Senior Infrastructure Engineer

Rational Dynamics; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Rational Dynamics is building AI-powered reasoning systems for institutional clients, deploying across client clouds, with a focus on security, compliance, and multi-region data residency.

The role collaborates with product, research, and security teams to stand up infrastructure, ensure reliability, and enable rapid prototyping in production environments.

Qualifications

• 7+ years designing and running production cloud infrastructure, 5+ at Senior level or above.
• Depth in AWS or GCP, and hands-on experience with both
• Strong Kubernetes, Terraform, and CI/CD, including GitOps with ArgoCD or similar
• Cloud networking and security: VPCs, private connectivity, IAM, zero-trust access, encryption, secrets, and multi-region deployments with data-residency requirements
• Deployments into enterprise customer clouds in finance, healthcare, defense, or another regulated industry
• Work under SOC 2, ISO 27001, PCI DSS, or a similar control framework
• Core infrastructure built from scratch at an early-stage company, or owned end to end on a small team
• Python and Bash for automation, and daily use of agentic coding tools such as Claude Code
• Clear communication about designs and trade-offs with engineers, scientists, and client security teams, and comfort with shifting priorities

Responsibilities

• Deploy our cloud-native platform into client clouds on AWS, GCP, and Azure, including multi-region and data-residency setups.
• Co-own existing infrastructure in AWS and GCP: EKS, Aurora Postgres, Cloud Run, networking, IAM, secrets, and GitOps delivery
• Run the research platform for evals and training: proprietary, open-source, managed services such as Vertex AI, SageMaker, and Bedrock, with GPU compute and storage infrastructure
• Build CI/CD, observability, and alerting that let a small team ship daily and catch problems before clients do
• Stand up rapid prototypes and harden existing prototypes for production. Give Forward Deployed Engineers tooling to do the same in client environments
• Share compliance (e.g. SOC 2, ISO 27001, CAIQ) and security work so audit evidence comes from how the platform runs
• Contribute to platform development, MLOps, and internal GenAI tools
• Manage infrastructure as code in Terraform, write down the trade-offs behind each decision, and track reliability, uptime, and cost

Skills

Cloud architecture

AWS & GCP

Kubernetes

Terraform

CI/CD

GitOps

Security & SOC 2

Python scripting

Communication

Tools

Kubernetes

Terraform

ArgoCD

AWS

GCP

Job description

The Company

Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity.

The Company

Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity. Our initial market is the world's leading institutional asset owners. We work very closely with these customers to create specialized, rigorous benchmark datasets encompassing their most valuable and difficult knowledge work. Then we use the benchmarks to construct agentic large reasoning models, applying the same rigor to prove that the models correctly do the work. Customers access the models through a tailored application service, making their most skilled, expensive workers dramatically more productive.

We are an early-stage startup. Our founders previously started Voleon, now one of the world's largest systematic investment managers, and recognized as a longstanding industry leader in applied machine learning. They bring to Rational Dynamics the same research discipline and data-driven focus that succeeded in the unforgiving, high-stakes setting of financial markets.

About The Role

Institutional investors want AI for their hardest analytical work, running inside their cloud accounts and regions, under their security and compliance rules. Rational Dynamics builds that AI. Infrastructure decides whether we can ship it: each client brings a different cloud, network, identity provider, and security review. You'll be working across client deployments, internal platform, and the research infrastructure, collaborating with product development and science teams.

What you'll do

• Deploy our cloud-native platform into client clouds on AWS, GCP, and Azure, including multi-region and data-residency setups. Answer the security and architecture questions client IT teams raise
• Co-own existing infrastructure in AWS and GCP: EKS, Aurora Postgres, Cloud Run, networking, IAM, secrets, and GitOps delivery
• Run the research platform for evals and training: proprietary, open-source, managed services such as Vertex AI, SageMaker, and Bedrock, with GPU compute and storage infrastructure
• Build CI/CD, observability, and alerting that let a small team ship daily and catch problems before clients do
• Stand up rapid prototypes and harden existing prototypes for production. Give Forward Deployed Engineers tooling to do the same in client environments
• Share compliance (e.g. SOC 2, ISO 27001, CAIQ) and security work so audit evidence comes from how the platform runs
• Contribute to platform development, MLOps, and internal GenAI tools
• Manage infrastructure as code in Terraform, write down the trade-offs behind each decision, and track reliability, uptime, and cost

What you bring

• 7+ years designing and running production cloud infrastructure, 5+ of them at Senior level or above
• Depth in AWS or GCP, and hands-on experience with both
• Strong Kubernetes, Terraform, and CI/CD, including GitOps with ArgoCD or similar
• Cloud networking and security: VPCs, private connectivity, IAM, zero-trust access, encryption, secrets, and multi-region deployments with data-residency requirements
• Deployments into enterprise customer clouds in finance, healthcare, defense, or another regulated industry
• Work under SOC 2, ISO 27001, PCI DSS, or a similar control framework
• Core infrastructure built from scratch at an early-stage company, or owned end to end on a small team
• Python and Bash for automation, and daily use of agentic coding tools such as Claude Code
• Clear communication about designs and trade-offs with engineers, scientists, and client security teams, and comfort with shifting priorities

Nice to have

• Azure (AKS, VNets, Entra ID, ML/AI) or Oracle Cloud (OCI)
• ML and GPU infrastructure: Kubeflow, Vertex AI, SageMaker, Bedrock, MLflow, Ray, KServe, Slurm
• Infrastructure for LLM and agent systems: model serving, vector databases, and training and eval pipelines
• Workflow tools such as Temporal, Airflow, Argo Workflows, Tekton
• Full-stack or agentic application development, or ML and RL research
• Go or another systems languageA record of running production systems against reliability and uptime targets

Equal Opportunity Employer

Rational Dynamics is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.