Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Rational Dynamics

Senior Infrastructure Engineer

Rational Dynamics

. Deploy the cloud-native platform into client clouds on AWS, GCP, and Azure, including multi-region and data-residency setups .

Posted 10/7/2026full-timeBerkeley • California • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing and managing production cloud infrastructure across AWS and GCP, with a strong focus on security, compliance, and automation. Proficient in deploying cloud-native platforms, managing infrastructure as code, and collaborating with cross-functional teams to ensure reliability and performance.

Highest-signal resume keywords
AWS Cloud InfrastructureGCP Cloud InfrastructureKubernetes ManagementTerraform Infrastructure as CodeCI/CD Pipeline Development

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Cloud NetworkingSecurity CompliancePython AutomationBash ScriptingGitOps with ArgoCDMulti-Region DeploymentsData-Residency ManagementMLOps PracticesGPU Infrastructure ManagementProduction System Reliability
Soft Skills
Clear CommunicationCollaboration with TeamsAdaptability to Shifting Priorities
Tools & Technologies
EKSAurora PostgresCloud RunVertex AISageMakerBedrockTemporalAirflowArgo WorkflowsTekton
Certifications & Qualifications
SOC 2ISO 27001PCI DSS
Industry Keywords
FinanceHealthcareDefenseRegulated Industry

Tech Stack

Tools & technologies
AirflowAWSAzureCloudGoogle Cloud PlatformKubernetesOraclePostgresPythonTerraformGo

About the role

Key responsibilities & impact
  • Deploy the cloud-native platform into client clouds on AWS, GCP, and Azure, including multi-region and data-residency setups
  • Answer security and architecture questions raised by client IT teams
  • Co-own existing infrastructure in AWS and GCP, including EKS, Aurora Postgres, Cloud Run, networking, IAM, secrets, and GitOps delivery
  • Run the research platform for evaluations and training using proprietary, open-source, and managed services such as Vertex AI, SageMaker, and Bedrock, with GPU compute and storage infrastructure
  • Build CI/CD, observability, and alerting to enable daily releases and detect problems before clients do
  • Stand up rapid prototypes and harden existing prototypes for production
  • Give Forward Deployed Engineers tooling to perform similar work in client environments
  • Share compliance 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
  • Document trade-offs behind infrastructure decisions and track reliability, uptime, and cost
  • Collaborate with product development and science teams across client deployments, internal platform, and research infrastructure

Requirements

What you’ll need
  • 7+ years designing and running production cloud infrastructure, including 5+ years at Senior level or above
  • Depth in AWS or GCP, with hands-on experience with both
  • Strong Kubernetes, Terraform, and CI/CD, 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 with data-residency requirements
  • Experience deploying into enterprise customer clouds in finance, healthcare, defense, or another regulated industry
  • Experience working under SOC 2, ISO 27001, PCI DSS, or a similar control framework
  • Experience building core infrastructure from scratch at an early-stage company, or owning it 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 or Oracle Cloud
  • Nice to have: ML and GPU infrastructure experience
  • Nice to have: Infrastructure for LLM and agent systems
  • Nice to have: Workflow tools such as Temporal, Airflow, Argo Workflows, or Tekton
  • Nice to have: Full-stack or agentic application development, or ML and RL research
  • Nice to have: Go or another systems language
  • Nice to have: A record of running production systems against reliability and uptime targets
  • Legally authorized to work in the United States

Benefits

Comp & perks
  • Potential referral bonus of $7,500 to $15,000 for successfully referring a candidate who is hired and employed by Rational Dynamics