Senior Infrastructure Engineer

Posted Yesterday
2 Locations
Remote or Hybrid
Senior level
Financial Services • Generative AI
Rational Dynamics builds customized AI reasoning systems for tasks of high cognitive complexity.
The Role
Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.
Summary Generated by Built In
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 language

  • A record of running production systems against reliability and uptime targets

“Friends of Rational Dynamics” Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 to $15,000 if your referred candidate is successfully hired and employed by Rational Dynamics, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Rational Dynamics Referral Bonus Program.

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.

Skills Required

  • 7+ years designing and running production cloud infrastructure
  • 5+ years at Senior level or above
  • Deep expertise in AWS or GCP with hands-on experience with both
  • Strong Kubernetes, Terraform, and CI/CD experience, including GitOps with ArgoCD or similar
  • Experience with cloud networking and security, including VPCs, private connectivity, IAM, zero-trust access, encryption, secrets, and multi-region deployments
  • Experience deploying into enterprise customer clouds in finance, healthcare, defense, or another regulated industry
  • Experience working under SOC 2, ISO 27001, PCI DSS, or similar control frameworks
  • Experience building core infrastructure from scratch at an early-stage company or owning infrastructure end to end on a small team
  • Python and Bash automation experience
  • Daily use of agentic coding tools such as Claude Code
  • Clear communication with engineers, scientists, and client security teams; comfort with shifting priorities
  • Experience with Azure, including AKS, VNets, Entra ID, or ML/AI
  • Experience with Oracle Cloud OCI
  • Experience with ML and GPU infrastructure, including Kubeflow, Vertex AI, SageMaker, Bedrock, MLflow, Ray, KServe, or Slurm
  • Experience with infrastructure for LLM and agent systems, including model serving, vector databases, and training or evaluation pipelines
  • Experience with Temporal, Airflow, Argo Workflows, or Tekton
  • Full-stack, agentic application development, ML, or RL research experience
  • Go or another systems programming language
  • Record of running production systems against reliability and uptime targets
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The Company
7 Employees
Year Founded: 2025

What We Do

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.

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