Founding Product Infrastructure Engineer

About the role

This role defines how infrastructure supports autonomous AI agents in production across diverse workloads. It owns the end-to-end backbone that makes critical AI workflows reliable, observable, and adaptable. The position shapes databases, deployment, and operations so complex services can run on a shared foundation.

Platform and DevOps engineers build the systems that run everything else. They manage infrastructure, CI/CD pipelines, observability, and reliability. The work is about automation, scaling, and removing friction for product teams. Systems thinking is the core skill. Platform teams are measured by developer velocity and system reliability. Most companies run on-call rotations, and understanding incident response is part of the role.

Key facts

What you'll do

Deployment and environment strategy is continuously evolved so CI/CD, isolation, rollout methods, and recovery keep changes reversible, observable, and resilient across variable loads. Infrastructure growth is planned to map a pragmatic 12-24 month evolution that supports multi-vertical workflows, from low-latency real-time to long-running, stateful, and failure-prone jobs.

Requirements

Production systems on a major cloud provider are operated for 4+ years, with GCP as the primary platform and AWS or Azure as strong complements. Infrastructure is automated through infrastructure-as-code and CI/CD, such as Terraform and GitHub Actions, with proven ownership of real production environments. Production databases are run and tuned, with hands-on experience in migrations, slow query resolution, connection limits, and performance regressions, supported by preventative processes. Observability is driven using modern tools like Datadog, with an opinionated focus on measuring what matters while filtering noise. Security and reliability are applied through IAM, networking, service-to-service authentication, and an understanding of systems that customers depend on. Infrastructure is treated as a product, prioritizing explicitly, making tradeoffs transparent, measuring impact, and iterating based on evidence rather than theoretical ideals.

Practical notes

Typical interview steps

Platform interviews usually include an infrastructure scenario, a scripting or coding exercise, and operational questions. Candidates may be asked to design a deployment pipeline or debug an outage. Incident experience and an automation mindset are tested. Interviewers often ask about a past outage and how you handled it. Structured post-incident thinking, not heroics, is what they look for.

Good to know

The role works with frontier AI in the physical economy, serving essential services that form the backbone of the American economy. Team members come from leading builders and institutions such as Scale, Databricks, HRT, Meta, and top universities including MIT, Stanford, and Harvard. The work spans varied traffic patterns and workflows, balancing low-latency real-time needs against long-running, stateful, and failure-prone jobs. The role emphasizes product-minded infrastructure, craftsmanship, first-principles thinking, and iterative refinement rather than chasing theoretical perfection.

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Platform careers grow from engineer to senior, staff, and platform lead roles. Some people move into SRE leadership or cloud architecture. Breadth across networking, storage, and reliability becomes more important at senior levels. Platform careers reward breadth and calm under pressure. Experience automating your own work is the strongest signal for senior roles.

About the company

Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America.