Distyl AI
Infrastructure Engineer, Customer Delivery
San Francisco · Senior
Sponsorship not specified$200k-$250kDetected 8 days ago
PythonGoAWSGCPAzureDockerKubernetesCI/CDSite Reliability EngineeringPlatform EngineeringIncident ResponseSupply ChainResearchCollaborationMentoring
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI.
- As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
- Scope will reflect your experience, from leading complex deployments to setting technical direction across teams.
Responsibilities
- Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries.
- Support private registries, restricted egress, offline installs/upgrades, and alternatives to cloud-managed dependencies.
- Validate compatibility and recovery within customer change controls
- Automation mindset. Turn recurring delivery friction into shared automation. Build provisioning services, controllers, and reusable deployment APIs in Python or Go to make future deployments faster and more reliable
- Implement network segmentation, data-residency controls, and audit trails with security and infrastructure partners.
- Own infrastructure incident resolution in assigned environments, coordinating with relevant engineering owners.
- Use incident and deployment data to improve reliability, runbooks, and support handoffs
- Hosted infrastructure. Build and operate tenant isolation, provisioning, quotas, autoscaling, metering, and cost attribution for Distyl-hosted deployments, in partnership with platform engineering
- AI runtime infrastructure. Partner with Runtime on agent sandboxing, workload identity, scoped credentials, network controls, and resource limits across supported deployments
- AI-assisted engineering. Build agent-assisted workflows for environment checks, troubleshooting, and infrastructure changes. Scope access, verify outputs, and measure improvements in delivery effort and reliability
Requirements
- 7+ years of experience in infrastructure engineering, cloud engineering, SRE, or related technical delivery roles
- 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
- 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
- Experience setting technical direction and leading adoption of reusable systems and standards across teams is especially valued
Nice to have
- On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies
- Deep production experience in AWS, Azure, or GCP, plus working experience in a second cloud
- Preferred: On-premises installs/upgrades, offline operation, or replacing cloud-managed dependencies
- Preferred: Agent sandboxing or technical AI governance, including model access, routing, data-handling, and audit controls
Compensation
- The base salary range for this role is $200,000-$250,000, depending on experience, location, and level.
Benefits
- In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
- 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
- Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
Company info
- Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early - Production security and reliability.
- Customer relationships and communication. Build trust, clarify requests, explain tradeoffs, and own commitments through production acceptance. Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers
- Keep customers and developers aligned on readiness, upcoming changes, dependencies, and blockers; escalate risks early
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This listing is sourced directly from Distyl AI's careers page and normalized into a canonical job model.