Rational Dynamics Logo

Rational Dynamics

Senior Infrastructure Engineer

Posted 8 Days Ago
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
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.
The summary above was generated by AI
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.

Similar Jobs

4 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
150K-185K Annually
Senior level
150K-185K Annually
Senior level
Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Designs and evolves AWS infrastructure as code using CDK, develops backend software primarily in TypeScript, and applies secure engineering practices for regulated environments. The role contributes to architecture, code reviews, CI/CD pipelines, production support, observability, and on-call operations. It collaborates cross-functionally, builds scalable and reusable systems, supports SOC 2 compliance, and uses AI coding assistants to improve development, testing, and documentation.
Top Skills: AWSAws CdkC#Ci/CdClaude CodeCursorGitIamRoute53Security GroupsSoc 2TypescriptVpc
3 Hours Ago
Remote or Hybrid
USA
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Develop and operate a large-scale internal cloud management platform. Build APIs, UIs, CI/CD pipelines, and developer productivity tools using Go and TypeScript. Maintain Temporal and Argo Workflows pipelines, integrate development tooling, improve SDLC efficiency, support SOC 2 compliance, and collaborate with engineering, security, infrastructure, and SRE teams. Participate in on-call operations and apply AI technologies to improve workflows and decision-making.
Top Skills: AlertmanagerArgo CdArgo WorkflowsCi/CdDebianDockerGoGoreleaserGrafanaHelmJavaScriptJenkinsKubernetesKustomizeLinuxPrometheusPulumiPypiTemporalTerraformTypescript
Yesterday
Easy Apply
In-Office or Remote
Easy Apply
135K-205K Annually
Senior level
135K-205K Annually
Senior level
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.
Top Skills: AWSAzureGCPGoKafka

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account