Givzey
AI Platform Engineer
United States
Sponsorship not specifiedDetected 14 days ago
PythonGitPostgreSQLRedisElasticsearchVector DatabasesAWSCloud PlatformsDockerTerraformCI/CDGitHub ActionsDevOpsSite Reliability EngineeringPlatform EngineeringRESTMachine LearningLLMsRAGComplianceCustomer Success
About the role
- This is not a "keep the lights on" devops role.
- Who thrives here You're the engineer who gets excited about replacing a manual deployment with a one-click pipeline, automating infrastructure instead of clicking around the AWS console, and designing systems that make the rest of engineering move faster.
- You think in terms of reliability, observability, automation, and repeatability.
Responsibilities
- Interested in building systems that engineers enjoy working in.
- Excited by the challenge of building infrastructure from the ground up rather than inheriting a mature platform.
- You'll partner closely with engineering, ML, and product to design the platform that powers everything from customer-facing APIs to LLM workflows running on Amazon Bedrock and SageMaker.
- You'll actively shape how we deploy software, provision infrastructure, manage AI workloads, and scale the engineering organization.
Nice to have
- This isn't an SRE role focused exclusively on uptime.
- You care about reliability as much as shipping features.
- You enjoy improving developer experience.
- You think systems should become simpler over time.
- You take ownership rather than waiting for someone else to fix infrastructure problems.
- Mindset Strong written communication.
- Comfortable working in ambiguity.
- Curious about modern AI infrastructure and where it's headed.
This listing is sourced directly from Givzey's careers page and normalized into a canonical job model.