Founding Product Infrastructure Engineer

Netic

$130K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience with production systems at a major cloud provider, preferably GCP, AWS, or Azure.
  • Expert in infrastructure-as-code and CI/CD tools (e.g., Terraform, GitHub Actions).
  • Hands-on experience with production databases including performance tuning and migrations.
  • Practical knowledge of modern monitoring and tracing tools (e.g., Datadog) for observability.
  • Understanding of security best practices, including IAM and service-to-service authentication.
  • Product-minded approach to infrastructure, focusing on continuous improvement.

Responsibilities

  • Define and implement deployment strategies, including CI/CD, environment isolation, and failure recovery.
  • Manage databases and their performance at scale, guiding structure, operations, and migrations.
  • Establish and promote operational best practices for reliability and security across the team.
  • Plan and strategize infrastructure growth over the next 12-24 months to accommodate increasing customer and workload demands.
  • Collaborate with product and application engineers to enhance infrastructure resilience and efficiency.

Benefits

  • All roles are in-person in San Francisco, promoting collaboration and teamwork.
  • Work alongside top-tier talent from leading companies and prestigious schools.
  • Opportunity to contribute to impactful projects in AI and infrastructure for essential services.
Full Job Description
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. **What You'll Do** - **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. **What You'll Bring** - **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

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