day demand from other teams, we are taking on some of our most ambitious infrastructure projects yet: expanding to multi-region and single-tenancy environments, supporting BYOC (Bring Your Own Cloud) deployments, migrating our IaC from Terraform to Crossplane, and getting serious about FinOps. This means the work is varied: one day you are debugging an RBAC issue in production, the next you are designing a multi-cloud access pattern from scratch.
We are looking for engineers with either an application development or a systems/infrastructure background.
What matters more than your origin story is your hands-on comfort with Kubernetes, IaC, and cloud platforms, your curiosity, and your ability to collaborate closely with other engineering teams. If you want to work in a place where your contributions are visible, your scope is broad, and the problems are real, this is the role for you.
Support engineering teams across Mimica in developing mature, resilient applications running on GKE, advising on best practices and unblocking issues quickly.
Develop and maintain infrastructure-as-code using Terraform and ArgoCD, as well as Mimica-specific Platform applications written in Python.
Manage and maintain GKE environments across multiple regions (EKS experience is also acceptable), including IAM and identity management on GCP (AWS acceptable).
Investigate and triage issues in existing applications, observe database and system component health, and implement changes to support the SDLC of other teams.
Contribute to migrating our IaC layer from Terraform to Crossplane and support expansion into multi-region clusters and single-tenancy environments.
Drive FinOps initiatives, helping us get visibility into and control over cloud spend across multiple accounts and environments.
Help design and implement access patterns for new BYOC and single-tenancy environments, making it seamless for engineers to navigate an increasingly complex multi-environment landscape.
Instrument, monitor, and improve observability across our stack using tools such as Honeycomb and Grafana.
Solid hands-on experience with Kubernetes, whether on GKE (preferred), EKS, OnPrem, or another managed Kubernetes service. You know your way around cluster configuration, scheduling, RBAC, and debugging live issues.
Proven experience with Terraform as your primary IaC tool. Familiarity with Terragrunt is a plus.
IAM and identity management experience on at least one major hyperscaler: GCP (preferred) or AWS.
Experience with ArgoCD or a comparable GitOps tool for continuous delivery.
Observability experience with at least one major platform: Honeycomb, Datadog, Grafana, or New Relic. You know how to set up meaningful dashboards, alerts, and traces.
Comfortable writing code, particularly Python, to automate platform tasks and build internal tooling.
Background in startups or scale-ups: you are used to ambiguity, moving fast, and wearing multiple hats.
Strong communication and collaboration skills: You can translate infrastructure complexity into clear language for application engineers, and you know when to raise a flag versus just fixing it.
Experience leading and participating in incident responses. You systematically decompose problems and know how to get to the root cause without panicking.
Experience running GPU workloads on Kubernetes, particularly in the context of ML infrastructure.
Familiarity with Crossplane (or strong interest in migrating to it from Terraform).
Experience with Temporal for workflow orchestration.
Hands-on knowledge of Grafana Alloy, Loki, or similar observability tooling in the Grafana ecosystem.
Experience with MongoDB, PostgreSQL, or SQL Server.
Security engineering experience, particularly around hardening Kubernetes environments or supporting compliance initiatives (e.g. SOC 2).
Our process is designed to be practical and respectful of your time. We want to see how you think, not just what you know.
Recruiter Screen (30–45 min) - A conversation with our Talent Partner to explore your background, motivations, and culture fit.
Live Technical Challenge: Triage & Debug (1 h) - A hands-on live challenge with the Hiring Manager and a member of the team.
System Design Interview (1h) - A live session focused on infrastructure design: we will walk through a real architectural problem and discuss trade-offs.
Behavioural Interview (60 min) - A deeper conversation with the Engineering Manager for Platform and our Co-founder & CTO.
Offer & Identity Verification
Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.
Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.
Company-issued laptop, remote setup stipend, and co-working budget
Flexible schedules and location
Ample paid time off, in addition to local public holidays
Enhanced parental leave
Health & retirement benefits
Annual learning & development budget
Annual workaways and regular virtual & in-person socials
Opportunity to contribute to groundbreaking projects that shape the future of work
Note: Some benefits may vary depending on location and role
Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.
