Staff/Lead Platform/DevOps Engineer - Mimica

What we are building

Mimica is an AI-powered process intelligence platform enabling enterprises and individuals to reclaim their most precious resource: time. We've all seen repetitive tasks and redundant processes quietly drain productivity and creativity. Not because companies don’t want to become more efficient, but because they don’t know where to start.

Mimica automatically analyzes your team’s work, then generates the AI agents to execute it. Our software turns everyday work into data-backed decisions, helping companies remove process bottlenecks, automate the right tasks, and upskill teams with precision and confidence.

We’ve raised $26 million in Series B financing and are scaling fast. Backed by investors including Khosla Ventures and Paladin Capital, our proprietary AI technology is trusted by Fortune 500 companies to accelerate transformation. Mimica is recognized as a Top 100 AI Start-up by Accel and an industry Leader by the Everest Group.

Your mission

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.

Part of your day-to-day

• 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.
• Participate in a scheduled on-call rotation to monitor system health, respond to incidents, and ensure high platform availability.
• 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.

Requirements / What we're looking for

• Solid hands-on experience with Kubernetes, whether on GKE (preferred), EKS, OnPrem, or another managed Kubernetes service.
• 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.
• Comfortable writing code, particularly Python, to automate platform tasks and build internal tooling.
• Background in startups or scale-ups: used to ambiguity, moving fast, and wearing multiple hats.
• Strong communication and collaboration skills.
• Experience leading and participating in incident responses.

Bonus / Nice to have

• 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).

Hiring process

1. Recruiter Screen (30–45 min) - Background, motivations, and culture fit.
2. Live Technical Challenge: Triage & Debug (1 h) - A hands-on live challenge with the Hiring Manager and a team member.
3. System Design Interview (1h) - Focused on infrastructure design and trade-offs.
4. Behavioural Interview (60 min) - Conversation with the Engineering Manager for Platform and our Co-founder & CTO.
5. Offer & Identity Verification