Infrastructure Engineer, Customer Delivery

The role

You will lead cloud architecture and delivery of the Distyl AI platform across Distyl-hosted, customer VPC, and on-premises environments. You will translate customer architectures into working infrastructure and build reusable automation patterns.

What you will do

• Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments
• Deploy and upgrade Distyl's platform using infrastructure as code, Docker, Kubernetes, and shared CI/CD tooling
• Build provisioning services, controllers, and reusable deployment APIs in Python or Go
• Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance
• Implement network segmentation, data-residency controls, and audit trails
• Establish SLOs, observability, actionable alerts, and tested disaster recovery
• Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for hosted deployments
• Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits
• Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes
• Set delivery standards, mentor engineers, and help build the delivery team's technical practices

Required qualifications

• 7+ years of experience in infrastructure engineering, cloud engineering, SRE, or related technical delivery roles
• Deep production experience in AWS, Azure, or GCP, plus working experience in a second cloud
• Customer-facing engineering experience with direct responsibility for technical delivery and stakeholder communication
• Hands-on experience with networking, IAM, Docker, Kubernetes, and observability, including workload identity, scoped credentials, and resource limits
• Proven experience writing and maintaining production infrastructure as code
• Strong production Python or Go experience building reusable infrastructure software, such as provisioning services, controllers, or deployment APIs
• Experience operating hosted infrastructure with tenant isolation, provisioning, capacity controls, and usage/cost visibility
• Experience turning customer requirements into production architectures, with clear control-plane/data-plane boundaries, CI/CD, and identity, network, and data integrations
• Experience delivering under strict access, network, security, and change controls, including private registries or restricted egress
• Experience implementing network segmentation, data-residency controls, audit trails, SLOs, disaster recovery, and incident response
• Strong troubleshooting and automation skills

Nice to have

• Building or scaling infrastructure delivery and operations across enterprise customer environments, including production deployments across multiple clouds
• On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies
• Agent sandboxing or technical AI governance, including model access, routing, data-handling, and audit controls

Benefits

• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible time off
• Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
• Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
• Complimentary in-office lunches and snacks provided
• Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
• Ownership of high-impact projects across top enterprises
• A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence

About the company

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Their work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows.