Head of Infrastructure

Biorce; Austin (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

MacBook provided

Comprehensive health insurance

Hybrid work model

Pet-friendly office

Team events

Job summary

Biorce is seeking a Head of Infrastructure in Austin to evolve our engineering platform from operations to a self‑service, automated platform. You will own a multi‑tenant Kubernetes stack for AI workloads and drive security, observability, and scalable delivery across cloud providers.

Lead the Support, Observability, and Platform teams, partner with engineering, security, and business stakeholders, and ship infrastructure as a product in a regulated, healthtech environment.

Qualifications

• Extensive hands-on Kubernetes in production, multi-tenant clusters and isolation boundaries.
• Proven experience leading infra/SRE teams from operations to platform as a product.
• Strong security instincts for multi-tenant environments and policy enforcement.
• Experience with GCP and AWS and data infra supporting AI workloads.
• Platform engineering mindset with internal developer platforms and self-service tooling.

Responsibilities

• Lead and grow the Support, Observability, and Platform teams into a high‑leverage platform organization.
• Transform operations-centric infra into a self-service, automated platform service model.
• Own a multi-tenant Kubernetes architecture for LLM inference on GPU/TPU across cloud regions.
• Embed security as a core platform capability: tenant isolation, workload identity, secrets, policy-as-code.
• Raise observability and reliability with SLOs, incident response, and capacity governance.

Skills

Kubernetes multi-tenant

Platform engineering

SRE leadership

Security by design

GCP & AWS

GitOps & CI/CD

Tools

Terraform

ArgoCD

GitHub Actions

Prometheus Grafana

Vault

Job description

About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting‑edge technology and real‑world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost‑effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

Following our successful expansion into the U.S. and continued growth across Europe, we are seeking a Head of Infrastructure to help drive our Engineering function from our Austin hub.

Reporting directly to our VP of Digital, this person will lead our Support, Observability, and Platform teams and transform how we operate. They will take us from a strong operations function to a platform-as-a-service environment: self-service, automated, and built so engineering teams ship without waiting on infrastructure.

You’ll own the platform behind Aika, our AI platform for clinical trials: a complex, multi‑tenant Kubernetes environment running LLMs locally on GPU/TPU infrastructure. Security isn’t a checkbox here. Strict tenant isolation is a core architectural requirement, because our customers are pharmaceutical companies trusting us with clinical data.

Who We’re Looking For:

The team you’ll inherit is highly skilled and the foundations are solid. Your mandate is not to maintain them but to evolve them. We’re looking for someone who has taken an infrastructure team from “keeping the lights on” to running a platform as a product. We move like a startup (experiment, build, iterate), but we ship a serious product, and every change goes through the quality and security gates that a regulated healthtech environment demands. This person should be able to make both true at once.

Key Responsibilities:

• Lead and grow the Support, Observability, and Platform teams, elevating a strong team into a high‑leverage platform organization.
• Drive the transformation from operations‑centric infrastructure to a platform service model: self‑service, automation‑first, with golden paths that let product teams deploy, scale, and troubleshoot independently.
• Own and evolve a complex multi‑tenant Kubernetes architecture running LLM inference locally on GPU/TPU workloads across GCP and AWS.
• Make security a first‑class platform capability: tenant isolation, workload identity, secrets management, and policy enforcement designed into the platform, not bolted on.
• Raise the bar on observability and reliability: SLOs, incident response, and proactive capacity management for demanding, data‑intensive AI workloads.
• Partner with engineering, data, security, and customer‑facing stakeholders to shape technical builds, unblock delivery, and translate business needs into platform capabilities.
• Balance speed with rigor: enable fast experimentation while enforcing the quality and security gates our product and customers require.

Requirements

Must‑haves

• 8+ years in infrastructure/platform/SRE roles, including 3+ years leading technical teams.
• A track record of transforming infrastructure organizations: you’ve taken a team from “keeping the lights on” to running a platform as a product.
• Deep hands‑on expertise with Kubernetes in production: multi‑tenant clusters, GPU/TPU scheduling, autoscaling, and hard isolation boundaries.
• Strong security instincts for multi‑tenant architectures: RBAC, network policy, workload identity, secrets, and policy‑as‑code.
• Experience operating across GCP and AWS, and with data infrastructure (SQL, vector databases) supporting AI workloads.
• Platform‑engineering mindset: internal developer platforms, self‑service tooling, automation over toil.
• Strong stakeholder management: you can align engineering, security, and business leaders around a technical roadmap and drive it to done.
• Comfort operating in a startup: pragmatic, bias to build, but disciplined where it counts.

Technical Skills:

• Expert‑level Kubernetes (multi‑tenancy, RBAC, operators, Helm/Kustomize, GPU device plugins, MIG, node pools).
• IaC (Terraform) and GitOps (ArgoCD) as the default operating model.
• CI/CD design and developer enablement (GitHub Actions, GitLab CI, Bitbucket Pipelines).
• Observability stack: Prometheus, Grafana, Loki, OpenTelemetry, and the judgment to turn telemetry into reliability outcomes.
• Container and supply‑chain security, secrets management, and policy enforcement (OPA/Gatekeeper, Kyverno, Vault, GCP Secret Manager).
• GCP services (GKE, AlloyDB, CloudSQL, BigQuery, Cloud Storage).
• GPU/TPU workload optimization: scheduling, bin‑packing, CUDA runtime, cost/performance tuning for local LLM inference.
• Vector databases and data‑layer operations for AI applications.
• Strong Linux and networking fundamentals; scripting in Python/Bash.

Nice‑to‑Haves

• Experience running LLM or ML inference infrastructure at scale (a strong differentiator).
• AWS equivalents of the GCP services above.
• Familiarity with security and compliance frameworks (SOC 2, ISO 27001, ENS, GxP), given our regulated customer base.

Why Join Us?

• A dynamic work environment with an international team, where collaboration and diversity thrive.
• Work alongside top talent, united by a shared purpose and committed to making a real impact.
• Get equipped with a MacBook to enhance your productivity and work experience.
• Benefits package designed to support you and your family's overall well‑being.
• Comprehensive medical, dental, and vision insurance options, effective from your start date or shortly thereafter depending on location.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Company events to celebrate achievements and enjoy time together.
• Our office is pet‑friendly! You’ll likely be greeted by a few wagging tails upon arrival.

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