Cybernetic Labs · San Francisco
Software EngineeringEngineering, Product, and DesignFullTimeposted 7mo ago
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. There are now companies operating entirely AI-first on Netic.
You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.
As a Founding Product Infrastructure Engineer, you’ll own and evolve the backbone that powers our autonomous AI agents in production. What makes this role different at Netic is the shape of the problem. You are not building infrastructure for a single product or a single industry. You are building a shared foundation that must support very different workflows and traffic patterns across multiple verticals. Some requests are low latency and real time. Others are long running, stateful, and failure prone. The same system needs to handle spikes, partial failures, and external dependencies without becoming fragile or hard to reason about.
You’ll work closely with product and application engineers to make infrastructure a force multiplier: fast to change, reliable under load, and designed with clear tradeoffs. If you enjoy building systems from first principles, operating them in the real world, and setting standards others will build on, this role is for you.
Define deployment and environment strategy
Own CI/CD, environment isolation, rollout strategies, and failure recovery. Ensure deploys are boring, reversible, and observable.
Own databases and performance at scale
Help determine how our databases should be structured, operated, and evolved. Establish processes around migrations, slow query analysis, connection management, and capacity planning.
Raise the operational bar
Define best practices around reliability, security, incident response, and operational hygiene—and help the rest of the team adopt them.
Plan for growth, not just today
Make pragmatic decisions for our current stage while clearly mapping how infrastructure will evolve over the next 12–24 months as usage, customers, and workloads scale.
Strong infrastructure foundations
4+ years operating production systems at scale on a major cloud provider (we use GCP today; AWS or Azure experience is great too).
Infrastructure automation expertise
Deep experience with infrastructure-as-code and CI/CD (Terraform, GitHub Actions, or similar), including ownership of real production environments.
Database and performance judgment
Hands-on experience running and tuning production databases. You’ve dealt with slow queries, connection limits, migrations, and performance regressions, and built processes to prevent them from recurring.
Observability fluency
Practical experience with modern monitoring and tracing tools (we use Datadog), and an opinionated approach to what’s worth measuring versus noise.
Security and reliability awareness
Familiarity with IAM, networking, service-to-service authentication, and the realities of operating systems that customers depend on.
Product-minded infrastructure thinking
You treat infrastructure as a product: you prioritize well, make tradeoffs explicit, measure impact, and continuously improve rather than chasing theoretical perfection.
What brings us together is our commitment to:
Live to build
Run through walls and win
Obsess over customers in each line of code
Lose sleep over the "almost perfect"
Show internal locus of control
Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.