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What you will do
- Architecture ownership. Own portable reference architectures across Distyl-hosted, customer VPC, and on-premises deployments, with clear control-plane/data-plane boundaries. Distinguish necessary customer adaptations from avoidable variation across AWS, Azure, and GCP. Integrate identity, networks, data, and model providers with appropriate access, routing, and audit controls
What you need
What we are looking for
We're hiring a hands-on Infrastructure Engineer to lead cloud architecture and delivery of Distyl's AI platform across Distyl-hosted, customer VPC, and on-premises environments. You'll partner with customers, platform engineering, and forward-deployed AI engineers from discovery through production. Scope will reflect your experience, from leading complex deployments to setting technical direction across teams.
You'll translate complex customer architectures and requests into working infrastructure, building reusable patterns and automation that make each launch easier.
You'll own customer deployments end to end and help shape a growing delivery team's practices. Success means faster launches, reliable operations, and less repeated work as deployments scale.
Who you are
- 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. You build trust, clarify requirements, negotiate scope, and keep stakeholders aligned
- 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. You balance speed with reliability, handle upgrades and stateful changes carefully, and verify AI-assisted work
- Technical leadership. You lead complex deployments independently. Experience setting technical direction and leading adoption of reusable systems and standards across teams is especially valued
- Strongly preferred: Building or scaling infrastructure delivery and operations across enterprise customer environments, including production deployments across multiple clouds
- 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
Pay and benefits
- The base salary range for this role is $200,000-$250,000, depending on experience, location, and level. 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
- 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
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.
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. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. 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.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s.
Legal notes
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.
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Source: the Distyl AI Ashby job board. We last checked this job 17 h ago. We first saw it 6 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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