Senior Infrastructure Engineer

Rational Dynamics

36d

About The Position

As a Senior Infrastructure Engineer, you will design and build cloud infrastructure that powers Rational Dynamics' AI platform and customer deployments. Reporting to the Director of Software Engineering, you will join a small, fast-moving team. Your job is to build high impact systems to accelerate our systems that accelerate research and customer deployments across domains including model training, data acquisition and curation, cloud orchestration, and security. You will also flex beyond pure infrastructure when the situation calls for it, supporting research iteration, customer deployments, and security needs as they arise. This role is a means to make a difference: the infrastructure you build and maintain will determine whether Rational Dynamics can deliver high cognitive complexity systems that enterprises trust to drive their most critical workflows. We are building a team of people motivated by the future of speed and productivity that will be unlocked that agentic AI will unlock high complexity domains.

Requirements

• Proven experience designing and deploying reliable production infrastructure
• 5+ years of experience designing and operating cloud infrastructure in production across multiple cloud providers (AWS, GCP, Azure)
• Strong command of Kubernetes, Terraform, and modern CI/CD tooling
• Security-conscious mindset with experience navigating enterprise compliance requirements such as SOC 2 or equivalent
• Strong programming skills, with experience building infrastructure tooling in Go or an equivalent systems language
• Familiarity with data pipeline tooling for batch and long-running workflows (e.g. Airflow, Temporal, etc.)
• Comfort operating on a small team with dynamic requirements, threading the needle of speed and scalability, willing to take any task critical to customers and the team

Nice To Haves

• Prior experience in a regulated or high-consequence industry such as finance, healthcare, or defense strongly preferred
• Experience supporting GPU or ML-specific infrastructure workloads
• Experience deploying solutions in enterprise customer cloud environments
• Experience building infrastructure for the training and deployment of AI agents
• Prior early-stage or small-team experience where you made critical end-to-end infrastructure decisions

Responsibilities

• Own, extend, and improve cloud infrastructure that powers both production customer systems and internal research platforms, including compute, networking, storage, and deployment environments
• Build and maintain CI/CD pipelines, developer tooling, and observability that keep the team shipping fast and catching problems early
• Support GPU workloads and ML infrastructure needs in close collaboration with the research & ML team
• Drive security posture and compliance efforts, including standards relevant to enterprise customers such as SOC 2
• Build deployment and operations infrastructure that enables Forward Deployed Engineers to reliably build solutions quickly in heterogeneous enterprise cloud environments
• Make pragmatic, well-reasoned infrastructure decisions that balance speed now with scalability later
• Continuously improve system reliability, deployment simplicity, uptime, and cost efficiency through monitoring, feedback loops, and disciplined engineering

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed