Forward Deployed Infrastructure Engineer

_* Sirius
San Francisco, CA, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Cloud Computing DevOps Domain Name System (DNS) Identity and Access Management Systems Integration Load Balancing Large Language Models Amazon Virtual Private Cloud (VPC) Kubernetes Infrastructure Automation Frameworks Deployment Automation
+3 more
Machine Learning Operations Terraform Data Pipelines

Job description

  • Own deployment architecture conversations and execution - designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning
  • Manage the full infrastructure lifecycle for our most critical subscription platform customers: initial deployment, ongoing upgrades, scaling, and incident support
  • Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable as we grow
  • Partner with our engineering team to ensure our agent platform is deployable and operable across diverse customer tech stacks and compliance requirements
  • Work directly with customers’ platform engineering, security, and DevOps teams to navigate their infrastructure constraints - particularly in regulated industries where subscription data is sensitive
  • Collaborate with Sales and Customer Success during pre-sales and onboarding to scope infrastructure requirements and translate customer needs into concrete deployment plans

Requirements

Problem Solving Skills, Customer Support/Service, Artificial Intelligence (AI) Agents, LifeTime Value (LTV), Consumer Branding, Customer Retention/Renewal, Artificial Intelligence (AI), Scholarship, Automation, Machine Tool, * + 1 year in infrastructure, DevOps, platform engineering, or solutions architecture - with significant time spent on customer-facing deployment work

  • Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing)
  • Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes
  • Ability to work with enterprise stakeholders across the spectrum - from platform engineers to CISOs - and turn infrastructure conversations into actionable deployment plans
  • Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from day one, not as an afterthought
  • Comfortable working in a fast-moving seed-stage environment where the process is still being written - and excited to be the one writing it

Nice to Have:

  • Experience deploying AI/ML workloads or LLM-based products into enterprise environments
  • Familiarity with subscription platform infrastructure (billing systems, CRM integrations, data pipelines)
  • Prior experience at an early-stage startup where you wore multiple hats across infra and engineering

About the company

We’re on a mission to make subscriber churn a solved problem. Backed by a16z Speedrun, we build AI agents that help consumer subscription brands - like Higgsfield and Promova - retain more users, extend lifetime value, and grow fast. We’re an incredibly driven team working on a problem that affects every consumer on the planet. If that sounds like your kind of thing, we’d love to meet you.

Our co-founders are Azamat Khamidov and Benazir Toleubekova. Azamat built a Telegram AI product from zero to five million users in four months, the first acquisition inside Telegram. Benazir received a full scholarship to Beijing University of Technology at 15. Joined Taobao at 17. At Alibaba, architected the core recommendation engine serving 500M daily users.

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