Senior Infrastructure & Deployment EngineerIkuto • San Francisco, CA, United States
Senior Infrastructure & Deployment Engineer
Ikuto • San Francisco, CA, United States
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job_description.job_card.job_descriptionStrong background in infrastructure engineering, DevOps, or platform engineering (5+ years). Hands‑on experience with AWS services (e.g., container orchestration, networking, storage, and secrets management). Deep knowledge of Docker and Terraform, plus a passion for automation. Experience working in multi‑environment or multi‑tenant SaaS setups. Familiarity with authentication technologies (OIDC / OAuth / SAML), secrets management, and secure deployment practices. Ability to communicate clearly with both internal teams and enterprise technical stakeholders. Experience supporting deployments into highly regulated or security‑focused organisations. Exposure to on‑prem or hybrid‑cloud software delivery. Understanding of modern backend stacks (Python, FastAPI), databases, or event‑driven systems.
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This range is provided by Ikuto. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$200,000.00 / yr - $200,000.00 / yr
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Co-Founder & Delivery Consultant at Ikuto
$200K + meaningful equity
We’re hiring a Senior Infrastructure Engineer to help build and run the infrastructure behind a next-generation enterprise AI platform. You’ll take ownership of deployment architecture, automation, and reliability across multiple customer environments, working closely with engineering and forward‑deployed teams to ensure smooth delivery of our product at scale.
This is a hands‑on role for someone who enjoys deep technical work, solving complex infrastructure challenges, and shaping how a modern AI platform is deployed into large organisations.
What you’ll be doing
- Designing and operating containerised environments using tools such as Docker and AWS orchestration services.
- Building and maintaining infrastructure‑as‑code modules to automate customer deployments.
- Handling configuration, rollout, upgrades, and troubleshooting across cloud and hybrid environments.
- Diagnosing and resolving high‑impact issues quickly to keep customer projects on track.
- Feeding insights from real implementations back into the product to help improve performance, scalability, and reliability.
- Working with customer engineering teams to ensure deployments align with security and compliance requirements.
What you’ll bring
Nice to have
You’ll be part of a small, fast‑moving team building production‑grade AI technology used by large, well‑known enterprises. We ship quickly, work collaboratively, and value engineers who take ownership and enjoy solving problems that haven’t been solved before.
If you’re excited by the idea of shaping infrastructure for a cutting‑edge AI platform—and want your work to have immediate impact—we’d love to speak with you.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Information Technology & Services and Software Development
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