Staff Platform Engineer (Runtime & Security)

Felix is hiring a Staff Platform Engineer (Runtime & Security) in Miami, United States. Level rates it ; you can apply on Felix.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting allows some remote work.
Tools and skills the posting cites include Vertex AI, Ollama and Kubernetes.
Level classifies it as a senior role.
Level lists 145 other open roles at Felix.

AI in this role

Lead platform and security foundations for an internal identity-aware AI teammate and agentic intranet.

Vertex AIOllamaKubernetesGkeDockerGitHubSlack

platform-engineeringruntime-securityidentity-and-access-managementagentic-systemsinfrastructure

About Us
At Félix, we are building the indispensable financial companion for Latinos in the US. We combine an AI-powered, conversational-first interface with real-time financial infrastructure to make cross-border money movement as easy as sending a text. Starting with fast, affordable remittances powered by AI and crypto rails, we are expanding into credit, savings, and wallet services to support the complete immigrant financial journey. Our ambition is to deliver a white-glove financial experience with the simplicity of a conversation to a community the traditional financial system has historically overlooked.
We are a hyper-growth Series C company, backed by over $300 million in funding from top-tier global investors, including Andreessen Horowitz, QED, Castle Island, Switch Ventures, HTwenty, Monashees, General Catalyst Customer Value Fund. This isn't just about the numbers; it's a testament to the trust our investors have in our vision and our team. Additionally, Félix was selected as an “Endeavor Entrepreneur” and was a recipient of the CrossTech Fintech Startups Award.
Joining Félix means you will be part of a team building a legacy, a company that will outlive us all. This is a rare opportunity to apply your skills to a deeply meaningful mission—serving a community that has been underserved for too long because we are obsessed with our customers. We get things done with urgency and focus, driven by extreme ownership over our impact. We collaborate without ego, fostering radical transparency and fierce loyalty so we can grow together. Because we aim for insanely great rather than just good enough, we stay insatiably curious—always experimenting, building the future today, and delivering a product that truly makes our users' lives better.

About the Role

We're looking for a highly technical Staff Platform Engineer to lead the platform and security foundations of Maestro — Félix's internal, identity-aware AI teammate. Maestro already runs at meaningful scale (500+ per-user pods on private GKE) and lives where work happens: Slack, incident rooms, and an emerging agentic intranet, acting across our toolchain (GitHub, Google Workspace, ClickUp, Notion, PagerDuty, New Relic).
The interesting problems here are not prompts or models. Once an AI teammate can open a pull request, page an engineer, or query production, the hard questions become identity, credentials, isolation, blast radius, and audit. This is a platform and security role for an agentic system — you'll own the secure, multi-tenant runtime that makes delegated AI work safe at scale.
You'll be the technical anchor for Maestro's infrastructure and security within the AI team: architecting the control plane, hardening the runtime, running the fleet, and shaping what the platform needs next as adoption grows. AI is the domain you'll operate in — deep platform and security engineering is the craft we're hiring for.

Responsibilities

Own the Maestro platform architecture. Design, build, and operate the multi-tenant control plane and per-user runtime on private GKE — the Kubernetes operators (CRDs/controller-runtime), Helm charts, gVisor-sandboxed pods, and per-user isolation primitives (KSA/GSA, Workload Identity, NetworkPolicy, per-user workspaces) that reconcile one user into a fully wired, isolated environment.
Lead the security model end to end. Treat the LLM and its tools as adversarial. Own identity separation (requester / actor / persona), JIT short-lived scoped tokens, an encrypted OAuth refresh-token vault (CMEK/Cloud KMS), zero-credential egress patterns, and a policy layer that decides whose credentials an agent uses — never the prompt.
Harden service-to-service trust. Enforce mesh identity with Istio mTLS + SPIFFE, signed request claims (JWS) to prevent confused-deputy issues, and deny-by-exception networking across the fleet (Istio AuthorizationPolicy + Kubernetes NetworkPolicy).
Operate the fleet, not the bot. Build fleet health, scale-to-zero, resource packing, and safe operational tooling for 500+ pods, with the SRE-grade availability, latency, and recovery the platform demands.
Own IaC and delivery. Drive Terraform for the dedicated GCP projects (VPC, private GKE, GPU/gVisor node pools, Cloud SQL, Memorystore, GSM, Artifact Registry), plus CI/CD and progressive delivery for control-plane and runtime components.
Make audit a product feature. Own the OpenTelemetry pipeline (logs/metrics/traces) fanning out to Cloud Logging, BigQuery, and New Relic, capturing gateway, kernel/gVisor syscall, and real-time SecOps events so "who asked, which persona acted, which credentials were used, did the user confirm?" is always answerable.
Enforce human-in-the-loop and guardrails. Build the approval flows for irreversible actions (writes, merges, admin ops) and the read-only, model-immutable guardrail mounts (identity, instructions, curated skills).
Integrate the agent layer, safely. Partner on the OpenClaw gateway, controlled tool wrappers, and model routing (Vertex AI for stakes, self-hosted Ollama for volume) — ensuring every agent capability is a governed capability, not a raw CLI or API key.
Set the technical direction. Define platform and security best practices, mentor senior and mid-level engineers, and map Maestro's next infrastructure needs as it scales.

Requirements

Experience: 8+ years in software/infrastructure engineering, with a proven track record owning large-scale, security-critical distributed systems end to end.
Platform & Kubernetes mastery (Staff bar): Deep, hands-on Kubernetes in production — operators/CRDs and controller-runtime, Helm, runtime isolation (gVisor or equivalent), multi-tenancy, and fleet operations at scale. Strong cloud-native architecture on GCP (or AWS/Azure), and IaC with Terraform.
Security & identity depth (Staff bar): Strong applied security engineering — workload identity (SPIFFE/SPIRE, Workload Identity Federation), service mesh mTLS (Istio), OAuth 2.0 / OIDC, token exchange, JIT/short-lived scoped credentials, secrets/KMS envelope encryption, least-privilege and zero-trust patterns, and threat modeling for adversarial workloads (confused-deputy, prompt injection, data exfiltration).
Systems & code: Excellent Go and/or Python, with deep system-architecture judgment. Comfortable owning services, operators, and tooling in production.
Observability & LLMOps: Production-grade monitoring, tracing, and audit design (OpenTelemetry), plus SRE fundamentals — SLOs, incident response, cost/performance engineering.
Ownership & leadership: High autonomy in an early-stage squad — independently diagnose bottlenecks, propose architecture, and ship it. Proven ability to grow engineers through architectural guidance, not just code review, and to align technical decisions with stakeholders across Product, Security, and Leadership.
Nice to Have — AI Exposure: Prior hands-on experience with agentic systems or LLM infrastructure is a plus, but strong platform and security fundamentals take priority.
These are the applicable requisites, although equivalent competencies in any of the above will also be considered.

What We Offer

Competitive salary
Initial stock options grant
Annual performance bonus
Health, dental, and vision plans
401(k) with employer match
Continuous learning opportunities
Unlimited PTO
Paid parental leave
Empowering opportunities for growth in a dynamic entrepreneurial environment

What We Offer

Competitive salary
Initial stock options grant
Annual performance bonus
Health, dental, and vision plans
Remote work environment, although we have offices in Miami and México City and would love to work in hybrid model if you are up to it.
Continuous learning opportunities
Unlimited PTO
Paid parental leave
Empowering opportunities for growth in a dynamic entrepreneurial environment

Equal Opportunity Employer
At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.
Want to learn more about our privacy practices? Check out our Privacy Policy.

How we rate this

Staff Platform Engineer (Runtime & Security) at Felix rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Staff Platform Engineer (Runtime & Security) is an open job at Felix.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Miami, United States and is marked remote.
The job was posted on June 25, 2026.
Seniority: senior.
Applications are handled by Felix. Apply on Felix

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Platform EngineeringRuntime SecurityIdentity And Access ManagementAgentic SystemsInfrastructureVertex AIOllamaKubernetes

Questions you could be asked

Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where runtime security was part of your work. What did you do?
Tell me about a project where identity and access management was part of your work. What did you do?
Tell me about a project where agentic systems was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Platform Engineering, Runtime Security, Identity And Access Management, Agentic Systems, and Infrastructure. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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