Infrastructure Engineer

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, * 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., Build and operate reliable, scalable infrastructure using Terraform, Kubernetes, AWS, and CI/CD automation. Own cloud networking, IAM, secrets, observability, disaster recovery, cost optimization, and platform resilience. Improve deployment practices, eliminate manual toil, lead incident response and postmortems, modernize legacy infrastructure, and partner with engineering teams to deliver secure, reproducible systems. The role is remote with travel to Orlando at least twice annually. Top Skills: Amazon EksAmazon MskAmazon RdsAmazon S3Amazon VpcArgocdAWSAws IamAws LambdaBashDatadogGithub ActionsJavaScriptKafkaKubernetesPostgresPythonRedisTerraformTypescript Headway, Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience. Top Skills: AutoscalingAWSDatadogDockerEcsEksFastapiIamKubernetesLlm InfrastructureNetworkingPythonRdsTerraform Headway

• 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

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, 14 Days Ago In-Office or Remote 223K-279K Annually Senior level 223K-279K Annually Senior level Consumer Web * Healthtech * Professional Services * Social Impact * Software Build and mature Headway’s infrastructure security program across AWS and application platforms. Partner with Product and Infrastructure teams on secure system design, security reviews, platform guardrails, vulnerability remediation, and continuous infrastructure improvement. Support incident response and security operations while advancing AI-native cloud security practices. The role requires strong technical depth, cross-functional collaboration, and the ability to establish secure-by-default engineering practices in an ambiguous, fast-paced environment. Top Skills: Amazon EcsAmazon S3AnthropicAWSAws FargateCloudflareCursorDatadogFastapiGitKubernetesLangsmithPagerdutyPostgresPython 3ReactRedisSemgrepSqlalchemyTypescriptWiz

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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.