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SeniorFull-timeAWSKubernetesDockerMicroservicesCI/CDGoAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior AI/ML Platform Engineer to build the foundations that make AI capabilities shippable and reliable at scale. This role owns the platform patterns, deployment workflows, and operational standards that enable teams to move from prototype to production safely and repeatedly.
Key Responsibilities
- →Build and improve CI/CD workflows for ML/AI services across development, staging, and production environments
- →Establish reusable service templates and “golden path” patterns for AI microservices
- →Design and operate orchestration patterns for batch and online workloads on AWS
- →Define operational standards for AI services: monitoring, alerting, SLOs, runbooks, incident readiness, and rollback strategies
- →Partner with applied AI and research teams to productionize prototypes into stable services
- →Influence platform architecture and engineering standards across a growing Applied AI team
Requirements
- ✓7+ years of experience in software engineering, platform engineering, ML engineering, or a closely related role
- ✓Demonstrated experience designing and operating CI/CD pipelines and release processes
- ✓Strong AWS experience (compute, storage, networking, deployment, monitoring)
- ✓Experience with containers and modern deployment patterns (Docker required; Kubernetes or equivalent is a plus)
- ✓Experience with orchestration and workflow tooling (Airflow, Dagster, Argo, Step Functions, or similar)
- ✓Strong operational mindset and experience supporting production systems
- ✓Ability to set pragmatic standards, work through ambiguity, and collaborate across teams
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